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MW

Mohit Wankhede

MCA student · Applied GenAI / AI Voice & Backend Engineering Intern

Pune, Maharashtra, India

@mohit_wankhede

LinkedIn GitHub

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🎓 MCA at ASM's Institute of Business Management and Research (IBMR), Pune · Graduating 2027

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About

MCA student building applied LLM systems, FastAPI services, and multimodal voice/vision workflows. Has hands-on experience with backend APIs, LLM integrations, debugging, and deployed accessibility and video-intelligence projects.

Education

  • MCA
    ASM's Institute of Business Management and Research (IBMR), Pune
    2025 – 2027
  • BCA
    Baheti College
    Awarded by KBCNMU
    2022 – 2025

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL CSS OCR RAG HTML Yolo Faiss Python OpenCV FastAPI Pydantic Debugging LangChain LangGraph JavaScript WebSockets Embeddings whisper model speech-to-text Prompt Engineering Generative AI Tools API Integration Understanding

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Chroma Docker GitHub Hugging Face

Projects

  • Sahayak AI - Multimodal Agentic Accessibility Platform
    FastAPI, WebSockets, AI agents, OCR, voice I/O

    Accessibility-oriented system integrating speech, camera vision, OCR, gesture communication, indoor navigation, and AI agents. Built FastAPI endpoints and WebSocket event streaming for agent queries, vision, OCR, and navigation with voice commands and speech output.

  • VIDEO_AGENT - YouTube Video Intelligence
    Python, FastAPI, Whisper, Chroma, HTML, CSS, JavaScript

    Python/FastAPI pipeline for transcript extraction, summarization, keyword extraction, and structured video insights. Implemented LLM Q&A over chunked transcripts using Chroma retrieval and built a plain HTML/CSS/JS interface.

  • Conditional RAG College Assistant
    LangGraph, Hugging Face, FAISS

    Built conditional LangGraph routing for academic retrieval, fee retrieval, and general LLM answers using Hugging Face embeddings and FAISS.

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