Headline

Agentic AI Developer | LLM & Multi-Step AI Systems (LangGraph, LangChain) | Building Practical AI Agents & Automation Tools | Python, APIs

About

I’m an Agentic AI Developer focused on building reliable, goal-driven AI systems that do more than answer prompts; they plan, reason, and execute multi-step workflows using frameworks like LangGraph and LangChain. My work bridges research concepts and real-world applications, with a strong emphasis on robust engineering, safety, and practical integration. I’ve studied and implemented the full Agentic AI roadmap (including LangGraph workflows, tool-enabled agents, RAG, memory, and orchestrated multi-step reasoning) based on the Roadmap To Learn Agentic AI curriculum and hands-on projects. What I do: -> Design and build agentic workflows with evidence-based guardrails and verification -> Build AI automation agents that integrate with APIs, data sources, and orchestration frameworks -> Fine-tune and deploy LLMs with controlled behavior and evaluation pipelines -> Develop practical tools to scale AI agents in education, marketing, and business workflows Technical strengths: -> Python, LangGraph, LangChain, RAG + embeddings -> LLM fine-tuning and evaluation -> API integration and workflow orchestration -> Practical deployment of AI-based systems (Docker, REST APIs) -> Debugging and Monitoring of the System I’m passionate about making AI agents trustworthy, measurable, and useful; not just experimental. Beyond code, I enjoy sharing insights, writing technical posts, and collaborating with builders who want to bring autonomous AI solutions into production. Let’s connect if you’re working on or exploring AI agents, autonomous workflows, or productizing agentic systems! email: ayushdhume07@gmail.com

Location

Pune/Pimpri-Chinchwad Area

AI stack

antigravity

claude

codex

Work experience

Associate Researcher at Dr. D. Y. Patil Vidyapeeth, Aug 2024 - Apr 2025 · 9 mos, Pune, Maharashtra, India, - Developed ALGOTRADERPRO, a real-time multi-strategy trading dashboard that increased back-tested returns by 12%. – Designed high-throughput data pipelines, reducing system latency by 25%. – Integrated intelligent models for portfolio management and decision automation.

Machine Learning Intern at iNeuron.ai, Jun 2023 - Jan 2024 · 8 mos, India, It was an internship where I had to decide a project to work on. I selected an Investment prediction model to work on. I was also rewarded with an experience letter for it.

Education

Bachelor of Technology - BTech, Artificial Intelligence and Data Science, Dr. D. Y. Patil Vidyapeeth's Dr. D. Y. Patil School of Science and Technology

11th-12th, science, Shri Shivaji Vidya Mandir