Software developer focused on backend systems, full-stack products, and applied AI workflows.
I like building practical software at the intersection of engineering and AI:
- Full-stack applications with production-style backend architecture
- AI-assisted systems using LLMs and agentic workflows
- Data-driven dashboards and analytics tools
- Mobile + web experiences backed by robust APIs
The best way to know my work is through the code.
| Repository | What it does | Main Tech |
|---|---|---|
| Omnichannel-Anti-Fraud-Agent | Multimodal fraud detection agent with dual-layer verification (Gemini + MCP) and structured threat scoring. | Python, Gemini 2.5, MCP, MongoDB, Elasticsearch, Streamlit |
| mandi-intelligence-app | Agricultural market intelligence platform with multi-level filtering and interactive price analytics. | FastAPI, Flutter, Riverpod, SQLAlchemy, PostgreSQL |
| record_latex_generator | Full-stack AI app that converts source material into structured lab-record LaTeX with editable output/export. | Next.js, FastAPI, Python, TypeScript, Gemini API |
| KTU-grade-analysis | Academic analytics system that parses grade sheets and supports natural-language querying over student data. | React, FastAPI, TypeScript, Firebase, Gemini API |
Languages
Backend / APIs
Frontend / Mobile
AI / ML
Databases / Cloud
- GATE CS 2026: AIR 4391
- LeetCode: 250+ problems solved
- GeeksforGeeks: Top 30 in university rankings
- Building an agricultural market analytics platform during my internship at SATCARD, IIT Palakkad
- Improving agentic AI workflows that combine LLM reasoning with deterministic verification
- Shipping better full-stack products with clean API design and robust backend architecture
- Strengthening problem-solving through regular DSA practice
- Portfolio: https://navaneeth832.github.io/portfolio
- LinkedIn: https://www.linkedin.com/in/navaneeth-krishna-g-904477334
- Email: mittunavan@gmail.com