Atindra Mishra
Open to work1 years experienceGen AI & Full Stack Developer
Gen AI & Full Stack Developer
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Skills & Technologies
52 skillsGitHub Activity Evidence
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Work Experience
Gen AI & Full Stack Developer
Invasion Media
- Built and deployed production RAG pipelines using LangChain, OpenAI API, and open source LLMs (Ollama, Groq) with vector databases (Pinecone, ChromaDB, pgvector) serving international clients with large-scale semantic search
- Engineered AI agent workflows for Discord automation and email processing pipelines, significantly reducing client manual processing time; integrated LLM routing between cloud and local models to optimize inference cost
- Deployed and monitored applications on AWS EC2/S3, Vercel, and Render with CI/CD pipelines and observability instrumentation
Freelance Full Stack Developer
Real Space Group & RSVP Group
- Delivered 2 responsive real estate web platforms using React.js and Node.js with RESTful APIs, mobile-first design, and property listing management
Projects
Production RAG Pipeline with Eval Layer
- Built a production-grade RAG system with hybrid BM25 + vector retrieval merged via Reciprocal Rank Fusion (RRF) and cross-encoder reranking using BAAI/bge-reranker-base, achieving measurable improvement in context precision across evaluation benchmarks
- Implemented automated RAGAS evaluation suite (faithfulness, context precision, context recall, answer relevance) with CI-gated GitHub Actions blocking regressions on every PR
- Added full observability layer tracking latency, cost-per-query, and token usage per request to Supabase; exposed via FastAPI with Next.js retrieval inspector UI
Agent-Evals - LangGraph Agent Evaluation Harness
- Built an open-source evaluation harness that clones any public LangGraph agent repo, installs dependencies into an isolated virtualenv, and auto-generates deterministic test cases across happy path, edge case, adversarial, and tool failure categories
- Scored agent outputs with DeepEval (answer relevancy + task completion) and captured full execution traces in Langfuse Cloud; designed async audit pipeline with multi-stage status progression from cloning through evaluation
Cloud-Based IDE Platform
- Built scalable cloud IDE supporting concurrent users with persistent runtime environments and real-time collaboration via WebSocket
- Containerized isolated execution environments per user with Docker, orchestrated with Kubernetes on AWS EC2/S3 for reproducible and scalable workspaces
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
NVIDIA Deep Learning Institute Certifications
NVIDIA Deep Learning Institute: Generative AI with Diffusion Models, Augment LLMs Using RAG, Building LLM Applications With Prompt Engineering
Google Cloud Skills Certification
Google Cloud Skills: Build Intelligent Agents with Agent Development Kit (ADK)
About Details
Professional Bio
Gen AI & Full Stack Developer with expertise in building production-grade RAG pipelines, AI agent workflows, and scalable web applications. Proficient in Python, JavaScript, TypeScript, and cloud infrastructure. Experienced in optimizing LLM inference and implementing automated evaluation suites.
Bachelor of Technology in Computer Science and Engineering in Computer Science and Engineering
Shree Vaishnav Vidyapeeth Vishwavidyalaya (2021 - 2025)