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Suryaansh Rai

@suryaanshrai

Backend Engineer 2 at wobot.ai who built a scene-analysis system recommending best-fit agents from a suite of 120+ video AI agents.

India

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At wobot.ai, I built a system that analyzes camera scenes and recommends best-fit agents from a suite of 120+ video AI agents. It also powers scene-type analytics and surfaces use cases the suite doesn't yet cover.

I built an agentic chatbot for a drag-and-drop video-analytics pipeline builder, backed by an automated test suite for incident response and bug fixes. It lets customer success teams configure pipelines directly.

At wobot.ai, I created an API that runs about 5,000 configuration validations concurrently in under a second. I also decoupled Docker dependency layers, cutting CI/CD build times by 73% and image sizes by about 1.2GB.

My open-source projects include Scibot, a provider-agnostic multi-agent RAG tool for scientific research, and Omnipost, a microservices social media orchestrator. I work with Python backend systems, agentic AI, and tools including Django DRF, FastAPI, PostgreSQL, MongoDB, and Redis.

Experience

Work history, roles, and key accomplishments

Current

Backend Engineer 2

Current

Wobot.ai

Jul 2026 - Present (3 months)

Built a scene-analysis system recommending best-fit agents from a suite of 120+ video AI agents. Developed an agentic chatbot for a pipeline builder and a benchmarking tool with a custom Go CLI.

Python Django fastAPI PostgreSQL MongoDB Redis Docker Go CI CD Agentic AI MCP REST APIs

Backend Engineer 1

Wobot.ai

Jul 2025 - Jul 2026 (1 year)

Created an API that concurrently validates ~5,000 configurations in under 1 second. Decoupled Docker layers to cut CI/CD build times by 73% and image size by ~1.2GB, and built an n8n workflow for log aggregation and incident automation.

Python Django fastAPI Docker CI CD N8n PostgreSQL MongoDB Redis REST APIs

Backend Intern

Wobot.ai

Feb 2025 - Jun 2025 (4 months)

Architected a centralized internal documentation platform with automated Markdown conversion and embedded diagrams. Developed a RAG-based assistant for internal technical documentation to reduce developer support overhead.

Python Fumadocs RAG Markdown Documentation LLM

Backend Intern

Datachannel.co

Jun 2024 - Jan 2025 (7 months)

Developed a recursive website crawler using sitemaps and depth filters for RAG data ingestion. Refactored SQL seeding scripts and integrated automated test case generation for schema validation.

Python SQL RAG Web Crawling Testing CLI

Education

Degrees, certifications, and relevant coursework

LeetCode / GeeksforGeeks / Coding Ninjas

Self-paced Practice, Data Structures and Algorithms

Ongoing practice of over 750 data structures and algorithms problems across multiple platforms.

Coursera

Professional Certificate, RAG & Agentic AI

2025 - 2025

Completed a professional certificate specialization in RAG and Agentic AI, covering LangChain, LlamaIndex, CrewAI, and ReAct/Reflexion.

Shri Mata Vaishno Devi University

B.Tech, Computer Science and Engineering

2021 - 2025

Activities and societies: Coordinator, CodeClub SMVDU: led 19 peer programming workshops and organized university HackerRank contests (70+ registrants). Technical developer, GDSC DSA/CP team.

Pursued a Bachelor of Technology in Computer Science and Engineering, leading the CodeClub and contributing to the GDSC DSA/CP team.