AI & Machine Learning
Supervised & Unsupervised Learning, Deep Learning, NLP, Generative AI, RAG pipelines, Computer Vision, Anomaly Detection
Open to AI/ML roles & internships
Hi, I'm Gangotri Kompalwar.
Final-year B.Tech student specialising in AI/ML — I design and ship end-to-end machine learning pipelines, generative AI applications, and computer vision systems that solve real problems.
About me
I'm a final-year B.Tech student in Electronics & Telecommunication Engineering at MIT Academy of Engineering, Pune. With a background in Computer Engineering and hands-on experience across three internships, I build AI systems that go beyond notebooks — complete with APIs, interfaces, and reproducible results.
My focus is on Generative AI, RAG pipelines, computer vision, and applied ML for healthcare, fintech, and sustainability domains. I thrive at the intersection of research and engineering — turning ideas into deployable, documented solutions.
Technical toolkit
A production-oriented toolkit spanning model development, deployment, and end-to-end AI system design.
Supervised & Unsupervised Learning, Deep Learning, NLP, Generative AI, RAG pipelines, Computer Vision, Anomaly Detection
Python (primary), SQL, C++, Java — with solid foundations in Data Structures, Algorithms, and Object-Oriented design
Scikit-learn, TensorFlow, PyTorch, LangChain, LangGraph, FastAPI, Streamlit, Flutter, Flask, OpenCV, Ultralytics YOLOv8
Git, GitHub, Jupyter, Google Colab, SQLite, FAISS, Tesseract OCR, Hugging Face, Pandas, NumPy, Matplotlib
Selected work
Generative AI · RAG · Education
Offline-first multilingual education assistant for rural, low-connectivity environments. Built with RAG, TinyLLaMA, LangChain, FAISS vector search, multilingual voice & text I/O, OCR, and adaptive quizzes — presented at the IETE National-Level Competition 2026.
View project ↗Machine Learning · Healthcare
End-to-end CKD risk prediction system using Random Forest with SMOTE for class imbalance — served via Flask API, visualised in Streamlit, and deployed as a Flutter mobile app with SQLite history.
View project ↗Computer Vision · Fintech · Security
AI-powered identity verification prototype combining YOLOv8 face detection, Tesseract OCR for document parsing, deepfake classification, and transaction anomaly detection — all served over a FastAPI backend.
View project ↗Machine Learning · Sustainability
Smart-building energy forecasting system using Support Vector Regression on hourly datasets with weather features. Interactive Streamlit dashboard identifies waste reduction opportunities with real-time predictions.
View project ↗Machine Learning · Recommendation · Tourism
Full-stack AI booking platform with a Naive Bayes package recommender, dynamic pricing engine, SQLite persistence, evaluation metrics dashboard, and automated unit tests — deployed as a live web application.
View project ↗Experience
Three internships spanning AI/ML engineering, Python development, and full-stack web development.
Jun – Aug 2025
Developed end-to-end ML workflows in Python — covering data preprocessing, feature engineering, model training, hyperparameter tuning, and performance evaluation with visual reporting.
Apr – May 2025
Deepened Python expertise through OOP design patterns, file I/O, exception handling, automation scripting, and data analysis tasks — building a strong foundation for production-grade AI code.
Jun – Jul 2023
Built and deployed a responsive nature-tourism website with HTML, CSS, and JavaScript — including backend form processing, client-side validation, and persistent local data management.
Education
2023 – 2027
2022 – 2024
N.E.S. Science College Shri Nagar, Nanded
MSBSHSE · 94.17%Pratibha Niketan High School, Nanded
MSBSHSE · 93.80%Credentials
Let's connect
I'm actively looking for entry-level AI/ML engineer roles, research internships, and collaborative projects. If you're working on something meaningful with data or intelligence — let's talk.