Project Playbook

AI/ML teaching, data science practice, and creative communities.

A deeper look at the work I care about. From PW classroom flows to WieDigital scale and creative tech hackathons, these are the stories, numbers, and lessons that shape how I build in public while aiming for applied ML, data science, and engineering roles.

Snapshot

Milestones across AI/ML, data, and community builds

Oct 2019

WieDigital launch

Shipped high-scale Q&A platforms that sparked the learning-ops bug.

Sep 2021

AIforKids community

Opened up creative tech to school students; 45K+ followers today.

Jan 2024

PhysicsWallah faculty

Scaled AI/ML classrooms, pressure-testing the systems I want to ship.

Jun 2024

ML & quant practice loops

Putting in daily reps across ML, stats, and Python to get ready for tech roles.

AI/ML Faculty · PhysicsWallah

Designing learning journeys that keep students shipping

Led AI/ML modules for senior school and college learners across India. Each cohort blended live lectures, guided notebooks, and collaborative practice so students moved from syntax to storytelling— and so I could validate the engineering instincts I want to bring to tech teams.

  • Authored 25+ lesson plans with runnable notebooks and recap videos.
  • Designed evaluation rubrics and auto-graded checkpoints for ML assignments.
  • Ran weekly office hours to debug code, discuss math, and share intuition.

Sample lesson flow

  1. Warm-up: recap + intuition check
  2. Concept introduction with visual notes
  3. Notebook walkthrough & live coding
  4. Breakout project prompt + peer review

Learning Journal

Machine learning and quant practice loops

Focused reps across ML math, probability, and analytics pipelines. I’m building confidence for ML/DS roles through messy notebooks, peer reviews, and steady iteration—no glossy notes yet, just honest practice.

  • Daily problem sets covering statistics, optimisation, and linear algebra.
  • Notebook drills using public datasets to practise preprocessing and evaluation.
  • Peer reading circles and mock reviews with IITM and PW communities.

WieDigital

Scaling knowledge ecosystems for creators and learners

Architected high-traffic Q&A platforms with multilingual support and creator monetisation loops. Focused on reliability, moderation, and analytics that educators trust.

  • Optimised search to serve 5M+ monthly views with lean infra.
  • Built demand forecasting dashboards for content teams.
  • Created automated trust/reputation systems for contributors.

Hackathons & Creative Tech

Pixel Palettes, Drivacy, and beyond

Podium finishes across national hackathons by combining rapid prototyping with accessible storytelling. Projects range from generative art kits to privacy-preserving location sharing.

  • Pixel Palettes: creative tech toolkit with safe prompt flows.
  • Drivacy: zk-powered proof-of-location prototype.
  • E-Auction: transparency platform for student entrepreneurship.

What’s next

I’m looking for roles where applied ML and thoughtful storytelling meet.

If you’re hiring for ML engineer, data science, or AI product roles that value clean experiments, strong documentation, and collaborative learning, I’d love to chat. The work above is the foundation I want to bring to your team.