AI Engineer & Full Stack Developer building production systems at the intersection of machine learning and modern web.
AI Engineering & Data Science Undergrad at Chaitanya Bharathi Institute of Technology (CBIT), specializing in production ML systems and modern web architectures.
I build systems that solve real problems — from multi-tenant SaaS platforms to predictive maintenance analytics. My approach combines strong technical execution with product thinking, always asking "Who will actually use this?" before writing code.
Current Focus:
Generative AI • Agentic AI Systems • Full Stack Development
Core Competencies:
- AI/ML: Machine Learning, Deep Learning, NLP, Predictive Analytics
- Backend: FastAPI, Node.js, Express, REST APIs
- Frontend: Next.js, React, TypeScript, Tailwind CSS
- Data: PostgreSQL, MongoDB, Google Firestore DB
- Cloud & Deployment: Vercel, Supabase, AWS
Production SaaS enabling residential communities to manage shared amenities with conflict-free scheduling.
Built a complete multi-tenant architecture with role-based access control, enabling admins to manage communities while residents book amenities seamlessly.
Stack: Next.js • TypeScript • Google Firestore • Tailwind CSS
Status: ✅ Production-deployed • Handling real user bookings
Context-rich documentation platform solving knowledge loss in fast-moving engineering teams.
Combines structured journaling with AI-powered search, enabling engineers to document decisions, retrieve context instantly, and maintain institutional knowledge across projects.
Stack: Next.js • Supabase • Gemini API • Tailwind CSS • Markdown
Impact: Reduces onboarding time and context-switching friction
Drag-and-drop workflow builder with AI-powered nodes and infinite canvas interface.
No-code accessibility meets developer-grade flexibility. Build complex automations visually with real-time execution and AI-enhanced logic blocks.
Stack: Next.js • React Flow • Framer Motion • Tailwind CSS
Innovation: Bridges technical and non-technical users
ML platform for industrial equipment monitoring with real-time anomaly detection.
Reduces downtime through proactive monitoring. Analyzes sensor data patterns to predict equipment failures before they occur, enabling data-driven maintenance scheduling.
Stack: Python • scikit-learn • Streamlit • Plotly
Business Value: Minimizes operational disruption through predictive alerts
Production FastAPI service delivering agricultural insights using ensemble ML.
Stacking ensemble model (LightGBM + XGBoost + CatBoost) deployed as a REST API for regional crop yield forecasting, supporting data-driven agricultural planning.
Stack: FastAPI • scikit-learn • XGBoost • LightGBM • CatBoost • Pandas
Real-World Impact: Serving farming communities in Odisha with predictive insights
- Building AI-powered applications with Generative AI and Agentic AI frameworks
- Deepening expertise in full stack architecture with Next.js and TypeScript
- Open to collaboration on AI/ML projects and production web applications
- Available to discuss Machine Learning, React, Next.js, FastAPI, or product development
