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onkar kshirsagar

Open to work1 years experience

AI Developer

Pune, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Computer Engineering undergraduate (Class of 2027) specializing in Data Science and AI.

GitHub

Standing Rank

Rank Not Available

Developer Badges

No badges earned yet

Skills & Technologies

29 skills
pythonc++sqljavascriptscikit-learntensorflowlangchainlanggraphcrewairagmcpllm fine-tuningllmopsmulti-agent systemsprompt engineeringawsdockerci/cdgitfaisschromadbpineconemongodbpostgresqlmysqlfastapinode.jsreactjsrest apis

Work Experience

AI Developer Intern

Coderower Software

Mar 2026 - Jun 2026 Remote
  • Built and deployed Agentic AI systems using CrewAI, LangGraph, and OpenClaw, automating multi-agent workflows to boost processing throughput by 35%.
  • Optimized core LLM pipelines with dynamic context pruning and memory reuse, cutting token costs by 40% and reducing query latency by 25%.
  • Containerized services with Docker and deployed to cloud VPS infrastructure as part of a CI/CD release workflow using Git version control.

AI/ML Developer Intern

MCAD Solution

Nov 2025 - Jan 2026 Pune, Maharashtra
  • Developed a Model Context Protocol (MCP) based solution to automate complex CAD sheet management, significantly reducing manual drafting overhead.
  • Designed and deployed an automated Quality Check System leveraging Computer Vision and LLMs to process technical designs and provide real-time geometric error feedback.

Projects

AgentBuilder: Autonomous AI-Powered IDE

LangGraphFastAPIDocker SDKMongoDBGemini 3.1 Pro
  • Built a multi-agent LangGraph system with collaborating Architect and Coder agents executing code inside the IDE.
  • Automated end-to-end full-stack VPS deployments, serving live website/app previews from prompts in under 5 minutes.
  • Engineered a FastAPI backend to process 1,000+ concurrent requests, cutting development time by 90%.

TalentScout: AI Recruitment Assistant

LangChainLangGraphGroqPydanticStreamlit
  • Developed an automated candidate screening system that interviews applicants in natural language to dynamically extract technical skills from unstructured chat conversations.
  • Developed a smart technical testing engine that generates custom questions tailored to the candidate’s background with sub-second response latencies powered by Groq.

Document.AI: Agentic RAG System

LangChainFastAPIPineconeOpenAI Embeddings
  • Developed a full-stack Agentic RAG application utilizing a Corrective RAG (CRAG) strategy to validate retrieved context and fallback to live web search when necessary.
  • Implemented complex REACT-based architecture to reliably manage multi-step text retrieval, evaluation, and vector search workflows.

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

SIH Runner-up

Secured 2nd Prize in Internal Smart India Hackathon (out of 200 teams) for an AI civic issue detector.

About Details

Professional Bio

Computer Engineering undergraduate specializing in Data Science and AI. Experienced in architecting Agentic Workflows with LangGraph and CrewAI, deploying RAG/LLMOps pipelines, and Cloud Orchestration. Focused on delivering production-grade, tested AI systems.

B.E. in Computer Engineering

MMCOE, Pune ( - 2027)

Languages: English, Hindi
onkar kshirsagar - Profile | Swiftcruit