vipul chinmay User
@vipulchinmay
AI Engineer Intern building LLM/RAG and learning-to-rank systems to improve search relevance and scalable ML deployment.
What I'm looking for
I’m a final-year Computer Science undergraduate building production-minded AI systems, and I’m currently an AI Engineer Intern at Krignal Technologies. I collaborate with AI and product teams to design and deploy AI-driven backend services for content generation, tagging, access control, and real-time insight delivery.
My work centers on LLM pipelines and multi-agent AI architectures, including RAG systems and ranking-aware retrieval services with prompt experimentation and agent evaluation. I’m especially motivated by search relevance—BM25 + neural reranking, learning-to-rank, and measurable metrics like NDCG and MRR—and I aim to ship low-latency ML services using AWS and modern evaluation practices.
Experience
Work history, roles, and key accomplishments
AI Engineer Intern
Krignal Technologies
Nov 2025 - Present (7 months)
Designed and built AI-driven backend services for content generation, tagging, access control, and real-time insights across professional communities. Developed multi-agent and RAG-based pipelines, supported user/role management, and evaluated prompt/model behavior for different personas and contexts.
Education
Degrees, certifications, and relevant coursework
Computer Science Undergraduate
Bachelor's degree (Computer Science), Computer Science
Final-year Computer Science undergraduate with hands-on experience designing and deploying ML/NLP systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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