About me

Artificial Intelligence and Machine Learning Engineer

With a strong foundation in Artificial Intelligence and Machine Learning, I specialize in developing intelligent systems for real-world applications, ranging from autonomous robotics and semantic search to time series forecasting and computer vision. My work blends deep learning, NLP, and data analysis to solve complex problems in diverse domains.

I have hands-on experience with tools and frameworks like TensorFlow, Scikit-learn, BERT, and Sentence Transformers, and have deployed AI models in scalable environments using Flask, FastAPI, and Streamlit. My research has contributed to advanced autonomous navigation systems, multilingual semantic search, and labor market analytics, with multiple publications in Springer and Elsevier.

Currently pursuing a Master’s in Computer Science at Rutgers University, I’m driven by a passion for applied AI—integrating data-driven methods and machine learning to build efficient, innovative, and impactful solutions.

What I'm Doing

  • AI & ML

    Designing and deploying machine learning models for forecasting, computer vision, and NLP applications using TensorFlow, Scikit-learn, and Hugging Face Transformers.

  • Data Science & Robotics

    Combining machine learning with robotics to solve real-world challenges—ranging from autonomous navigation and object detection to data-driven decision-making using computer vision and sensor fusion techniques.

  • Applied AI Research

    Leading and contributing to real-world AI research in areas like autonomous robotics, semantic search, and labor market analysis. Published in Springer and Elsevier.

  • Full-Stack Development

    Developing secure and scalable web applications using React, Flask, and FastAPI. Integrating backend APIs with modern front-end frameworks to build interactive user experiences.

Certificates

Resume

Education

  1. Rutgers University

    2024 — 2026
    • Masters of Science in Compter Science

  2. Charusat University

    2020 — 2024
    • Bachelor of Technology in Information Technology

Experience

  1. Hyperspectral Agricultural Research Vehicle

    U.S. Department of Agriculture (USDA), New Jersey, US
    May 2025 — Present
    • • Automated a previously manually working Farm-ng robot using GPS RTK (1–2 cm accuracy) and depth cameras to navigate over 10 acres of cranberry fields.
    • • Built heatmap-based path planning by combining RTK and depth data, improving accuracy by 10% over segmentation models.
    • • Achieved 90% autonomous navigation in field tests and reduced manual monitoring by 75%.
    • • Currently integrating a hyperspectral camera to detect plant diseases, count fruits, and support crop maturity analysis.

  2. Python Developer

    Information and Library Network (Govt. of India), Gandhinagar, Gujarat
    Dec 2023 — Jul 2024
    • • Led a 3-member team to develop AI search algorithms, boosting content retrieval accuracy by 40%.
    • • Conducted in-depth research on NLP models to optimize search performance, and implemented BERT and Sentence Transformers, improving multilingual search across 10+ Indian languages.
    • • Pioneered a keyword-free semantic search system, reducing retrieval time by 60% across 50,000+ records.
    • • Published research on multilingual semantic search in Springer and Elsevier.

  3. Python Engineer Intern

    Innovatics, Ahmedabad, Gujarat
    Dec 2023 — Jul 2024
    • • Developed a computer vision web app using Flask, FastAPI, and Mediapipe, processing 150+ images per minute with 98% accuracy.
    • • Deployed scalable APIs, optimizing data retrieval and enhancing system integration for 50 real-time requests per minute.
    • • Optimized backend workflows, reducing response time by 40% and enhancing system performance.

  4. Database Management Intern

    Charly Computers, Ahmedabad, Gujarat
    May 2022 — July 2022
    • • Developed a visual desktop grocery store application using VB.NET and MySQL with both user and admin interfaces.
    • • Implemented user-side features for adding, editing, and managing carts and wishlists.
    • • Built an admin dashboard to monitor, manage, and update products in real time.

My Skills

  • AI - ML
    80%
  • Cloud Computing (AWS, GCP, Azure)
    70%
  • Applied AI Research
    75%
  • Full-Stack Development (Django, React, FastAPI, Flask, Firebase)
    75%
  • Python Development
    85%
  • Robotics & IOT
    70%

Projects

  • U.S. Labor Market Projections: Pre and Post-Pandemic Analysis

    Technologies: Big Data, Dashboard, Storytelling

    • • Preprocessed and integrated large datasets from the Bureau of Labor Statistics using pandas and openpyxl, cleaning and merging data for analysis.
    • • Developed an interactive dashboard with Plotly, showcasing 3-D visualizations for trend analysis and storytelling.
    • • Applied machine learning techniques using scikit-learn to analyze labor market changes, focusing on factors like educational attainment, skills requirements, and geographic shifts.

    Developed: Nov 2024

  • Multiple Time Series Forecasting

    Technologies: Python, TensorFlow, Scikit-learn, Time Series Analysis

    • • Evaluated performance of deep learning and statistical forecasting models across diverse datasets.
    • • Achieved optimal results with the N-BEATS model, attaining a minimum Mean Absolute Percentage Error (MAPE) of 0.18.
    • • Published a research paper detailing the project's methodology, model comparisons, and key findings.

    Developed: Apr 2023

  • Glassdoor

    Technologies: Web Scraping, Predictive Modeling, Data Analysis

    • • Comprehensive project lifecycle from data collection to model deployment.
    • • Obtained dataset through web scraping, then cleaned and preprocessed to remove 5% of data and manage outliers.
    • • Trained various ML models on cleaned dataset, achieving 89.9% accuracy in predicting future and missing values.
    • • End-to-end data science project covers all stages from sourcing to deployment.

    Developed: Nov 2022

  • Django E-Commerce Website Development

    Technologies: Big Data, Dashboard, Storytelling

    • Developed a scalable backend using Django and PostgreSQL, implementing a RESTful API for dynamic product management and user authentication.
    • Designed a responsive frontend with HTML, Js, and Bootstrap, ensuring seamless cross-device compatibility.
    • Deployed the application on Heroku, utilizing Docker for containerization and CI/CD pipelines for automated testing and deployment.

    Developed: Jan 2024

  • Car Parking Platform Development

    Technologies: PHP Development, Docker, Stripe integration

    • Developed a car parking platform using PHP, MySQL, and Docker, enabling real-time parking availability updates across 5+ locations.
    • Integrated Stripe payment gateway, processing over 100 transactions/month, for secure and seamless payments.
    • Implemented automated testing and optimized user experience with a mobile-responsive design, reducing load time by 30% for enhanced user engagement.

    Developed: Mar 2024

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