3rd Year B.Tech CSE · Rajasthan Technical University · CGPA 8.75/10
Building at the intersection of Machine Learning and Software Engineering
Random Forest classifier for breast cancer detection using clinical diagnostic data. Achieved 96% accuracy, 98% recall, and 95% F1-score. Built with full EDA pipeline, class imbalance handling, and SHAP explainability for model transparency.
Python Random Forest Scikit-learn SHAP Pandas Seaborn Kaggle
Interactive safety map for Jaipur built with React and Leaflet over OpenStreetMap data. Risk-scores ~24,000 road segments using vectorized STRtree spatial indexing. Features incident reporting, crowd-sourced data layers, and filterable risk overlays.
React Leaflet OpenStreetMap Python STRtree GeoJSON
Simulated a full Man-in-the-Middle attack across 2 devices on a LAN — attacker impersonates both sender and receiver to intercept live network traffic. Demonstrated AES encryption as a real-time defense, proving secure communication can neutralize interception. Built entirely in Java.
Java Java Crypto Libraries AES Encryption Networking Cybersecurity
Deep learning model classifying 4 eye conditions (Cataract, Glaucoma, Diabetic Retinopathy, Normal) from retinal images at 92% accuracy using ResNet18 fine-tuned with PyTorch and Fastai. Optimized Gradio inference pipeline reduced prediction latency from several minutes to under 2 seconds.
ResNet18 PyTorch Fastai Gradio Python Deep Learning Kaggle
Real-time SOS and location tracking app with a personalized safety chatbot "Sakhi" and community safety modules. Achieved 80% faster emergency response simulation. Powered by a Random Forest Regressor trained on city street safety data (crime history, population density, night safety indicators) at 91% accuracy, served via FastAPI.
Flutter Dart FastAPI Random Forest REST APIs Figma
Languages · Java · Python · C/C++ · JavaScript · SQL · HTML/CSS · PHP
ML / Data · PyTorch · TensorFlow · Scikit-learn · Fastai · OpenCV · Keras · Pandas · NumPy
Web & Backend · FastAPI · Flutter · REST APIs · JDBC · Swing
Databases · MySQL · MongoDB · Firebase · Supabase
Tools · Git · GitHub · Figma · Gradio
Research Intern (Open Source) · VLED Lab, IIT Ropar (May 2026 – Present)
Contributing to a live open-source repository on India-centric problems — real commits, publicly accessible work.
Machine Learning Instructor · Self-Employed, Remote (Aug 2025 – Sep 2025)
Launched an ML video series on LinkedIn covering algorithms, model building, and real-world applications — 700+ organic views on debut video.
Software Developer Intern · Pinnacle Labs, Bangalore (Jun – Jul 2025)
Built Java-based applications including a Library Management System (CRUD + DB integration) and the MITM Attack & Defense Simulator using Java Crypto Libraries.
Founder · Tech10.in, Jaipur (Sep 2023 – May 2025)
Led cross-functional teams in multiple technical events and hackathons — achieved 91% improvement in operational productivity.
- 2nd Place — Smart India Hackathon, College Level 2024
- 3rd Place — Innovastra National Level Hackathon 2025
- Qualifier — Call2Code Hackathon, Manipal University 2025
- Participant — SHANKARA Global Hackathon
- Top 35% Globally on LeetCode · Ranked 9,600 / 36,000+ in Weekly Contest 468 · 140+ problems solved
