Large Language Models
Fine-tuning, quantization, local inference with Ollama & vLLM, context engineering, evals, and production RAG pipelines that actually work on messy data.
Private 1-on-1 mentorship with a Lead Data Scientist at HP Inc. Learn exactly what's shipping in production today — LLMs, Multi-Agent Systems, RAG, MCP, and Quantitative Trading.
Lead Data Scientist · HP Inc.
Eleven years in engineering, seven of them in data science. I lead five engineers at HP Inc. building multi-agent systems over enterprise data warehouses, and before that shipped vision, diffusion and voice systems into retail, manufacturing and ecommerce. M.Tech in AI/ML from NIT Warangal; TensorFlow- and PyTorch-certified. The gap between what tutorials teach and what industry actually uses is enormous. I bridge it.
Fine-tuning, quantization, local inference with Ollama & vLLM, context engineering, evals, and production RAG pipelines that actually work on messy data.
Agent architecture, Model Context Protocol (MCP), tool use, orchestration patterns, memory, and scaling multi-agent conversations without losing coherence.
Feature engineering for time-series, deep reinforcement learning strategies, backtesting frameworks, and building signals that survive live markets — not just curves.
What's actually on your résumé vs. what companies want. Data pipelines, feature stores, MLOps basics, experiment design, and communicating results to non-technical stakeholders.
Most courses explain a topic once, then expect you to code it. That's why people forget 80% by the next class. I flip it. You read the material at home. You explain it to me. I correct what's wrong and show the right mental model. Same cycle for code.
A focused topic or paper. One thing at a time. Expected reading: 30–60 minutes.
You study it actively — take notes, form your own understanding, write your own explanation.
Next class, you teach it back to me. The moment you stumble, we've found what to fix.
I patch the gaps, show the industry mental model, and connect it to what you already know.
You write the code. I review. Same loop — you attempt, I correct, you refine until it's production-grade.
This isn't about the money. It's the kick of changing one career at a time.
A live cohort class splits the instructor across 30+ students. You get the full hour, every session.
Serious students finish fast. Others go deeper. No artificial deadlines — only real skill gained.
Strong in Python but weak at system design? We spend 80% there. No wasted classes on things you already know.
Choose 1:1 or share the experience with a friend. Either way, you get the same depth.
Full attention. Built entirely around your gaps, goals and speed.
Bring a friend or colleague. Same depth, split cost. Max 2 students per batch.
No contracts. Month-to-month. Pause whenever life gets busy — we pick up where we left off.
I only take on students I can genuinely help. Fill this out — if there's a fit, you'll hear from me within 48 hours with next steps, a short call, and a plan.