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Ritik Raj

@ritikraj2

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Backend and AI-focused CS undergraduate building microservices and LLM-powered, RAG-driven applications.

India

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What I'm looking for

I’m seeking Backend / AI Engineer roles where I can build microservices and LLM-powered systems (RAG, vector search, guardrails), work with real deployment pipelines, and ship reliable, scalable products.

I’m a Backend and AI-focused Computer Science undergraduate who builds real-world, deployable systems—especially microservices and LLM-powered applications. I enjoy turning complex AI workflows into reliable products with strong retrieval, authentication, and practical performance.

In DocuMind, I engineered an end-to-end Agentic RAG pipeline with LangGraph and LangChain, processing multi-PDF uploads into 1000-token chunks (200-token overlap) and storing vector embeddings in AstraDB for semantic retrieval. I implemented top-4 chunk retrieval with Gemini models to generate source-cited, document-grounded answers, plus input/output guardrails to block hallucinations and harmful queries.

Across my other projects, I built backend-first architectures with FastAPI and Spring Boot, including JWT auth, OTP-based password reset, per-user persistent chat history, event-driven processing with Kafka, and OAuth 2.0 integration using Keycloak. I’ve also delivered an AI mock interview platform with Gemini-based real-time feedback, recording via MediaRecorder, and deployment-ready frontend/backend integration.

Experience

Work history, roles, and key accomplishments

Agentic RAG Engineer

DocuMind AI

Mar 2026 - Apr 2026 (1 month)

Engineered an end-to-end agentic RAG pipeline (LangGraph/LangChain) for multi-PDF uploads by chunking into 1000 tokens with 200 overlap, achieving 2–3 second semantic retrieval responses. Added source-cited, guardrailed answers and implemented JWT auth with SendGrid OTP password resets and per-user persistent chat history across AstraDB collections.

LangGraph Lang Chain Retrieval Augmented Generation (RAG)fastAPI Gemini API JWT OAuth 2.0 Sendgrid GuardRails

Microservices Backend Developer

Fitness Microservices Platform

Jan 2026 - Mar 2026 (2 months)

Designed and implemented a microservices architecture with 5 independently deployable services using Spring Boot/Spring Cloud. Built event-driven integration with Apache Kafka and secured APIs with Keycloak (OAuth 2.0) via an API gateway and Eureka service discovery, using both PostgreSQL and MongoDB for data management.

Java Spring Boot Spring Cloud Apache Kafka Microservices Architecture Keycloak OAuth 2.0 API Gateway PostgreSQL MongoDB

AI Mock Interview Builder

AI Mock Interview Platform

Aug 2025 - Oct 2025 (2 months)

Built an AI-powered mock interview platform using Gemini API to generate real-time questions and feedback. Implemented browser-based video/audio recording with MediaRecorder, stored interview history and performance analytics in PostgreSQL (Drizzle ORM), and deployed on Vercel after testing with 10+ peers.

Next.js React TypeScript Gemini API PostgreSQL Drizzle ORM MediaRecorder API