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π§βπ» B.Tech - AI DS @ Sri Eshwar College of Engineering (CGPA: 8.5+)
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π€ Passionate about AI, ML, and building scalable, intelligent apps.
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π οΈ Experienced with Python, C/C++, JavaScript, and full-stack web.
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π¬ Exploring the frontiers of AI-human collaboration for creative discovery.
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π§ Always learning, always building!
- Frontend: React, Next.js, Figma
- Backend: Node.js, Flask, FastAPI, Streamlit
- Databases: MongoDB, Firebase, Supabase
- ML/DL: scikit-learn, TensorFlow, Keras, NumPy, Pandas, Matplotlib
- Tools: Git, VS Code, Vercel, Netlify, Kaggle
- TrackIt - Expiry Tracking Predictive Analysis:
Full-stack web app (Next.js + MongoDB) with OpenCV & Tesseract OCR for expiry detection, modular APIs. - Parkinsonβs Disease ML Detection:
Compared SVM, RF, KNN, Logistic Regression using biomedical voice features; cross-validation, metric optimization, and visualization. - Riemann Hypothesis via AI Collaboration:
Experimental neural nets + human reasoning on unsolved math β blending patterns in zeta zero distributions for new insight.
Skillrack: 1000+ problems solved Β
π 2nd Place Zeroday Hackathon, Freshathon winner, School First HSC
π’ Active in technical clubs and outreach
- β Fueled by coffee and curiosity
- π On a mission to blend intelligence with imagination
- π₯ Enjoys hackathons, competitive programming, and deep dives into ML
- π§© "Code, experiment, learn, repeat."