Tech professional with 8+ years of engineering experience — from building full-stack systems to leading engineering teams. Currently exploring the frontier of Data Science, AI, and Marketing Analytics, focusing on how machine learning can transform ad spend decisions in e-commerce and quick commerce.

I come from the engineering side. I've led teams, shipped production code across multiple stacks, and built systems at scale. Now I'm investing deeply in the data science and ML methods that sit behind better marketing decisions — Bayesian MMM, contextual bandits, uplift models, and incrementality testing.

"The biggest gap isn't technology. It's the bridge between people who understand the business context and people who understand the ML methods. That's the role I'm building toward."

AtTheRate.ai · Full-time | Dec 2024 – Feb 2026 · 1 yr 3 mos | Singapore

Leading engineering strategy and team development at AtTheRate.ai, an AI-powered marketing analytics platform serving agencies and brands globally. Overseeing the entire engineering organization — architecture decisions, hiring, delivery, and technical roadmap.

Tech Lead | Feb 2023 – Nov 2024 · 1 yr 10 mos | Pune District, Maharashtra, India

• Led full-stack and cloud development with a focus on VueJS and NodeJS
• Drove 30% boost in system performance through architecture redesign and best practices
• Implemented code review processes that markedly enhanced code quality across projects
• Technical leadership over cross-functional engineering teams

Senior Software Engineer | Jun 2022 – Feb 2023 · 9 mos | Malaysia

FlixStock · Full-time | Jun 2021 – Jun 2022 · 1 yr 1 mo | Delhi, India

Canopy · Full-time | Mar 2021 – Jun 2021 · 4 mos | Singapore

Associate Software Engineer | Jan 2019 – Feb 2021 · 1 yr 2 mos | Indore, India

Associate Software Engineer Trainee | Jul 2018 – Jan 2019 · 7 mos | Madhya Pradesh, India

Salesforce Developer Intern | May 2018 – Jul 2018 · 3 mos | Madhya Pradesh, India

Engineering & Architecture

Data Science & Marketing Analytics

Leadership Skills Technical Leadership People Management Systems Design Project Management Coaching & Mentoring Engineering Strategy

• Marketing Mix Modeling (MMM) — Bayesian approaches (PyMC-Marketing, Robyn, Google Meridian) for multi-channel budget attribution
• Contextual Bandits — ML-driven bid optimisation for retail media auctions
• Incrementality Testing & Geo-Experiments — Causal inference for measuring true ad impact
• Reorder Prediction Models — Using quick commerce data signals to predict consumer behaviour
• LLM-based Applications — Agentic workflows for interactive commerce

Writing regularly on ML and marketing. Recent topics:

• Why A2S is a margin problem disguised as a media problem
• East India's 343% darkstore growth — a first-mover CAC opportunity
• Contextual bandits: the ML concept most applicable to retail media bidding
• Last-click attribution vs. MMM — why brands are measuring wrong
• The Planner vs. Impulse Buyer split in Indian e-commerce

Follow on LinkedIn for weekly insights on ML x Marketing

"An exceptional professional. His expertise in React and Node.js and his ability to solve complex problems were truly impressive. Consistently demonstrated a strong work ethic and a genuine passion for his work." — Devesh Lashkari, Full-Stack Engineer & Team Lead

"Within 3 months of joining as an intern, he proved himself and joined as a full-time employee. Sourabh proved himself to be an asset to the company." — Priyanka Manjariya, CPO at Metafic | Keynote Speaker

• Member of Student Council · JECRC University (Aug 2016 – Apr 2017)
• Volunteer · JU Rhythm 2016 · JECRC University · Animal Welfare