S

Syed Muhammad Ali Naqvi

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Islamabad, Islamabad Capital Territory, Pakistan

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Résumé

Jobs verified_user 0% verified
  • Fiverr Freelancers
    Freelance Machine Learning Engineer
    Fiverr Freelancers
    Aug 2024 - Current (1 year 10 months)
    As a Freelance Machine Learning Engineer, I have successfully designed and implemented various AI-driven solutions tailored to specific industry needs. - Developed an intelligent Real Estate Chatbot Assistant utilizing OpenAI models to automate customer inquiries and enhance lead generation for real estate businesses. - Created a Football Analytics Application that employs computer vision techniques to detect and track footballs, accurately calculating speed and direction while identifying player-ball interactions. - Engineered a Pharmacy Chatbot using OpenAI’s GPT-4 model, providing automated assistance to pharmacy customers by answering inquiries about medications and services. Additionally, while my primary focus has been on machin
  • L
    Lecturer Computer Science
    Jan 2023 - Aug 2024 (1 year 8 months)
    As a Computer Science Lecturer, I focused on undergraduate education, teaching foundational courses such as Introduction to Computer Science, C++ Programming, Artificial Intelligence, and Java Programming to students pursuing a Bachelor of Science in Computer Science (BS CS) degree and other academic programs. My role involved not only delivering lectures but also developing academic programs and designing courses that aligned with industry standards. I utilized my expertise in Python and data science to enhance the curriculum, ensuring that students gained practical skills relevant to software engineering and artificial intelligence. Additionally, I integrated SQL concepts, including basic operations and CRUD (Create, Read, Update, Delete)
  • J
    Machine Learning Engineer
    JMM Technologies
    Aug 2022 - Dec 2022 (5 months)
    As a Machine Learning Engineer, I played a pivotal role in several innovative projects that leveraged advanced technologies to solve real-world problems. My work encompassed a broad range of machine learning tasks, from natural language processing to computer vision, with a strong emphasis on practical deployment and integration. − In the Speech-to-Text Generation App, I utilized various Python libraries, including the SpeechRecognition library and the Google Cloud Speech-to-Text API, to create a powerful tool for converting spoken language into written text, ensuring accurate and efficient speech recognition across multiple languages. − For the FilesInsights web application, built on the Dash framework, Langchain, and OpenAI, I contribut
  • J
    Data Scientist
    JMM Technologies
    Jan 2022 - Jul 2022 (7 months)
    − Social Media Listening Tool (SMLT): My primary role in the Social Media Listening Tool (SMLT) project involves meticulously gathering real-time data from diverse platforms such as Twitter, Facebook, LinkedIn, Pinterest, and YouTube. Specifically focused on a designated product, my contribution aims to discern public sentiments and opinions, providing valuable insights for strategic decision-making within the project. Additionally, I utilized API integration to enhance the functionality of various custom-built applications, ensuring seamless data flow and interaction between systems. My experience with large language models (LLMs) has informed my approach to analyzing and interpreting the data collected, allowing for more nuanced insights.
Education verified_user 0% verified
  • National University of Computer and Emerging Sciences
    MS Data Science
    National University of Computer and Emerging Sciences
    Jul 2020 - Jun 2022 (2 years)
  • Allama Iqbal Open University
    BS
    Allama Iqbal Open University
    Sep 2015 - Dec 2019 (4 years 4 months)
  • Coursera
    IBM Data Science Professional Certificate
    Coursera
Projects (professional or personal) verified_user 0% verified
  • M
    Medical Chatbot Using Llama2
    Feb 2025
    The Medical Chatbot is a powerful and versatile tool designed to provide instant information and assistance related to medical queries. Leveraging state-of-the-art natural language processing (NLP) models, including Llama2, and a user-friendly interface built with Streamlit, this chatbot aims to empower users with valuable medical insights and answers. This project involved robust software engineering practices, including the deployment of the entire application using CI/CD pipelines and GitHub Actions on AWS, ensuring efficient and reliable delivery.
  • D
    Dishcovery
    Feb 2025 - Apr 2025 (3 months)
    As a key contributor to the Dishcovery app, I played a vital role in creating an innovative platform that transforms the way users discover food options. The app allows users to easily find restaurants and takeaways based on their preferences, providing detailed reviews, menus, and price ranges. Users can interact with our AI foodie to express their mood, dietary needs, or specific dish desires, leading to personalized culinary recommendations. This project harnesses the power of Langchain, Streamlit, and OpenAI to enhance the user experience and make food exploration enjoyable. Additionally, I utilized MLflow for managing machine learning workflows, ensuring seamless deployment on GCP through GitHub actions, Docker, and a robust CI/CD pipe
  • C
    Contract Admin Assistant
    Dec 2024 - Feb 2025 (3 months)
    As a Contract Admin Assistant, I contributed to the development of a contract admin assistant application that utilizes Claude, an LLM from AWS Bedrock, to streamline the process of confirming delivery dates with manufacturers. The application efficiently generates email content, dispatches it to manufacturers, and updates the database with confirmed delivery dates upon receiving responses. Additionally, I leveraged my knowledge of MLflow for deployment on AWS, utilizing a CI/CD pipeline to ensure smooth integration and continuous delivery of application updates, thereby enhancing the overall efficiency of the contract management process.
  • JDiaz Business
    Walmart Sales in USA Analysis
    JDiaz Business
    Nov 2024
    As a Walmart Sales in USA Analyst, I conducted a comprehensive data-driven analysis of Walmart's US sales, utilizing Jupyter Notebook and pandas to address critical questions regarding top sales years, state performance, and individual product sales in the most profitable city, state, and year. This analysis unveiled valuable insights into peak performers and regional/temporal trends, which were instrumental in informing strategic decision-making for future retail success. Additionally, while my primary focus was on data analysis, my understanding of software engineering principles allowed me to enhance the efficiency of data processing workflows, ensuring robust data extraction, transformation, and loading (ETL) processes. This integration
  • C
    Chat Multiple Pdfs Using Gemini
    Nov 2024 - Dec 2024 (2 months)
    The Gemini Pro Pdf Chatbot is a Python application that allows you to chat with multiple PDF documents. You can ask questions about the PDFs using natural language, and the application will provide relevant responses based on the content of the documents. This app utilizes a language model to generate accurate answers to your queries. Please note that the app will only respond to questions related to the loaded PDFs.
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    PDF Chatbot Using OpenAI
    Aug 2024 - Sep 2024 (2 months)
    The MultiPDF Chat App is a Python application that allows you to chat with multiple PDF documents. You can ask questions about the PDFs using natural language, and the application will provide relevant responses based on the content of the documents. This app utilizes a language model to generate accurate answers to your queries. Please note that the app will only respond to questions related to the loaded PDFs. Additionally, I employed MLflow for tracking and managing the machine learning lifecycle, which included deployment on an AWS EC2 instance with dockerization, ensuring a robust and scalable application environment.
  • T
    Text Summarizing App Using Streamlit
    Jun 2022 - Jul 2022 (2 months)
    An application for text memorization was developed utilizing Streamlit, Spacy Summy, and Gensim, providing users with the capability to upload textual content and receive a condensed summary. In addition to Spacy, other libraries such as Sumy and Gensim were incorporated to concisely shorten the input text. The overarching objective of this application was to facilitate a comparative analysis of text summaries generated by diverse memorization libraries.
  • J
    Trading Bot For Stock Price Prediction and Trade Classification
    JMM Technologies
    Apr 2022 - Jun 2022 (3 months)
    Lee trade classification. algorithmic categorizing provided trades into distinct classifications, as buy or sell trades. An application for text memorization was developed utilizing Streamlit, Spacy Summy, and Gensim, providing users with the capability to upload textual content and receive a condensed summary. In addition to Spacy, other libraries such as Sumy and Gensim were incorporated to concisely shorten the input text. The overarching objective of this application was to facilitate a comparative analysis of text summaries generated by diverse memorization libraries.
  • T
    Technology Company Layoffs Analysis Using Google Big Query and Power BI
    Apr 2022 - May 2022 (2 months)
    Dive deep into layoff trends with this interactive Power BI dashboard, powered by Google Big Query. Choose your year and month, and unlock insights like top ten companies and sources involved, hardest-hit industries, company type breakdown, and a map of layoff hotspots. Easy-to-navigate scorecards, charts, and maps paint a clear picture of the layoff landscape, empowering you to make informed decisions based on real-time data.
  • J
    Car Damage Detection
    JMM Technologies
  • K
    KPOP Singers Data Analysis and Music Group Classification
    A comprehensive data analysis of K-pop was conducted, exploring various facets such as gender disparity, top-performing groups in terms of singer count, national representation of singers, and music genre classification via an MLP classifier. This investigation leveraged the robust capabilities of a Python stack incorporating pandas for data manipulation, NumPy for efficient numerical operations, Kaggle for data retrieval and exploration, and scikit-learn for advanced machine learning tasks.
  • S
    Stock Price Prediction Using LSTM
    As part of the project "Stock Price Prediction Using LSTM," I developed a sophisticated AI model powered by Google Colab, utilizing LSTM networks to forecast stock prices. Through the application of data manipulation tools like pandas and libraries such as NumPy and scikit-learn, I trained the model on historical price and volume data. The objective was to uncover future market movements, enabling informed investment decisions by moving beyond simplistic models to effectively capture complex time series dynamics. By feeding the model historical data, we aimed to enhance its predictive capabilities, thereby boosting accuracy and confidence in future investment opportunities. Additionally, I applied principles of Agile methodology to streamli