Rahul User
@rahul5r
I build intelligent applications with LLMs, RAG, AI agents, and modern AI frameworks.
IndiaWhat I'm looking for
I've built LLM-powered applications at Altimetrik, including an AI Intern Assessment Platform and Workforce Demand-Supply Platform, using LangChain, LangSmith, FAISS, AWS Bedrock, and responsible AI practices.
My work spans RAG systems, AI agents, knowledge graphs, FastAPI services, and scalable microservices. I developed CogniScreen.ai interview workflows for evaluation, scoring, and feedback, and migrated a workforce analysis application from Streamlit to a FastAPI and Next.js microservices architecture.
I've also delivered Python automation projects for international Upwork clients and researched interpretable deep-learning image segmentation at CSIR-4PI. As a two-time hackathon winner, I enjoy building scalable, responsible, and impactful AI products.
Experience
Work history, roles, and key accomplishments
AI Intern
Altimetrik India Pvt Ltd.
Mar 2026 - Present (5 months)
Completed hands-on GenAI training focused on LLMs, RAG pipelines, and real-world AI system development. Built AI applications using LangChain, LangSmith, and FAISS, and contributed to AI-driven products including an Interview Assessment Platform and a Workforce Demand-Supply Platform.
Research Intern
CSIR – Fourth Paradigm Institute
Jul 2025 - Oct 2025 (3 months)
Built and evaluated deep learning-based image segmentation models using Python and PyTorch. Applied CNN interpretability techniques such as Grad-CAM to explain model predictions and improve transparency.
Delivered Python-based automation solutions for international clients across web scraping, data extraction, and document parsing projects. Developed custom scripts for PDF/document parsing and data processing tailored to client requirements.
Education
Degrees, certifications, and relevant coursework
Maharaja Institute of Technology Mysore
Bachelor of Engineering, Computer Science and Engineering - Data Science
2022 -
Grade: 8.8/10
Pursuing a Bachelor of Engineering in Computer Science and Engineering with a focus on Data Science, maintaining a CGPA of 8.8/10.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Social media
Job categories
Skills
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