B.Tech Artificial Intelligence & Data Science |
🔹 Passionate about AI, ML, and Deep Learning applications in real-world problems.
🔹 Experienced in stock market prediction, medical data analytics, CNNs, and NLP.
🔹 Enthusiastic about learning and contributing to the open-source community.
Languages 
AI & Machine Learning 
Data Science & Analytics 
Cloud & DevOps 
🏎️ F1 Neural Strategist: Transformer-Based Race Prediction Role: Architect & Lead Developer
- Built a Sequence-to-One Transformer from scratch (PyTorch) to forecast F1 race positions with 95.47% Podium Accuracy.
- Implemented Optuna for automated hyperparameter optimization, achieving a Mean Absolute Error (MAE) of 0.9068.
- Engineered a pipeline processing 16 telemetry features (Throttle, Brake, DRS, Tyre Life) using 10-lap sliding windows.
- Developed a Live Race Simulation script to predict rank changes lap-by-lap in real-time.
🎨 Picasso: Your Inner Echoes Role: AI Researcher & Developer
- Emotion-to-Art Generator using multimodal emotion detection (text, voice, face).
- Integrated SBERT-based classifier with Stable Diffusion and Gemini 1.5 Pro for dynamic art synthesis.
- Utilized NRC-VAD Lexicon for deep emotional mapping.
- Developed a CNN/LSTM-based system for lip reading and sign language recognition.
- Trained on Corpus-1000 and ASL datasets, achieving >90% accuracy on validation splits.
📈 Stock Market Prediction (ARIMA & XGBoost) - Time-series forecasting for major stocks using statistical (ARIMA) vs. ML (XGBoost) approaches.
- Comparative analysis of volatility and trend prediction accuracy across varying market conditions.
- End-to-end medical data analytics pipeline for improving hospital operational efficiency.
📝 Paper Reading Club - Breaking down ML papers with practical implementation.