- B.Tech CSE @ NIIT University (CGPA: 9.24)
- Built an ML model for Air Quality Prediction (AOD + Sensor Data)
- Co-authored a published book chapter (Cogniverse Press)
- Interested in ML evaluation, LLM bias & probabilistic modeling
- Exploring Deep Learning (CNNs/RNNs) with Keras
🔹 AeroSphinx (ISRO Hackathon 2025)
→ Built a Random Forest model for PM2.5 prediction using satellite + ground data
→ Applied temporal-spatial feature engineering + Power BI visualization
🔹 Sentiment Analysis Dashboard (SIH 2025)
→ NLP system using DistilBERT + FastAPI + Docker + Redis
→ Supports summarization, analytics, and export features
🔹 DocuMentor – AI Document Assistant
→ Chat-based document understanding with privacy scanning & smart insights
→ Built using React + Vite with performance-focused architecture
🔹 Industry Project – Vasus Brakes
→ Built data pipelines & Power BI dashboards
→ Delivered actionable insights using statistical analysis
- Improving ML model performance & evaluation techniques
- Exploring LLM behavior, bias & interpretability
- Building scalable ML systems with FastAPI
- Developing real-world data-driven applications
- Published Book Chapter in Foundations and Emerging Trends in Multidisciplinary Sciences
- Participant – ISRO Hackathon 2025
- SIH 2025 – College Level Qualified
⭐ "Turning data into decisions, and models into impact."