Full-Stack & AI Developer | DevOps Enthusiast
📍 India · 🎓 UG | Information Technology
Building intelligent applications that bridge modern web development, generative AI, and scalable cloud infrastructure.
I specialize in designing end-to-end solutions that leverage large-language models, real-time data processing, and cloud-native architectures. Currently exploring advanced RAG implementations, vector databases, and containerized deployments.
Frontend & Fullstack:
Backend & Databases:
Cloud & DevOps:
Monitoring:
AI/ML Stack: Python · OpenAI/Gemini APIs · Pinecone · RAG Pipelines
Development Tools: Git · GitHub · Prisma/Drizzle ORM · Zod · Postman
A production-ready application enabling natural language interaction with PDF documents.
Tech Stack: Next.js TypeScript Gemini AI Pinecone AWS S3 Drizzle ORM Neon Clerk Auth
Key Features: Intelligent document parsing, persistent chat memory, secure file storage, and responsive UI.
End-to-end system for automated job discovery and analysis from LinkedIn.
Tech Stack: Chrome Extension Node.js/Express MongoDB OpenAI/Gemini React Vite AWS EC2 Nginx
Architecture: Extension-based scraping → AI-powered summarization → Dashboard visualization.
Full-stack blogging solution emphasizing type safety, security, and scalability.
Tech Stack: React Cloudflare Workers PostgreSQL Prisma ORM JWT
Design Principles: Serverless architecture, edge computing, and developer experience focus.
| Coding Activity | Language Distribution |
|---|---|
| Milestone | Description | Context |
|---|---|---|
| Government SSIP Grant | Led 3/4-member team to develop Prototype for Image forgery detection | Innovation grant for practical solution |
| HackBangalore Finalist | Selected among top teams in AngleHacks Global Hackathon | Competitive hackathon recognition |
| Academic Excellence | Ranked 9th in departmental mock placement round at SVIT IT | Institute-level technical assessment |
Deepening expertise in:
- RAG implementations and multi-modal AI workflows
- Vector database optimization and semantic search patterns
- Cloud-native design patterns and infrastructure-as-code
- System design principles for scalable AI applications
I welcome discussions on AI engineering, full-stack development, and cloud infrastructure.
Open to collaborative projects, technical discussions, and innovative opportunities at the intersection of AI and software engineering.