🎯  About Me

Third-year B.Tech Computer Science student at VIT-AP University (2023–2027), based in Calicut, India — CGPA 8.45. I build systems end-to-end, from embedded sensors and model training pipelines to production-ready backends and dashboards.

Currently seeking ML/AI and Software Development Engineer internship opportunities. 🚀

 💼  Experience

Role	Organization	Duration
🤖 Machine Learning Intern	CompileIT	Mar 2025 – Jun 2025
📊 Data Science Intern	Zidio Development	Jun 2025 – Aug 2025
🌱 Open Source Contributor	GSSOC	May 2025 – Present

• CompileIT — ML workflows spanning data preprocessing, model integration, and backend API support; optimized pipelines for better application performance.
• Zidio Development — Financial time-series forecasting using ARIMA, SARIMA, Prophet, LSTM & GARCH; built an interactive analytics dashboard.
• GSSOC — Bug fixes, UI improvements, and reusable components across open-source repositories.

 🧰  Tech Stack

 🚀  Featured Projects

🌊 TrueFlood Flood Risk Analytics & Alert System Multi-source monitoring combining sensor telemetry, weather data, and Random Forest for two-day-ahead flood-risk assessment — benchmarked against persistence and threshold baselines.	🎹 Lyra Audio-to-MIDI Converter CNN-BiLSTM-Attention architecture over CQT spectrograms, achieving 94% precision on the OMAPS dataset. View Repository →
🛡️ FedSentry Federated Intrusion Detection (Capstone) Adversarially-robust, privacy-preserving network intrusion detection using FedProx federated learning, differential privacy, and Byzantine-robust aggregation.	📚 StudyMind AI RAG-Based Study Assistant PDF study companion with four modes — Chat, Quiz, Summary, ELI5 — built on a retrieval-augmented generation pipeline.
⚙️ RULForge Predictive Maintenance Analytics Estimates remaining useful life from industrial sensor data, with SHAP and attention-based interpretability to surface critical degradation windows.	📈 Financial Analytics Dashboard Time-Series Forecasting Suite Interactive dashboard combining statistical and ML models (Prophet, ARIMA, SARIMA, LSTM, GARCH) for trend, seasonality, and volatility analysis with anomaly detection.

 📊  GitHub Statistics

 🏆  LeetCode Statistics

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 🎓  Certifications

 📬  Let's Connect

Open to internship opportunities, collaborations, and interesting conversations about ML systems.