Testimonials

  • Pinned
    Very good trainer. Content quality is very clear, well explained. Keeping the session engaging.
    Multiple students, LLM Engineering Masterclass
  • Pinned
    Amazing Mentor. Provided Valid Suggestions on the topic we discussed. Kudos
    Arjun M

Services

Priority DM . 3 days reply
FREE
Video meeting . 20 mins
199
Video meeting . 30 mins
5
299
Popular
Video meeting . 45 mins

Mock Interview - DSA

I'll run a realistic DSA coding interview with you
399
Video meeting . 45 mins

Project Guidance - AI/LLM/RAG/Agents

Want to build a GenAI project for interviews?
449
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
699897
Digital Product

GenAI Engineer Roadmap 2026 (FREE PDF)

A practical guide to become a production-ready LLM engineer.
FREE
Popular
Video meeting . 30 mins

Interview Prep & Tips

Have an interview coming up? Let's make sure you're ready.
299
Video meeting . 30 mins
349
Video meeting . 45 mins

Mock Interview - AI/ML & GenAI

Targeting AI/ML or GenAI roles?
399
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
599798
Best Deal

Ratings and feedback

5/5
1 ratings
1
Testimonials

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.