Abhinav Vashishtha
@abhinavvashishtha1
AI-focused full-stack engineer building agentic systems and production web apps with real-time pipelines.
What I'm looking for
I’m an AI-focused full-stack engineer specializing in agentic systems and production-grade web applications. I build agentic workflows and production services using LangGraph, MCP, and RAG, alongside React/Next.js, Node.js, and AWS.
I’m strongest when turning complex, multi-step ideas into end-to-end pipelines—from multi-agent LLM orchestration to deployment. I also bring a solid foundation in scalable backend architecture and real-time systems, including streaming APIs and WebSocket/WebRTC-style communication patterns.
In my projects, I designed an Autonomous Multi-Agent Research Orchestrator that supports multi-user concurrent workflows with a stateless session model. I also built a high-throughput API layer with real-time SSE streaming and structured error handling. For FanQuest, I implemented an autonomous sequential tool-calling pipeline (event discovery to itinerary generation), integrated Duffel for live flight search and Stripe for checkout, and added secure authentication with Passport.js, OAuth, and JWT.
I’ve also developed a Telemedicine Platform with a scalable microservices architecture and WebRTC peer-to-peer video streaming (STUN/TURN). I support reliable delivery through CI/CD automation and hands-on QA experience, and I lead with measurable impact through student initiatives and university events.
Experience
Work history, roles, and key accomplishments
Freelance QA Tester
Testio
Jan 2024 - Jan 2025 (1 year)
Executed 15+ structured test cases for production-grade mobile applications across multiple client projects. Documented and filed 10+ software defects with detailed reproduction steps, screenshots, and screen recordings while maintaining NDA confidentiality under time-constrained cycles.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Bachelor of Technology, Computer Science Engineering
2022 -
Grade: 8.49/10 (CGPA)
Pursuing a B.Tech. in Computer Science Engineering at Vellore Institute of Technology (CGPA: 8.49/10).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/g0dofbotJob categories
Skills
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