Software Engineer with 4 years of experience building production-grade, scalable AI systems using Python and React. Specialized in agentic pipeline design and retrieval-augmented generation (RAG) — including LLM orchestration, vector search, embedding strategies, and multi-agent architectures. Strong in clean system design and end-to-end ownership, from chunking and indexing strategies through to evaluation, latency optimization, and reliable deployment. Communicates clearly across teams, ships iteratively, and actively publishes open-source AI tooling on GitHub.
- Designing and building REST APIs and backend services in Python
- Developing cloud-native applications using AWS and Azure
- Working on scalable system design, reliability, and performance
- Building frontend interfaces using React when needed
- Writing production-ready code with a focus on clarity and correctness
- Building and deploying RAG pipelines for AI-powered search and retrieval applications
Languages
Python, JavaScript
Backend & APIs
FastAPI, Django, Node.js
Frontend
React, Redux, Ant Design
Databases
PostgreSQL, MongoDB
Cloud & DevOps
AWS, Azure, Docker, Nginx
Tools & Libraries
Git, GitHub Actions, Pandas, NumPy, Selenium
- Backend Engineering
- Distributed Systems
- Cloud Architecture
- System Design & Scalability
- Developer Tooling
- Backend / Platform Engineering roles
- Cloud-focused software engineering roles
- Open source collaboration in backend and infrastructure projects
- LinkedIn Profile
- X (Twitter)
- Contact Number : 6376691348
- Email : sanidhyavijay18@gmail.com
- Resume
I enjoy breaking down complex systems and rebuilding them in simpler, more scalable ways.