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Accepting 2 new students this cohort

Industry-grade Data Science, taught like a coach — not a lecturer.

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.

₹10,000
starting /month
1 : 1
or batch of 2
8–10 hrs
per student /month
classes /week
About your mentor

Built in production. Teaching from the trenches.

Kundan Singh Sorout

Kundan Singh Sorout

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.

3
classes per week
30+
minutes per class
1 : 1
individual focus
100%
industry-grade content
What we build together

Four tracks. All grounded in what ships in production today.

Large Language Models

Fine-tuning, quantization, local inference with Ollama & vLLM, context engineering, evals, and production RAG pipelines that actually work on messy data.

  • RAG
  • vLLM
  • Ollama
  • Evals
  • Fine-tuning

Multi-Agent Systems

Agent architecture, Model Context Protocol (MCP), tool use, orchestration patterns, memory, and scaling multi-agent conversations without losing coherence.

  • MCP
  • Orchestration
  • Tool Use
  • Memory

Quantitative Trading

Feature engineering for time-series, deep reinforcement learning strategies, backtesting frameworks, and building signals that survive live markets — not just curves.

  • Deep RL
  • Backtesting
  • Signals
  • Risk

Industry Data Science

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.

  • Pipelines
  • MLOps
  • Experiments
  • Stakeholders
The method

Coach, not lecturer. You read first — I correct second.

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.

  1. 01

    I assign

    A focused topic or paper. One thing at a time. Expected reading: 30–60 minutes.

  2. 02

    You read & absorb

    You study it actively — take notes, form your own understanding, write your own explanation.

  3. 03

    You explain back

    Next class, you teach it back to me. The moment you stumble, we've found what to fix.

  4. 04

    I correct & reframe

    I patch the gaps, show the industry mental model, and connect it to what you already know.

  5. 05

    You implement

    You write the code. I review. Same loop — you attempt, I correct, you refine until it's production-grade.

Why this works for working professionals

This isn't about the money. It's the kick of changing one career at a time.

8–10 focused hours/month on you alone

A live cohort class splits the instructor across 30+ students. You get the full hour, every session.

Your pace, not the syllabus's

Serious students finish fast. Others go deeper. No artificial deadlines — only real skill gained.

Targeted at exactly your gaps

Strong in Python but weak at system design? We spend 80% there. No wasted classes on things you already know.

Pricing

Simple. Monthly. No lock-in.

Choose 1:1 or share the experience with a friend. Either way, you get the same depth.

Solo

1-on-1 Mentorship

Full attention. Built entirely around your gaps, goals and speed.

15,000 / month
  • 3 private classes per week
  • 30+ minutes each — no hard cap
  • Reading + implementation review
  • Curated resources & code reviews
  • Pace set entirely by you
Apply

No contracts. Month-to-month. Pause whenever life gets busy — we pick up where we left off.

Apply

Tell me about you.

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.

  • Replies within 48 hours
  • No spam, ever
  • Free 20-minute intro call if we're a fit

Your details go straight to my inbox. I read every message myself, and I never share or sell an address.