🎓 M.Tech. in Data Science & Artificial Intelligence @ IIT Madras (2026–2028)
🎓 B.Tech in Electrical Engineering @ SVNIT Surat (2022–2026)
💡 Passionate about AI Research, Natural Language Processing (NLP), and Intelligent Systems
🌏 Building real-world AI solutions across agriculture, multilingual NLP, and production AI systems.
- 🔬 Conducted AI research at AI4Bharat (IIT Madras), contributing to IndicTrans multilingual language models.
- ⚙️ Developed Verifiable AI Systems at Alloan using Rust and Haskell.
- 🌱 Interested in Deep Learning, Large Language Models (LLMs), and Production AI.
- 🎯 Aspiring to become a world-class Machine Learning Engineer and AI Researcher.
- Working on IndicTrans multilingual translation models
- Handling low-resource language datasets & evaluation
- Improving machine translation for Indian languages
- Developing Verifiable AI Systems
- Working with Rust & Haskell for reliable AI pipelines
- Building proof-based intelligent systems
- Built crop growth simulation (PCSE/WOFOST)
- Developed plant disease detection (90% accuracy)
- Created livestock disease predictor (dual-model system)
- Automated mango grading using CNNs
- Achieved best results with ResNet18
- Voice AI pipeline: Whisper → FAISS → Cohere → gTTS
- Built RAG-based chatbot with semantic search
- Integrated Supabase for real-time logging
- Evaluated using BLEU, BERTScore, COMET
- Applied LoRA fine-tuning on 1B model
- Worked on code-mixed Hindi-English datasets
- 🥇 Consensus Hong Kong 2026 Hackathon
- 🏅 Top 10 / 3900+ teams – IIT Madras Hackathon
- 🏆 4th Place – Annam.AI Hackathon (MoE)
- 📊 GATE DA AIR 729 (Top among 60K+)
- 🧠 Andrew Ng ML Course – 100% Score
Python C++ C SQL MATLAB
TensorFlow PyTorch Keras Scikit-Learn
CNN RNN NLP LLMs Computer Vision
Git Firebase GCP Streamlit Flask
Android Studio Jupyter FAISS
💡 I don’t just train models… I debug their attitude too 😄