Dipak Khandagale
@dipakkhandagale
I build production-ready AI applications using LLMs, RAG, and computer vision.
IndiaWhat I'm looking for
I built Scorelia, an AI career intelligence platform that combines resume analysis, ATS scoring, job matching, mock interviews, and personalized career roadmaps.
I engineered its multi-agent AI system with RAG, LangChain, Ollama, Qwen 2.5, and ChromaDB, alongside secure FastAPI and PostgreSQL backend services and a responsive React frontend. I also implemented automated API testing with Pytest, HTTPX, and AnyIO to improve reliability and maintainability.
I've developed computer vision systems for deepfake video detection and real-time face-recognition attendance. My deepfake classifier used ResNet50 and BiLSTM, achieved 85% accuracy on 400 real and deepfake videos, and was deployed through FastAPI REST APIs.
During my AI internship at RaiTalk, I evaluated 50+ prompt variations, validated AI workflows and outputs, tested API integrations, and documented issues to improve model quality and application reliability.
Experience
Work history, roles, and key accomplishments
AI Intern
RaiTalk
Jan 2026 - May 2026 (4 months)
Evaluated 50+ AI prompt variations to improve response quality and consistency. Performed AI output evaluation, workflow validation, and functional testing across diverse use cases.
Education
Degrees, certifications, and relevant coursework
MIT College of Engineering, Chhatrapati Sambhajinagar
Bachelor of Technology, Artificial Intelligence and Data Science
2022 -
Pursuing a Bachelor of Technology in Artificial Intelligence and Data Science.
Availability
Location
IndiaAuthorized to work in
Website
dipakkhandagale.vercel.appJob categories
Skills
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