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- 🎓 B.Tech CSE @ NIIT University (CGPA: 9.01)
- 🤖 Built ML model for Air Quality Prediction (AOD + Sensor Data)
- 📖 Co-authored published book chapter (Cogniverse Press)
- 🧠 Interested in ML Evaluation, LLM Bias & Probabilistic Modeling
- 🔍 Exploring Deep Learning (CNNs/RNNs) with Keras
- Built Random Forest model for PM2.5 prediction
- Used satellite + ground data fusion
- Applied spatio-temporal feature engineering
- Visualised insights using Power BI
- Built NLP system using DistilBERT + FastAPI
- Integrated Docker + Redis pipeline
- Features: summarisation, analytics, export
- 🔐 100% offline + privacy-first (WebGPU + WASM)
- ⚡ GPU-accelerated local inference
- 📄 Smart Highlights, Student Mode, Research Mode
- ⚙️ Kafka-based event-driven architecture
- 🤖 LLM-powered log analysis
- 🔧 Auto PR generation for fixes
- 🚀 90% reduction in debugging time
- Built data pipelines + Power BI dashboards
- Delivered actionable business insights
- Improving ML model evaluation & performance
- Exploring LLM bias & interpretability
- Building scalable ML systems (FastAPI)
- Developing real-world AI applications
📖 Relative Ageing Comparisons of Two Coherent Systems under Dependent Identically Distributed Components and System Signatures
📘 Published in Foundations and Emerging Trends in Multidisciplinary Sciences
🏢 Cogniverse Press | 📅 2025
🔗 DOI: https://doi.org/10.5281/zenodo.19692035
📚 ISBN (Print): 978-93-47652-64-6
💻 e-ISBN (Digital): 978-93-47652-06-6
- Research focused on reliability theory, coherent systems, and stochastic comparisons
- Studied relative ageing behaviour under dependent identically distributed components
- Applied probabilistic modelling concepts in engineering system analysis
👨💻 Co-authored Book Chapter
- 📖 Published Book Chapter
- 🚀 ISRO Hackathon 2025 Participant
- 🧠 SIH 2025 – College Level Qualified
⭐ "Turning data into decisions, and models into impact."
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