Abhinav Kurup
Open to work2 years experienceAI & Python Backend Engineer
AI & Python Backend Engineer with 2 years of experience in LLM-powered applications and RAG pipelines.
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
23 skillsWork Experience
Associate Software Engineer
Infuse Pvt Ltd
- Developed and maintained a scalable microservices-based enterprise automation platform.
- Architected anAgentic GraphRAGplatform (LLMs + Langchain + LlamaIndex) that turns fragmented business documents into structured process flows and system dependency maps.
- Built an NLP-driven document ingestion powering it: layout-aware parsing→vector indexing→entity extraction→Neo4jgraph construction, fully automated end-to-end.
- Built aquery orchestrationlayer that dynamically selected retrieval strategies and constructed context from vector and graph stores based on query intent, improving response relevance by 25%.
- AddedLangSmithtracing andevaluationfor LLM pipeline observability , cutting multi-agent debugging time by 40% through centralized observability .
Python Backend Engineer
BlueSkript
- Built a production backend (Django REST Framework,PostgreSQL, OAuth/JWT) from client requirements to live deployment.
- Shipped anagentic AI assistanton WhatsApp to real customers, using hybrid semantic search to resolve live guest queries in real time during high-pressure, multi-day events.
- Architected anasynchronoustask processing system using Celery and Redis to offload background workflows,containerized usingDockerand an automatedCI/CDinfrastructure on AWS.
Projects
DocuMind AI
- Built a citation-backed multi-agent RAG system using FastAPI, LangGraph, ChromaDB, Ollama, and OpenAI.
- Built end-to-end NLP voice pipeline using Whisper forspeech-to-text(STT) and SpeechT5 fortext-to-speech (TTS), enabling conversational RAG interactions with a fully on-device inference stack.
- Built a scalable indexing/retrieval pipeline usingHugging Faceembeddings + hybrid (dense/sparse) search, boosting retrieval precision on complex multi-document queries.
- Benchmarked RAG pipelines usingRAGASandLLM-as-a-Judgeevaluations, improving retrieval accuracy through targeted pipeline tuning.
MCP-FinAnalytics
- Built a cross-platform agentic AI system (MCP+ FastMCP), orchestrating 5 modular backend services for dynamictool discoveryand multi-source financial analysis.
- Developed aReActagent using LangGraph and external tools to generate grounded financial insights.
- Built a multi-LLM orchestration layer (LiteLLM Router) for dynamic model routing, provider failover, and cost optimization acrossOpenAI, Gemini, and Claude.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
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
AWS Certified Cloud Practitioner
AWS Certified Cloud Practitioner
Cybersecurity Foundations for Enterprise Software
Cybersecurity Foundations for Enterprise Software - Udemy
About Details
Professional Bio
AI & Python Backend Engineer with 2 years of experience building LLM-powered applications, Agentic AI systems, RAG pipelines, and scalable backend services. Passionate about developing reliable, production-ready AI solutions that solve real-world problems.
B.E. in Computer Science
Goa College of Engineering (2020 - 2024)