Abhijeet Mazumdar

Abhijeet Mazumdar

About

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Transforming Solutions & Industries with GenAI | Previously - Head of AI & MLOps @Binoloop | CTO @ClearSpot | AI SW Solutions @Intel | EDGE AI Engineer @GE
Toronto, Ontario, Canada

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Résumé

Jobs verified_user 0% verified
  • T
    OSS Contribution
    Transformer Lab
    Feb 2025 - Current (1 year 4 months)
    Contributing to Transformer Lab - An OSS tool for finetuning, testing, and evaluating LLMs and Embedding Models locally. - Building plugins for TransformerLab - Architecture for Enterprise solutions
  • ArthaNex
    Founder and CTO
    ArthaNex
    Aug 2024 - Current (1 year 10 months)
    An AI SaaS Platform for Algorithmic Back-testing and Market Sentiment Analysis. This initiative is a part of 'Industrodrome' where a group of passionate young minds are trying to make a FinTech product for Equities and Options Market. > Overseeing the product strategy and AI based back-testing and learning platform creation. > Technical Leadership for development and deployment of the FinTech platform.
  • K
    OSS Contribution - KRS
    Kubetools
    Jun 2024 - Oct 2024 (5 months)
    Building and maintaining KRS - Kubetools Recommender System - A GenAI based OSS that can do the following: > Scanning the Kubernetes cluster > Detecting tools from the repository > Extracting rankings from CNCF > Generating recommendations for best tools > Health check for all pods > Exporting pod information > Chatting with your cluster using commercial and self hosted LLMs > MCP integration with your cluster for auto provision and kill.
  • B
    Head of AI & MLOps
    Binoloop
    May 2024 - Feb 2025 (10 months)
    Implemented Generative AI solutions and provided strategic and technical leadership across the full lifecycle of Machine Learning initiatives, ensuring our organization remains at the forefront of innovation while complying with industry and government regulations (SOC2, NIST, FedRAMP). ML Research & Architecture: Lead cutting-edge ML research efforts and implemented RAG, agentic and fine-tuned LLM pipelines tailored to diverse use cases. Regulatory Compliance: Established technical controls for handling PII and sensitive data, maintaining alignment with SOC2, NIST, and FedRAMP guidelines. MLOps & Cloud: Lead MLOps best practices on GCP, including IAM, security, and scalable SaaS deployments. Agile Delivery: Managed biweekly sprints, m
  • I
    Founder and Advisor
    Industrodrome
    Apr 2023 - Current (3 years 2 months)
    A non-profit initiative. Industrodrome promotes research and reduces the gap between academia and industry. > Gather Industry problems and prioritize them into buckets. > Research on an idea to solve the problem and nurture it into a POC using volunteer students from different universities. > Incubate a POC into a successful startup, providing the young students with assistance as needed.
  • C
    CTO & Head of AI
    ClearSpotai
    Feb 2023 - Mar 2024 (1 year 2 months)
    Chief Technology Officer at ClearSpot, a cutting-edge platform for developing image processing and drone controls use cases for multiple segments. • Let the vision, product roadmap and go-to-market strategy for Drone AI applications. • Cultivated a high-performing team of over 30 in engineering, sales and marketing, emphasizing collaboration and results-driven approaches. • Oversaw market research, identifying key trends, customer needs, and competitor movements in the EDGE AI sector. • Pioneered the creation of 20+ tailored AI applications, focusing on real-time analytics and EDGE computation. • Established relationships with 50+ clients, skillfully gathering requirements, addressing challenges, and delivering custom
  • Intel Corporation
    Staff AI SW Solutions Engineer
    Intel Corporation
    Nov 2020 - Feb 2024 (3 years 4 months)
    AI/ML Pipelines: Successfully led the design, development, and deployment of both traditional and generative AI/ML solutions on Edge, Cloud, and IoT platforms. Optimized model training, inferencing, and deployment, ensuring robust performance and scalability. Innovative Research: Spearheaded R&D on cutting-edge ML applications—including Large Language Models (LLMs), Computer Vision, and Time-Series analysis—resulting in multiple breakthroughs and real-world products. Rapid Prototyping: Streamlined project feasibility by creating proof-of-concept prototypes, reducing development cycles by 40%. Team Leadership: Elevated team performance through bi-weekly one-on-ones, best coding practices, and ongoing mentorship, fostering a high-performin
  • GE Renewable Energy
    Lead EDGE AI Controls Engineer
    GE Renewable Energy
    Jan 2017 - Nov 2020 (3 years 11 months)
    > Researched and benchmarked novel techniques of Machine Learning, generating applications for multiple business use cases. > Utilized machine learning concepts to make the system more intuitive, robust and less susceptible to disturbances. > Designed and deployed ML and optimization based apps for Wind Turbines and Hybrid-Energy systems (IIoT). > Used advanced data analytics and optimization methods to enhance energy output and reduce operating costs. > Automated the Testing and validation tools for the developed features on wind farms for deployment and commissioning. > Contributed to user and product configuration management, sustenance, and customer support.
  • Indian Institute of Technology Kharagpur
    Junior Research Fellow
    Indian Institute of Technology Kharagpur
    Jul 2016 - Jan 2017 (7 months)
    Autonomous Vehicle Path Planning: Developed path-planning, optimization, and obstacle avoidance algorithms for an autonomous vehicle using Computer Vision. Leveraged kinetic sensors for environmental mapping and route optimization to ensure accurate, efficient navigation. Robust MIMO Control for Missiles: Designed a multi-variable robust PID controller to handle high-angle-of-attack missiles, where decoupled pitch, yaw, and roll loops become ineffective. This MIMO control system simultaneously governed all six degrees of freedom, enabling stable and precise maneuvering.
  • IIT Roorkee
    Research And Teaching Assistant
    IIT Roorkee
    Jul 2014 - Jun 2016 (2 years)
    Project developer, Researcher and Teaching assistant to Dr G.N.Pillai > Researched on novel model order reduction techniques using Machine Learning and other approaches. > Co-created ELANFIS - Extreme Learning Adaptive Neuro Fuzzy Inference System for providing one epoch training solution for signal replication of complex higher order systems. > Worked on experimenting with non-conventional activation functions for feed forward Deep Neural Networks including hybrid approaches like Fourier Transform integration. > Provided lectures on machine learning, electrical engineering, and proctored tests for Junior students.
Education verified_user 0% verified
  • Purdue University
    Post Graduate Program, AI and Machine Learning
    Purdue University
    Jan 2020 - May 2022 (2 years 5 months)
  • SimpliLearn
    Master's degree, Cloud Architect
    SimpliLearn
    Jan 2020 - May 2022 (2 years 5 months)
  • Technische Universität Berlin
    Master’s Thesis Research, Optimal Control Systems
    Technische Universität Berlin
    Jan 2015 - Jan 2016 (1 year 1 month)
  • Indian Institute of Technology Roorkee
    Master’s Degree, Control Systems
    Indian Institute of Technology Roorkee
    Jan 2014 - Jan 2016 (2 years 1 month)
  • SRM University
    Bachelor’s Degree, Electronics and Instrumentation Engineering
    SRM University
    Jan 2010 - Jan 2014 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • P
    Path optimization and obstacle avoidance for an autonomous vehicle (Utilizing Computer Vision)
    Aug 2016 - Dec 2016 (5 months)
    Worked on finding the shortest path to goal for an autonomous vehicle using visual kinetic sensors to track and map obstacles and then utilizing the mapped environment along with various optimization algorithms (Astar, dijkstra, etc) to reach the goal.
  • R
    Robust MIMO PID controller for high-angle-of-attack-missiles
    Jul 2016 - Nov 2016 (5 months)
    Modelled the aerodynamics for a high-angle-of-attack missile and helped develop a Robust MIMO PID controller using the model. Due to high angle of attack, the pitch, yaw and roll moments are coupled and hence individual SISO PID controllers do not work, therefore a single MIMO controller was needed which could effectively control all the coupled moments.
  • O
    Optimal Multi-Robot Exploration for Static Environments
    Jul 2015 - May 2016 (11 months)
    Optimized the exploration or surveillance cost of an unknown environment associated with uncertainty by a group of coordinated robots. The paths were described as continuous parametric functions which can be manipulated by their parameters. The cost function taken into account was the total uncertainty of mission space points and the path parameters were updated using the derivative of the uncertainty with respect to parameters thus reducing the cost in the process. Algorithm was developed in MATLAB and tested on a group of Quadcopters.
  • E
    Extreme Learning ANFIS for controls applications
    Apr 2015 - Jul 2015 (4 months)
    Worked on developing various control applications using extreme learning ANFIS, a new method developed combining the flexibility of neural networks and the efficiency of fuzzy controls modeling with extreme learning capabilities. Researched on the model predictive control capabilities of machine learning using support vectors, reinforcement learning and evolutionary training methods such as particle swarm optimization and genetic algorithm.
  • M
    Model order reduction using Neural Networks
    Jan 2015 - Apr 2015 (4 months)
    Developed a new model order reduction technique utilizing artificial neural networks for higher order systems by replicating the step response by training a multi layered network and obtaining the transfer function coefficients.
  • A
    Applications of Tongue drive systems - Wheelchair
    Jul 2013 - Apr 2014 (10 months)
    Tongue is the muscle which is easiest to move even under partial paralysis. Therefore, a wheelchair was developed to assist the differently-able which can be controlled by tongue. A head-worn apparatus with hall sensors and a RF transmitter was constructed to provide wireless control. A magnetic bead embedded on tongue would enable the user to control the wheelchair effectively with his/her tongue.
  • M
    Metal and temperature monitoring in unknown environments
    Apr 2013 - Jan 2014 (10 months)
    A basic robot with line-following and path memory capabilities was built which can monitor temperature and detect different kinds of metal and toxic gases in an unknown environment for detecting any bio-hazards or threats.
Awards verified_user 0% verified
  • GE Renewable Energy
    Great People Award
    GE Renewable Energy
    Nov 2019
    Great people award and cash prize for contributions towards critical business objectives with high quality.
  • GE
    Innovator's Bronze Medal
    GE
    Sep 2017
    Received bronze medal as well as cash prize for filing my first patent.
  • D
    DAAD IIT MSP Scholarship
    DAAD Organisation
    Sep 2016
    I was among the few fifty students from India to be given a chance to work on a project abroad to assist in my master's degree with an astounding scholarship of 750 Euros/month.
  • G
    GATE All India Rank 58
    GATE Administration
    Mar 2014
    Obtained All India Rank 58 in the Graduate Aptitude Test in Engineering (GATE) examination, where around 100K candidates appear for the exam every year.
  • SRM University
    Young Scientist Grant
    SRM University
    Mar 2014
    Recipient of Young Scientist Grant to develop a real scale model of my bachelor’s thesis, which was a tongue driven wheelchair for the differently-able.
  • UNSW Australia
    Distinction in International Math Olympiad
    UNSW Australia
    Oct 2007
    I achieved a distinction level in the international Math Olympiad held by UNSW Australia in 2007.