Kanis Patel

Kanis Patel

About

Detail

Co-founder @ Founsi AI
Calgary, Alberta, Canada

Timeline

work
Job
school
Education
folder
Project

Résumé

Jobs verified_user 0% verified
  • Kinaxis
    Forward Deployed Engineer
    Kinaxis
    Aug 2026 - Current (2 months)
    Forward Deployed Engineer on the Agentic Solutions team at Kinaxis. I embed with enterprise customers to design, build, and ship agentic AI solutions on the Kinaxis Maestro platform, taking supply chain decisions from insight to real-world outcomes.

    Focus: multi-agent systems, RAG, LLM tool use, data pipelines, evaluation, and production deployment inside customer environments.
  • Founsi AI
    Co-Founder
    Founsi AI
    Feb 2026 - Current (8 months)
    We’re building a simple system for remembering the physical world.
    No manual entry. No busywork. No junk drawers.

    Point your camera. Your inventory builds itself. This isn’t inventory management. It’s augmented memory for real life. Because your attention belongs with people, not possessions.
  • Binoloop
    Co-Founder (CTO)
    Binoloop
    Aug 2023 - Jan 2026 (2 years 6 months)
    Giving life to artificial perception by combining the best of Automatic Speech Recognition, Computer Vision and Large Language Models.

    Stay tuned ... New developments coming soon.
  • A
    Manager in Data Science
    Ai Startup
    Jul 2022 - Feb 2023 (8 months)
    - Guiding and assisting in the development of the AutoML tool.

    - Responsible for leading the development of new features, and unsupervised machine learning capability for the AutoML tool.

    - Collaborated with cross-functional teams to analyze large datasets using Spark, Scikit learn, Tensorflow, and PyTorch, identifying key trends and patterns to inform strategic decision-making.

    - Led a team of data scientists, software developers and consultants in translating complex business goals into actionable analytical problems, delivering high-quality results on-time and within budget.

    - Developed, validated, deployed model on cloud, monitored and provided support for a variety of AI/ML models and service
  • PwC Canada
    Senior Data Scientist/ Senior Associate
    PwC Canada
    Nov 2021 - Jul 2022 (9 months)
  • PwC Canada
    Senior Associate
    PwC Canada
    Nov 2021 - Jul 2022 (9 months)
    - Designed and executed comprehensive data analysis plan, resulting in identifying top risk factors for the Crown corporation and reducing potential financial losses by 30%.

    - Collaborated with cross-functional teams to design and develop a comprehensive dashboard on Google Cloud Platform, allowing government officials and stakeholders to monitor spending patterns in real-time.

    - Collected and engineered data to generate detailed visualizations of crime data using PowerBI software, allowing law enforcement officials to quickly identify high-risk areas and allocate resources accordingly.

    - Participated in developing new capabilities for harnessing the power of Natural language processing in collaboration wi
  • Polyseam
    Machine Learning Developer Intern
    Polyseam
    Jul 2021 - Nov 2021 (5 months)
    - Using ML to create a hybrid recommendation system (Collaborative and content-based).
    - Developing Real-time data processing and ML application tool using Apache ecosystem and python sci-kit learn library.
  • AltaML
    Machine Learning Developer Associate
    AltaML
    Jul 2021 - Sep 2021 (3 months)
    - Collaborating with one of the biggest oil companies in Canada to develop machine learning models that could improve the efficiency of oil extraction using machine learning.

    - Working in a CI/CD environment using agile methodologies and cloud technologies like Microsoft Azure to not only develop and design machine learning pipeline but preparing the ML model for production and deployment (Machine Learning Operations).
  • Quantum Design and Technologies Inc
    Machine Learning Assistant
    Quantum Design and Technologies Inc
    Jan 2021 - Jul 2021 (7 months)
    - Assisting software engineer with coding and programming for Quantum’s oil well diagnostic tool
    - Data preparation: analyzing and examining tagged data to ensure accuracy and consistency
    - Feature engineering: determining the best features to use in the machine learning algorithms using data analysis and data processing
    - Algorithm testing and evaluation: documenting best approaches and success rates through trial
    and error
    - Provide direct feedback to software engineer regarding data processing and feature extraction, in
    order to automate the diagnostic tool
    - Integrate changes into the diagnostic tool based on data acquired through simulations and field
    trials
    - Developed a multiclass classi
  • Albertaloop
    Mechanical Team Lead
    Albertaloop
    Oct 2019 - May 2021 (1 year 8 months)
    - Leading a team of students to design and develop of Aeroshell, chassis and suspension system for a Hyperloop pod
    - Actively finding new solutions to develop a low cost high efficiency aerodynamic pod design with the help of Computational Fluid Dynamics.
  • University of Alberta
    Graduate Student
    University of Alberta
    Sep 2018 - May 2021 (2 years 9 months)
    - Was involved with the application of Computational Fluid Dynamics to assess Multiphase flows.
    - Development of numerical solvers in Python for predicting the physics of the flow.
    - Using Machine Learning to predict the particle distribution within the multiphase flow systems.
    - Working closely with different research groups around the world to obtain the data needed to apply machine learning models.
    - Collaborating with more than 20 researchers from different universities around the globe.
  • Indian Institute of Technology Mandi
    Research Intern
    Indian Institute of Technology Mandi
    Jun 2017 - Jun 2018 (1 year 1 month)
    - Used Method of Manufacturing solutions to validate and implement Bivariate Population Balance Equation using Computational Fluid Dynamics
    - Also involved in design and development of Solar dryer for commercial purposes.
  • Technical University of Ostrava
    Vocational Trainee
    Technical University of Ostrava
    May 2016 - Jul 2016 (3 months)
    • Optimization of parameters for efficient disintegration of rocks using pulsating water jet machining.
    • Surface analysis of rocks disintegrated by water jet machining via laser microscopy and 3D laser mapping.
    • Comparison and analysis of economical and scientific aspects of water jet machining and became familiar with various unconventional machining processes.
    • Collaborated and worked with people from different parts of the world in multi-disciplinary fields.
  • Indian Space Research Organisation
    Trainee
    Indian Space Research Organisation
    May 2015 - Jul 2015 (3 months)
    Indian Space Research Organisation (ISRO) is involved in various activities related to space mechanical engineering and space exploration. ISRO consists of various division, i was specifically involved in the activities at Antenna Mechanical Design Division (AMDD) which is presently under Mechanical Engineering Systems Area(MESA) at Space Application Center(SAC) in Ahmedabad, Gujarat ,India.
    AMDD indulged me into the activities relating to Space Inflatable Structures. During this period I worked on the Study Of Canister Design For Space Inflatable Structure.
  • AIESEC
    Intern
    AIESEC
    May 2014 - Jul 2014 (3 months)
    A person is a sole composition of his personality, knowledge, etiquette and communication skills that he owns. This social internship was all about exchanging cultures and providing social service to the much needed society.I was provided with an oppurtunity to share my knowledge of indian culture with students of different grade in a small town Sterlitamak some 70 miles from Ufa, capital of Bashkartostan. The internship highly elevated my communication skills along with knowledge of different cultures and people.It made me independent and self-sufficient. also taught me financial management which i was totally poor at. The internship provided me wit c
  • Indian Institute of Technology Indian School of Mines Dhanbad
    Student
    Indian Institute of Technology Indian School of Mines Dhanbad
    Jul 2013 - May 2017 (3 years 11 months)
    Bachelor of Technology in Mechanical Engineering
Education verified_user 0% verified
  • University of Alberta
    Master of Applied Sciences, Mechanical Engineering
    University of Alberta
    Jan 2018 - Jan 2020 (2 years 1 month)
  • Indian Institute of Technology Indian School of Mines Dhanbad
    Bachelor of Technology in Mechanical Engineering, Mechanical Engineering
    Indian Institute of Technology Indian School of Mines Dhanbad
    Jan 2013 - Jan 2017 (4 years 1 month)
    Research Oriented mechanical engineering student, pursuing photography as a dilettante
  • N
    Senior High School, Physics
    Nalanda Academy
    Jan 2011 - Jan 2013 (2 years 1 month)
    12th standard
Projects (professional or personal) verified_user 0% verified
  • D
    Developing a Search and Recommendation Tool for Master Data Management
    Oct 2022 - Feb 2023 (5 months)
    • Developed backend (Python), frontend (React) and a semi supervised machine learning model (Kmeans with pre trained transformers for developing vector embeddings) to search recommend user mechanical parts from an inventory of 40 million items.
  • L
    Led Design and Development of Application to Enhance Wellness in Corporate Building (AI, Sensor data)
    Jul 2022 - Feb 2023 (8 months)
    The idea was to enhance the wellness of an individual in a workplace by monitoring, forecasting and varying air quality parameters (Air quality Index, Temperature, Humidity, Carbon monoxide, Particulate matter, inorganic and organic gases) using sensors, machine Learning and air conditioning systems.

    - Led a team to design and integrate frontend to display real time data from more than 200 sensors located in different rooms and floors in a corporate building.

    - Performed the first hand evaluation of sensor data to understand the feasibility of developing a forecasting model that could predict deterioration in air quality parameters (BrewAI's AutoMl tool was used to perform forecasting)

    - Understood and appli
  • D
    Development of Anomaly Detection Tool
    Jul 2022 - Jan 2023 (7 months)
    • Led a team of software developers and machine learning engineers to design an application that could detect anomalies in US presidential budget for Department of Defense, spread over 600,000 pages.
    • An OCR tool was developed and deployed to accurately extract various tables from different pdf’s, the extracted text was then used an input to NLP systems.
    • Used sci-kit learn (Kmeans with Levenshtein distance) to develop an unsupervised ML model for clustering, Pretrained transformers like BERT and GPT were also used to create word embeddings for understanding relationships across various documents (Used TensorFlow).
  • T
    Tracking Hate Crime
    Feb 2022 - Jul 2022 (6 months)
    Designed an end to end pipeline for performing topic modelling on various news paper articles to track hate crime in various counties of canada. The reporting and UI interface was developed and deployed on PowerBI.

    - Scrapped newspaper articles from googlenews using python and performed Topic Model using ML (Latent Dirichlet Allocation (LDA)).

    - Developed various visualizations using PowerBI and deployed on Azure.
  • F
    Financial Optimization for a Canadian Crown Corporation
    Feb 2022 - May 2022 (4 months)
    Kanishk led the analytics team to design and develop an ETL pipeline that has capability of extracting the necessary data from the financial documents, transforming the extracted data and presenting it in a lucid user-friendly format on a dashboard on cloud. The process was aimed at enforcing the allotment of budget to various projects in alignment
    with corporate strategy.
  • D
    Development of Neural Assistant Agent Framework for Customer Support
    Jan 2022 - Jul 2022 (7 months)
    Building Agent Assistants that can help improve customer service support requires inputs from industry users and their customers, as well as knowledge about state-of-the-art Natural Language Processing (NLP) technology.
    We curated a dataset by scraping FAQs from various bank websites to train a LLM model to answer user queries on related to finance.
  • A
    Automating Billing and Invoicing for a Federal Client
    Jan 2022 - Mar 2022 (3 months)
    Kanishk led design, development and documentation for automating billing and invoicing. The design and development to carry forward the automation was performed on Python, where ETL was leveraged to transform the data and visualise it. The automation of billing process improved the operational efficiency of the project while reducing the cost required in maintaining an asset to perform biweekly reportings.
  • F
    Forecasting Gas Oil Ratio for a Large Oil Company
    Nov 2021 - Feb 2022 (4 months)
    Kanishk participated in analysis and predictive modelling of data pertaining to the oil and gas industry to create a model that could be used to predict the amount of oil production from any given well. Extensive exploratory data analysis was performed on the reservoir engineering and geoscience data pertaining to wells located in Southwest Alberta. Kanishk provided key inputs that led to development and deployment of the machine learning model.
  • A
    Assisting Development of LLM’s for Assigning Risk Scores to Companies based on Financial Parameters
    Oct 2021 - Apr 2022 (7 months)
    • Worked on development of a large language Model (LLM’s) that takes in the information from financial documents (10K, 10Qs, and 8Ks) to judge performance and assign them a risk score and generate information various financial indicators.
    • Various worker bee models were developed (using Linear regression, Logistic regression, SVM’s, Decision Trees and ensemble models) to predict financial and risk indicators from stocks.
  • D
    Development of Virtual Flow Meter for a Large Oil Company
    Jul 2021 - Sep 2021 (3 months)
    Kanishk led the development of a machine learning model that could potentially remove the necessity for a mechanical device responsible for measuring oil, water and gas flow rates from an oil well.
    • Stored and consumed large amounts of data from Azure Data Factory, performed prescriptive analysis using scikit learn and Azure AutoML. Model training was performed using Azure AutoML.
    • A predictive model (combination of a tree-based model and elasticNet) with an accuracy (MPE) greater than 80 percent was deployed using Azure to have an estimated ROI of 4 million dollars per annum.
  • U
    Using SQL to Analyze Yelp Dataset
    May 2021 - Jun 2021 (2 months)
    Efficiently used SQL and wrote queries in SQLite to understand and harvest data from a large online dataset by Yelp.
  • D
    Detecting and Classifying Events in an Oil Well from Pressure and Vibration Sensor
    Jan 2021 - Jun 2021 (6 months)
    • Developed a multiclass classification model to classify different events in oil well by applying machine learning to pressure and vibration sensor data (Time Series data).
    • Performed signal Processing, used anomaly detection models (IsolationForest, DBSCAN) to detect events, developed a classification model (assisted by Fast Fourier Transform on Temporal data) to classify the events.
  • D
    Developing a Data Warehouse and Providing Real Time Analysis on Sensor Data
    Jan 2021 - Jun 2021 (6 months)
    • Used AWS to create a data warehouse for collecting sensor data from various oil wells, used Apache spark for data analysis and performed predictive analysis to detect outages based on sensor data.
  • S
    Sentiment analysis
    Jan 2021 - Apr 2021 (4 months)
    The reviews on different food dishes were analyzed to ameliorate the hybrid recommendation system, which can suggest new dishes that a customer might like.
  • R
    Recommending Food Recipes
    Jan 2021 - Apr 2021 (4 months)
    The goal was to use Natural language processing (NLP) to associate recipes across various cuisines. I used the famous nltk library for cleaning the text data (i.e stemming, lemmatizing, removing stop words, removing special characters, etc). We used various unsupervised learning algorithms (KNN, Multilayer perceptrons, Random Forest, and Naive Bayes) to club and cluster over 60000 recipes spread across more than 100 cuisines.
  • D
    Development of a Numerical Solver in python
    Oct 2020 - Dec 2021 (1 year 3 months)
    A Python code spanning over 1000's of lines and various modules was developed to evaluate the physics behind the breakage and aggregation of liquid droplets in static mixers.
  • O
    Optimization of Mixing Process using Machine Learning
    Oct 2020 - May 2021 (8 months)
    The project involves the development of a novel machine learning model for optimizing the process of producing liquid-liquid emulsions via a continuous mixing process.
  • T
    Testing numerical implementation of Finite Element Method in Open Source Software - Fluidity
    Aug 2017 - Apr 2018 (9 months)
    Implementing various test cases in Fluidity (an open-source software used for simulating flow physics) to analyze and test the validity of a numerical solver based on the Finite element method. The test cases were coded in Fortran - 95.
  • A
    Analysis of Abrasive Water jet Machining
    May 2016 - Jul 2016 (3 months)
  • T
    Transient Temperature measurement of a flat plate under forced convection
    Aug 2015 - May 2017 (1 year 10 months)
    This work presents an experimental investigation for the transient temperature measurement for a flat plate. The plate is exposed to a convective heat transfer on the top and a constant heat flux from the bottom surface. The results have been obtained using DALI Technologies® T8 thermal imaging camera while the plate is undergoing transient temperature changes till it attains a steady state. Measurement of transient surface temperature and heat flux is the major requirement in many scientific and engineering applications such as design of combustion chamber in internal combustion engines, design of systems/sub-systems like heat exchanger, steam/gas turbines and thermal protection systems for high speed Aerodynamic vehicles. Temperature is o
  • D
    Design and Fabrication of Wind Tunnel for Transient Temperature Measurement
    Jul 2015 - Sep 2015 (3 months)
    There was a need to develop an instrument analogous to wind tunnel to measure steady temperature and transient temperature changes under forced convection. During the project i was able to improvise my modelling skills on SolidWorks as well as learn methods of fabrication and methods of digital measurement. I was also able to be familiar with Thermal Imaging camera, Thermocouple and hot wire anemometer.
    The project was a great success and we were able to measure temperature changes and wind speed with desired accuracy.
  • C
    Canister Design For Space Inflatable Antenna
    Jul 2015 - Aug 2015 (2 months)
    A development in the project " literature Review on Canister Design for Space Inflatable Structures".
    The project is still undergoing with Indian Space Research Organisation.
  • L
    Literature Review on Canister Design for Space Inflatable Structures
    Jun 2015 - Aug 2015 (3 months)
    Inflatable structures are structures which use pressurized gas, liquid or solid to maintain shape, rigidity and can sustain harsh environments. Space structures have very stringent requirements and limitations. To meet with these limitations a new type of space structures came into existence known as inflatable space structures. Inflatable space structures provide reliable, low weight, low launch volume alternative to conventional space structures.
    Designing a canister for packaging the inflatable structure efficiently is cause of concern, hence Indian Space Research Organisation (ISRO) provided us with an opportunity to develop and contrive a canister for Space Inflatable Antenna
    The project is still undergoing as " Canister Des
  • S
    Sunshine
    May 2014 - Jun 2014 (2 months)
    The project was organised by AIESEC Ufa, Russia. This project involved teaching English to students in remote parts of Bashkortostan, Russia. The project brought me more closer to truths of real world. The project improved my speaking and communication skills with increase in my personality.
Publications verified_user 0% verified
  • D
    EXPERIMENTAL ANALYSIS OF TRANSIENT TEMPERATURE MEASUREMENT OF A FLAT PLATE SUBJECTED TO FORCED CONVECTION
    DEC
    This work presents an experimental investigation for the transient temperature measurement for a flat plate with dimension 200X200X2mm. The plate is exposed to a convective heat transfer on the top and a constant heat flux from the bottom surface. The results have been obtained using DALI Technologies® T8 thermal imaging camera while the plate is undergoing transient temperature changes till it attains a steady state. Measurement of transient surface temperature and heat flux is the major requirement in many scientific and engineering applications such as design of combustion chamber in internal combustion engines, design of systems/sub-systems like heat exchanger, steam/gas turbines and thermal protection systems for high speed Aerodynamic
This is a community-created genome.