Headline

Full Stack Developer | AI & LLM Applications | Java • React • Next.js • Node.js • Python | RAG • LangChain • Vector DB | Building Scalable AI Systems

About

Most developers use AI tools. I build them. I'm Uttam — a Full Stack & AI Engineer in my final year at KIIT University (graduating 2026), building production-ready applications at the intersection of modern web development and large language models. ━━━ What I've built ━━━ → AI Content Repurposing Pipeline An end-to-end LLM pipeline that transforms long-form content into platform-ready tweets, LinkedIn posts, newsletters, and ad copy — preserving brand voice, delivering results in under 3 seconds. → AI Creators Platform A full-stack platform for AI content creators, with optimized media delivery, a Shadcn-based design system, and a fully responsive production UI. ━━━ Where I've worked ━━━ → Data Analytics Intern — Octane (2025) Wrote Python & SQL pipelines that cut manual validation effort by 15% and cleaned 10,000+ product records. Analysis I delivered shaped 3 features on the Q3 product roadmap. ━━━ My stack ━━━ Frontend: React, Next.js, Tailwind, Shadcn UI Backend: Node.js, Express, REST APIs AI/LLM: LangChain, RAG, AI Agents, Prompt Engineering, Claude API, OpenAI API Databases: PostgreSQL, MongoDB, Pinecone, ChromaDB, FAISS Cloud: AWS, Docker, GitHub Actions What drives me: the gap between a great AI idea and a working product is mostly an engineering problem. I like closing that gap. If you're building in the AI space and need someone who can move fast — from LLM pipeline to polished frontend — let's connect. 📩 09uttamkumarsingh@gmail.com |

Location

Bengaluru

AI stack

cursor

hugging face

langchain

openai

Work experience

Data Analyst at Octane Instrumentation Pvt Ltd, Apr 2025 - Jul 2025 · 4 mos, Bengaluru, Karnataka, India, Processed and analyzed large-scale customer and operational datasets using Python and SQL, implementing data cleaning, transformation, and deduplication pipelines to improve data reliability. Developed automated data validation and preprocessing scripts, reducing manual data processing effort and improving workflow efficiency. Collaborated with engineering and customer support teams to translate operational requirements into data-driven solutions and reporting tools. Contributed to operational improvements that reduced claim resolution time by 15% and improved customer satisfaction by 20%.

Education

Computer Science and Engineering, KIIT - Kalinga Institute of Industrial Technology

Public links

github: https://github.com/uttamsingh24