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Darshan S. Bagalkot

AI Engineer | Agentic Workflows Automation (MCP, n8n, LLMs) | Computer Vision & Deep Learning | ECE ’26

Dharwad

< 1 year of work experience

Learners Byte
Jan 20265 mosMay 2026

Hyderabad

Built a multi-agent AI Crisis Command Center on n8n. Learned Prompt Engineering, worked using Generative AI tools (Gemini, ChatGPT, Grok AI, Leonardo AI), and Agentic AI workflow design. Completed with certification.

Darshan’s AI Stack

antigravity
antigravity
claude code
claude code
gemini
gemini
github copilot
github copilot
grok
grok
metaai
metaai

Education

Visvesvaraya Technological University

Bachelor of Engineering - BE, Electronics and Communication

Visvesvaraya Technological University

20224 yrs2026
Ics Mahesh pu College

Pre University, Science

Ics Mahesh pu College

20211 yr2022

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Headline

AI Engineer | Agentic Workflows Automation (MCP, n8n, LLMs) | Computer Vision & Deep Learning | ECE ’26

About

I am a Graduating Electronics and Communication Engineering student from KLS VDIT, Haliyal, with a CGPA of 8.8. My degree gave me the foundation, but what I have built beyond it is where I truly invest myself. I do not like to stay at the surface of anything. Whatever I pick up whether it is a concept, a technology, or a problem I go deep into it until I understand it completely, from its core to its broadest boundaries. That is just how I am wired. I want to reach the peak of a thing before I move on. That mindset is what led me to Agentic AI and multi-agent systems. During my internship with the Bharat Unnati AI Fellowship, I designed autonomous workflows using n8n connecting large language models, live APIs, and real data to automate processes that would otherwise require constant human intervention. One of my major projects, the Crisis Command Center, uses Gemini 2.0 and Llama 3.3 to automate disaster intelligence and tactical reporting in real time with a Human-in-the-Loop layer, because even in automation, judgment matters. On the computer vision side, I have worked extensively with the YOLO ecosystem. I built a real-time weed detection and classification system using YOLOv8 for precision agriculture curated the datasets, retrained the models, built the inference pipeline end to end, and presented it at the PJMT National Green Earth Challenge South Zonal Round. I also come from a hardware background Arduino, ESP8266, C and C++ which means I understand the full picture from the physical layer up to intelligent systems running on top of it. Beyond engineering, I am deeply fascinated by astrophysics and outer space. I think exploring the unknown at the deepest level whether it is a system I am building or the universe itself is the same impulse. That curiosity is what drives me. I am currently looking for roles in AI/ML Engineering, GenAI and Agentic AI development, Automation Engineering, or Software Development. If you are building something real and ambitious, let us connect darshanbagalkot03d@gmail.com

Location

Dharwad

AI stack

antigravity

claude code

gemini

github copilot

grok

metaai

Work experience

AI Research & Development Intern at Learners Byte, Jan 2026 - May 2026 · 5 mos, Hyderabad, Built a multi-agent AI Crisis Command Center on n8n. Learned Prompt Engineering, worked using Generative AI tools (Gemini, ChatGPT, Grok AI, Leonardo AI), and Agentic AI workflow design. Completed with certification.

Education

Bachelor of Engineering - BE, Electronics and Communication, Visvesvaraya Technological University

Pre University, Science, Ics Mahesh pu College

Public links

github: https://github.com/darshanbagalkot03d-oss