
Chitransh User
@chitranshuser
I build production-ready agentic AI systems, retrieval pipelines, and deployed machine learning products.
What I'm looking for
I architected core retrieval and memory components for Jnanik AI's multi-tenant conversational AI system, supporting an acoustic water-leak detection client. I owned the design and implementation of 9+ capabilities, including hierarchical retrieval, knowledge-graph-augmented retrieval, and HyDE-based query expansion.
At TetraNoodle Technologies, I deployed 5+ production-ready ML models with containerization, CI/CD automation, and monitoring. I also fine-tuned LLMs for domain-specific tasks, improving inference accuracy by 30%, and automated ML workflows that reduced manual processing overhead by 70%.
I build end-to-end AI products across deep learning, NLP, computer vision, and semantic search, from medical-image classification to AI-assisted web applications. I enjoy making independent technical decisions while balancing accuracy, speed, and long-term maintainability.
Experience
Work history, roles, and key accomplishments
Engineering Intern (Direct Founder Track)
Jnanik AI
Apr 2026 - Jul 2026 (3 months)
Architected core retrieval and memory components of a multi-tenant conversational AI system, including hierarchical retrieval and knowledge-graph-augmented retrieval. Built and ran a structured QA evaluation framework to benchmark response quality against a competing system.
Education
Degrees, certifications, and relevant coursework
Manipal University Jaipur
Bachelor of Technology, Computer Science Engineering
2022 - 2026
Grade: CGPA: 8.04
Pursuing a B.Tech in Computer Science Engineering with a CGPA of 8.04.
Chethana PU College (Deeksha)
Pre-University Course, Pre-University Course
2020 - 2022
Grade: 87%
Completed Pre-University Course (PUC) with a percentage of 87%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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