Testimonials
Services
Priority DM . 3 days reply
Video meeting . 20 mins
Video meeting . 30 mins
5
Video meeting . 45 mins
Mock Interview - DSA
I'll run a realistic DSA coding interview with you
Video meeting . 45 mins
Project Guidance - AI/LLM/RAG/Agents
Want to build a GenAI project for interviews?
Package . 3 products
Placement Ready
Get placement-ready in 3 focused sessions
Resume & Portfolio Review
Video Meeting
1
Mock Interview - DSA
Video Meeting
1
Career Roadmap & Guidance
Video Meeting
1
Digital Product
GenAI Engineer Roadmap 2026 (FREE PDF)
A practical guide to become a production-ready LLM engineer.
Video meeting . 30 mins
Interview Prep & Tips
Have an interview coming up? Let's make sure you're ready.
Video meeting . 30 mins
Video meeting . 45 mins
Mock Interview - AI/ML & GenAI
Targeting AI/ML or GenAI roles?
Package . 2 products
Build Your First GenAI Project
Go from zero to a deployed GenAI project in 2 sessions
Code Review & Architecture Help
Video Meeting
1
Project Guidance - AI/LLM/RAG/Agents
Video Meeting
1
About me
Hey! I'm Gangothri - a Software Engineer who builds AI-powered products daily, teaches LLM engineering, and solves DSA problems for fun.
I work at an Edtech startup where I build LLM-driven features (AI tutoring agents, RAG systems, multi-agent pipelines) and ship Flutter apps used by thousands of students. I also actively teach LLM Engineering & Generative AI - covering everything from Python and PyTorch to RAG, agents, fine-tuning, and production deployment.
Before all this, I was exactly where you might be - a college student figuring out how to break into tech.
What I bring to the table:
- 2.5+ years building production software (Flutter + Django + AI/LLM systems)
- Currently teaching LLM Engineering & GenAI (Python, PyTorch, LangChain, RAG, Agents, Fine-tuning, Production)
- 800+ LeetCode problems solved - I know what it takes to crack placements
- Hands-on with the full GenAI stack: LangChain, LangGraph, RAG, vector databases, fine-tuning, agents, MCP
I can help you with:
- Cracking placements (DSA roadmap, mock interviews, resume building)
- Building real AI/LLM projects for your portfolio
- Understanding the GenAI landscape and how to position yourself
- Code reviews and architecture guidance
- Career direction - full-stack, AI/ML, or something else
Think of me as a senior who's walked the path recently and wants to help you skip the confusion I went through.
- Gangothri Darsi - Software Engineer | AI/ML & Full-Stackhttps://gangothridarsi.vercel.app

- 800+ LeetCode Problemshttps://leetcode.com/gangothrid528
- Open-Source AI Projectshttps://github.com/darsigangothri06