Nitesh Upadhyay ๐ฎ๐ณ โ Product Engineer
Hello Techies ๐ I'm Nitesh Upadhyay โ an Agentic AI & GenAI Developer, Python Cloud Engineer, and AI-First Systems Architect passionate about building intelligent, autonomous, and cloud-native solutions using cutting-edge technologies like LLMs, LangChain, LangGraph, LangSmith, and Agno. I thrive on solving real-world problems through clean code, smart architecture, and intelligent automation. With solid experience in FastAPI, Django, Flask, and AWS, I develop scalable APIs, intelligent pipelines, and autonomous AI agents that can plan, reason, and act using memory, tools, and dynamic workflows. ๐ก What I Do Best โ Build intelligent backends with FastAPI & Django โ Architect & manage cloud-native infrastructure (AWS) โ Design & deploy ML / GenAI pipelines at scale โ Develop Agentic AI systems using LangChain, LangGraph, LangSmith โ Implement RAG, tool-usage, & memory for context-aware agents โ Deliver clean, testable, and CI/CD-ready production code ๐ ๏ธ Technical Toolkit Languages & Frameworks: Python, FastAPI, Django, Flask GenAI & Agents: LLMs, LangChain, LangGraph, LangSmith, Agno, Crew AI, Agents, RAG, Prompt Engineering AI/ML: Pandas, NumPy, Scikit-learn Web & Auth: REST APIs, JWT, CRUD, Role-Based Access Databases: MySQL, SQLite Cloud & DevOps: AWS, Docker, GitHub Actions, Jenkins ๐ง Agentic AI & LLM Workflows I specialize in autonomous, goal-driven AI systems that blend memory, tools, and multi-step workflows: ๐น LangChain Agents & Tools: Dynamic planning & tool chaining ๐น LangGraph: Branching workflows for advanced orchestration ๐น LangSmith: Debugging & evaluation for production-grade LLMs ๐ Projects & Implementations ๐ธ LangGraph Agent System Built an autonomous workflow using LangGraph for multi-turn decision logic and memory-aware task handling. ๐ธ LangChain Tool-Using Agent Developed a LangChain agent capable of dynamic tool use, fallback decisions, and external API chaining. ๐ธ LangSmith Evaluation Pipeline Integrated LangSmith for LLM observability, debugging, and iterative prompt/tool improvement in production settings. ๐ Certifications & Achievements ๐ AWS Certified Cloud Practitioner ๐ Microsoft Azure Fundamentals (AZ-900) ๐ Databricks Generative AI Fundamentals ๐ Python Quiz National Finalist ๐ฎ๐ณ ๐ INSPIRE Scholarship โ Govt. of India ๐ค Letโs Connect & Collaborate! Iโd love to connect and contribute. ๐ง Email: upadhyay02nitesh@gmail.com ๐ GitHub: github.com/upadhyay02nitesh ๐ LinkedIn: linkedin.com/in/nitesh02upadhyay ๐ฑ Phone: +91-6264534556
Stackforce AI infers this person is a Backend-heavy Fullstack Developer specializing in Generative AI and cloud-native solutions.
Experience: 2 yrs 3 mos
Skills
- Generative Ai
- Agentic Ai
- Backend Development
Career Highlights
- Expert in building autonomous AI systems.
- Proven track record in Generative AI and ML pipelines.
- Strong background in cloud-native architecture and deployment.
Work Experience
Hexaware Technologies
Generative AI Engineer (4 mos)
Tata Consultancy Services
GenAI Python Developer | LLM & AI Agent Specialist (1 yr)
Assistant System Engineer ( Data and Gen AI) (11 mos)
YouTube
Content Creator (2 yrs 6 mos)
JPMorgan Chase & Co.
Software Engineering Virtual Experience (2 mos)
Infosys
Power Programmer Virtual Experience Program (2 mos)
Deloitte
STEM Connect Virtual Experience Program (2 mos)
Education
Master of Computer Applications - MCA at Lakshmi Narain College of Technology, Kalchuri Nagar, Raisen Road, Post Klua, Bhopal-462021
Bachelor of Science - BS at Awadhesh Pratap Singh Vishwavidyalaya
Higher Secondary at Board of Secondary Education, Madhya Pradesh
High school at Board of Secondary Education, Madhya Pradesh