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rishishanthan/README.md

👋 Hi, I’m Rishi Shanthan Bhagavatham

🎓 Graduate Student in Data Science @ University at Buffalo (Expected May 2025)
💡 Passionate about AI, Machine Learning, and Computer Vision — with experience in building intelligent systems that combine research insight and real-world scalability.

🚀 About Me

I’m an aspiring AI Engineer / Data Scientist / Computer Vision Researcher, focused on solving challenging real-world problems through data-driven insights and deep learning models.

My projects span across domains — from autonomous traffic object detection, transformer architectures for text understanding, financial LSTM forecasting, to molecular dynamics simulation using LAMMPS and MATLAB.

I enjoy transforming complex datasets into practical applications and have experience with the entire ML pipeline — data preprocessing, model building, optimization, visualization, and deployment.

✨ Please do checkout my new blackberry, lime image classifying live web app. It is a bit interesting 😅.

Repo Link for information, Web app link

🧠 My Technical Skills

Languages: Python, MATLAB, SQL, R, C

Core Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, OpenCV, Seaborn
Deep Learning Frameworks: PyTorch, TensorFlow
Specialized Areas:

  • Neural Networks (CNNs, RNNs, LSTMs, Transformers)
  • Computer Vision (YOLO, Object Detection, Image Processing)
  • NLP (Text Classification, Attention Models)
  • Financial & Time-Series Modeling (VaR, Risk Estimation)
  • Simulation (Molecular Dynamics, LAMMPS, MATLAB Analysis)
  • Database & Querying (MySQL, SQLite, MongoDB)
    Tools & Platforms: Git, Jupyter, VS Code, Kaggle, Flask, Docker, Google Colab

🏆 Publication

📄 Cardiovascular Disease Prediction using Machine Learning
Published in International Journal of Scientific Research in Engineering and Management (IJSREM)
🔗 View Publication

💼 Experience

AI & Deep Learning Intern (14 months)
Developed end-to-end AI systems integrating computer vision, NLP, and predictive analytics.
• Focused on optimizing CNNs and transformer models for efficiency and scalability.
• Deployed ML pipelines and managed experimentation workflows using Python & PyTorch.

Graduate Research & Project Work – Data Science, AI & Deep Learning @ University at Buffalo
Worked on applied ML projects spanning computer vision, NLP, and data analytics — from real-time detection to deep sequence learning and simulation modeling.

🎓 Education

M.S. in Engineering Science (Data Science)
University at Buffalo, The State University of New York
📅 Jan 2024 – Aug 2025

B.Tech in Indian Institute of Technology Bhubaneswar (IIT Bhubaneswar)
📅 2019 – 2023

🌐 Connect with Me

💼 LinkedIn – Rishi Shanthan Bhagavatham
💻 Kaggle – Rishi_Shanthan
📫 Email: [email protected]
📍 Buffalo, New York, USA

⭐ "Building models that see, think, and act intelligently."

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  1. traffic-object-detection-yolov3 traffic-object-detection-yolov3 Public

    Real-time traffic object detection system using YOLOv3 and OpenCV’s DNN module. Detects vehicles, pedestrians, and road objects in live or recorded video streams, with FPS overlay and scene IoU ana…

    Python

  2. blackberry-lime-visual-classifier blackberry-lime-visual-classifier Public

    Two-stage deep learning system to classify fruit type (blackberry vs lime) and its presentation style using fine-tuned ResNet-18.

    Jupyter Notebook

  3. covid-mlp covid-mlp Public

    COVID-19 mortality prediction using a shallow neural network on CDC data

    Python

  4. lstm-stock-forecasting-with-var lstm-stock-forecasting-with-var Public

    Next-day stock price forecasting with a lightweight LSTM plus Value-at-Risk (VaR) risk calibration — end-to-end PyTorch pipeline with reproducible results.

    Jupyter Notebook

  5. nanoglass-md-preprocessor nanoglass-md-preprocessor Public

    MATLAB pre-processor for constructing nanoglass structures from metallic-glass snapshots for molecular-dynamics simulations. Generates multi-grain Cu–Zr nanoglass datafiles for LAMMPS and OVITO ana…

    MATLAB

  6. transformer-from-scratch-seq transformer-from-scratch-seq Public

    From-scratch Transformer in PyTorch — embeddings, positional encoding, multi-head attention, encoder/decoder stacks, and a clean training pipeline for sequence tasks.

    Jupyter Notebook