
PUNITH User
@punith
I build production-deployed AI systems for retrieval, evaluation, and multimodal search.
What I'm looking for
I've built four production-deployed AI/ML systems spanning retrieval-augmented generation, LLM evaluation, and multimodal embedding search. My work includes DocQuery, a hybrid RAG system that searches 100+ page PDFs with source citations, and a FashionCLIP-powered natural-language image search engine.
At Woxsen University's AI Research Centre, I led a Whisper-based speech-to-text pipeline that achieved 85% accuracy on diverse Indian accents and built transformer-based video summarization that reduced 30-minute reviews to two minutes. Through Infosys Springboard, I implemented LSTM and Random Forest models for energy consumption forecasting and delivered a Flask dashboard for real-time predictions.
I'm a final-year B.Tech Computer Science student focused on shipping practical AI products with Python, RAG, evaluation pipelines, FastAPI, and vector search.
Experience
Work history, roles, and key accomplishments
AI Research Intern
AI Research Centre, Woxsen University
Jan 2025 - Jul 2025 (6 months)
Led development of a speech-to-text pipeline using OpenAI Whisper, achieving 85% accuracy on diverse Indian accents. Built a transformer-based abstractive summarization module, reducing 30-minute video reviews to 2-minute summaries.
Education
Degrees, certifications, and relevant coursework
Woxsen University
Bachelor of Technology, Computer Science and Engineering (AI & ML Specialization)
2023 -
Grade: 8.69/10
Pursuing a B.Tech in Computer Science and Engineering with a specialization in AI and ML, maintaining a CGPA of 8.69/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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