Neeraj Kumar

About Neeraj Kumar

I’m a Full Stack Developer proficient in Python (FastAPI, PostgreSQL, SQLAlchemy) on the backend and TypeScript, React, Next.js on the frontend, building scalable, end-to-end web applications.Currently pursuing a B.S. in Programming & Data Science at IIT Madras, I have expertise in GenAI ecosystem, working with tools like LLMs, LangChain, LangGraph, and VectorDBs to build intelligent, context-aware applications.I have experience leading small dev teams and one year experience in algorithmic trading and data analysis at the intersection of tech and finance.Core Strength: Complex System SynthesisMy biggest strength lies in the ability to analyze and combine hundreds of diverse variables into a single, cohesive, and actionable output. I specialize in mapping interdependencies between seemingly unrelated data points, allowing me to build robust systems where high-dimensional complexity is distilled into streamlined, independent variables for better decision-making and efficiency.Key Skills:• Frontend: TypeScript, React.js, Next.js, Tailwind CSS• Backend: Python, FastAPI, PostgreSQL, SQLAlchemy, Pydantic• AI/GenAI: LLMs, LangChain, LangGraph, VectorDB, JSON Prompt Templates• DevOps & Cloud: Docker, AWS, Azure, CI/CD, GitHub Actions• Dev Practices: RESTful APIs, Clean Architecture, Modular Design, Team Leadership• Domains: Algorithmic Trading, Data Analysis, Research-Oriented Development• Education: B.S. in Programming & Data Science, IIT Madras• Project Management: Jira, Confluence• Cybersecurity- CCNA(mid-level), Penetration testing, API security, Port Scanning, Red Team

Experience

1. Ai Ml Engineer

   Codeelan Technologies

   Jan 2026 — Present · Jaipur, IN

   Designed and deployed real-time Computer Vision pipelines on, optimizing inference latency by 40% using TensorRT and CUDA: Managed end-to-end data workflows via the platform, including multi-modal data ingestion (video/text) and seamless integration with for precise annotation. & : Managed full-stack hardware configuration, including TP-link, kernel-level driver setups, firmware files setup and network troubleshooting for edge devices: Fine-tuned and trained object detection models for real-time identification of railway components, managing the full lifecycle from data labeling to the : Authored technical SOPs for hardware assembly and network protocols, ensuring seamless deployment and system uptime.

Education

• Indian Institute of Technology, Madras

  Bachelor of Science - BS, Data Science Application and Programming

• Motion Education Pvt Ltd

  JEE MAINS JEE ADVANCE, JEE ADVANCE EXAM IITs