I'm a Computer Science & Engineering student who enjoys turning ideas into real-world software.

My interests sit at the intersection of:

• Artificial Intelligence
• Full Stack Engineering
• Cloud & DevOps
• Data & Machine Learning
• Open Source

I like building systems that combine good engineering with useful ideas.

Currently focused on:

• AI-powered applications
• Full-stack platforms
• Machine learning experiments
• Cloud-native systems
• Open-source projects

AI & ML

Intelligent applications, machine learning systems and data-driven solutions.

Full Stack

Modern web platforms, APIs, dashboards and real-time applications.

Cloud

Deployment, infrastructure, containers and modern development workflows.

Open Source

Contributing, experimenting, collaborating and building for the community.

Full-Stack GenAI Data Analysis & Business Intelligence Platform

Automated data analytics workspace running natural-language text-to-SQL querying via Groq LLaMA, in-memory DuckDB computations and dynamic Plotly charts.

• Highlights: Natural-language SQL generator, in-memory data processing, instant CSV analysis.
• Tech Stack:
  

Interactive Personal Developer Portfolio

Cutting-edge developer portfolio showcasing academic research, project demos, interactive hacker terminal emulator, 430+ verified certificates and dual-accent dark/light themes.

• Highlights: Three.js 3D canvas, interactive terminal emulator, responsive glassmorphism.
• Tech Stack:
  

India's Premier Logistics & Cargo Transfer Booking Platform

Full-stack transport booking platform featuring instant vehicle estimates, fare calculations, automated PDF invoices and serverless notifications.

• Highlights: Dynamic distance fare estimation, jsPDF invoice generation, serverless email alerts.
• Tech Stack:
  

Autonomous Multi-Modal AI & Geospatial Civic Triage Engine

Autonomous civic issue reporting engine with computer vision hazard detection (YOLO), zero-shot NLP triage and 2dsphere spatial mapping.

• Highlights: YOLOv8 vision pipeline, automated severity scoring, geospatial proximity clustering.
• Tech Stack:
  

Intelligent Academic Operational Layer for Higher Education

Academic intelligence platform tailored for universities featuring multi-key dual Groq + Gemini Vision routers, RAG search and student dashboards.

• Highlights: High-throughput multi-key LLM failover, multimodal paper parsing, syllabus RAG search.
• Tech Stack:
  

Production-Quality AI Agricultural Intelligence Platform

Comprehensive agricultural platform integrating XGBoost crop recommendations, CNN leaf disease detection, FAISS scheme RAG and voice advisory in 11 languages.

• Highlights: Multi-model ensemble diagnosis, multilingual voice agent, vector search over government schemes.
• Tech Stack:
  

For Agri-Horticultural Commodities (Springer Nature)

Empirical agricultural economics research modeling multi-seasonal commodity prices via Random Forest and SVR ensembles across harvest seasons.

• Highlights: Multi-season price forecasting, regression ensembles, published under Springer Nature.
• Tech Stack: