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Raunak Raunak

Open to work0 years experience

AI Developer

Raebareli, UttarPradeshTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

IT Student & AI Developer specializing in Agentic AI, GenAI, and Full Stack development.

GitHub

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Skills & Technologies

40 skills
pythonsqlc++javahtmlcsslanggraphlangchaincrewaigroq apiopenaihugging facerag pipelinesfaisspineconechromadbfastapiqdrantmongodbmcpsentence-transformerswhisper sttedge ttsreactvitetailwindcssvanilla jsrest apiswebsocketsgithubrenderdockersupabasepostgresqlzapierlovable.devproblem solvingteam leadershipproject managementanalytical thinking

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Work Experience

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Projects

AgentForge — AI Agent Marketplace Platform

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PythonFastAPILangGraphCrewAIGoogle ADKGroq APIMongoDBQdrantRender
  • Built a full-stack AI agent marketplace where users can browse and run three AI agents (LangGraph, CrewAI, Google ADK) from a single React frontend — each agent handles different tasks independently.
  • Designed a LangGraph multi-step reasoning agent with a calculator tool and Qdrant-powered RAG knowledge base — agent automatically searches relevant documents before answering questions.
  • Built a CrewAI agent with two cooperating roles (Researcher + Writer) for polished content; integrated MongoDB Atlas for persistent cross-session conversation memory.
  • Deployed FastAPI backend on Render.com connected to Lovable.dev React frontend via live API calls with CORS support and Zapier automation webhook.

Fluent AI — Two-Way AI Voice Coaching App for Language Learning

PythonFastAPIReactWhisper STTGroq APIEdge TTSChromaDBSupabaseGmail MCPZapierRender
  • Built an end-to-end two-way AI voice coaching app — speaks a sentence in any target language, listens to the user repeat it, scores pronunciation, and gives instant spoken feedback in under 800ms.
  • Implemented full voice pipeline: Whisper STT for real-time transcription, Groq LLM for pronunciation scoring and vocabulary suggestions, Edge TTS for natural spoken responses — 100% free stack.
  • Integrated RAG using ChromaDB to store session history — detects repeated pronunciation mistakes across sessions and adapts practice difficulty automatically via pattern recognition.
  • Used MCP (Model Context Protocol) to orchestrate AI tool workflows — Claude directly accesses Supabase and auto-delivers post-session PDF progress reports to user Gmail with zero extra API code.

Customer Churn Prediction — End-to-End ML Pipeline

PythonScikit-learnXGBoostPyTorchPandasREST APIs
  • Built full ML pipeline: data ingestion, EDA, feature engineering, SMOTE, multi-model training (Logistic Regression, Random Forest, XGBoost) with GridSearchCV hyperparameter tuning.
  • Shipped to production with REST API endpoint; evaluated using ROC-AUC, precision-recall, and confusion matrix with version-controlled experiments.

Leaderboard Standings

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Assessment Highlights

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AI Collaboration Score

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Role Compatibility Profile

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Achievements

LeetCode 100-Day Coding Badge

LeetCode 100-Day Coding Badge (2025) — Solved 300+ problems in Python and C++ across trees, graphs, dynamic programming, and sorting.

Technical and Logistics Head, Rotaract Club GLB (2024)

Led cross-functional team to deliver multiple projects on schedule.

About Details

Professional Bio

Aspiring IT professional with expertise in Agentic AI, GenAI, and full-stack development. Experienced in building end-to-end AI applications using LangGraph, CrewAI, and FastAPI. Passionate about problem-solving and scalable software solutions.

Bachelor of Technology in Information Technology

G.L. Bajaj Institute of Technology and Management (2022 - 2026)

Languages: English, Hindi
Raunak Raunak - Profile | Swiftcruit