Rohit A.

ML/AI @ Coinbase

About

I’m an engineering leader focused on driving org-level impact through high-leverage systems and technology adoption. At Coinbase, I led efforts to bring AI into the core of how engineering teams operate. I started by leading AI Acceleration across the organization—identifying high-impact use cases and driving adoption of AI-assisted workflows across engineering. As this work scaled, I transitioned to lead the AI Platform team, building the infrastructure and systems needed to operationalize these capabilities across the company. This experience reinforced a core focus of mine: Helping organizations adopt new paradigms (like AI) and translating them into scalable systems, teams, and workflows. My background includes deep experience in algorithms and systems (PhD in wireless communications), which I’ve applied across distributed systems, ML, and large-scale infrastructure at companies like Google and Qualcomm. I’m now focused on Director-level opportunities where I can: Drive large-scale engineering initiatives across teams Lead organizations through technology shifts (AI, ML, platform evolution) Build and mentor high-performing teams and leaders Deliver measurable improvements in engineering velocity and effectiveness

Country

India

City

Bengaluru

Industry

Computer Software

Skill

Software Development, Python (Programming Language), C (Programming Language), Data Structures, R, Python, Machine Learning, Data Science, Wireless, Algorithms, Matlab, Signal Processing, Electrical Engineering, LaTeX, Research, Simulations, Digital Signal Processors, Mobile Devices, UMTS, LTE

Experience

ML/AI

Coinbase

2024-6 - Present · 2 yrs 4 mos

Bengaluru

AI Acceleration & AI Platform - Led AI adoption across engineering, driving initiatives that integrated AI-assisted workflows into day-to-day development practices - Identified and executed on high-leverage opportunities to improve engineering productivity using AI - Influenced engineering teams and leadership to adopt new tools, workflows, and ways of working - Built and led the AI Acceleration team, focused on enabling org-wide adoption of AI capabilities - Transitioned to lead the AI Platform team, owning systems required to scale and operationalize AI usage across the company - Partnered with senior engineering leadership to align AI initiatives with company priorities and drive cross-team execution - Played a key role in shaping how AI is incorporated into engineering workflows and long-term platform strategy

Technical Lead

Google

2021-8 - 2024-7 · 3 yrs

Mountain View, California, United States

Lead for brand lift using surveys on multiple directions - infrastructure, measurement quality, UX experimentation, and scalability. The product works on xBillion of ads each day, and touches $xxB in annual revenue.

Technical Lead

Google

2020-2 - 2021-7 · 1 yr 6 mos

Mountain View, California, United States

Led E2E ML model design and implementation for ads format quality improvements, modeling improvements to better predict impression blindness and click blindness costs when auctioning ad space to different advertisers.

KaggleX mentor

Kaggle

2023-7 - 2023-9 · 3 mos

Mountain View, California, United States

Mentored students looking to transition to Machine Learning/AI fields of work.

Data Science Manager

Bidgely

2016-5 - 2020-1 · 3 yrs 9 mos

Mountain View, CA

Expanded and led data science team to develop algorithms for Energy disaggregation, Recommendation engine, utility bill forecasting, projections for grid optimization, and anomaly detection. Other efforts included: - Hired full-time & part-time data scientists to develop patentable ML solutions. - Expansion of patent portfolio - Representation of company in client sales meeting

Senior Design Engineer

Qualcomm

2012-6 - 2016-5 · 4 yrs

Santa Clara

Lead of various LTE algorithm 4G design improvements and oversee chip bringups. Increased throughput via more efficient channel state feedback, and processing speeds by 16x. Increased throughput of LTE modems by 1.5x.

Graduate Teaching Assistant

The Ohio State University

2008-9 - 2012-6 · 3 yrs 10 mos

The Ohio State University, Columbus, OH

Designed a new course with 11 hands-on practical wireless communication experiments for undergraduate students. Co-authored the lab manual with Dr. Lee Potter, (currently Professor at The Ohio State University). Instructed the course for 2 years.

Graduate Researcher

The Ohio State University

2007-8 - 2012-6 · 4 yrs 11 mos

The Ohio State University, Columbus, OH

List of publications are available at https://scholar.google.com/citations?user=XLgnsMsAAAAJ&hl=en Mathematical concepts used - Real Analysis, Bayesian probability analysis, Markov models, non-linear and linear optimization methods, and parameter estimation to design resource allocation algorithms in a variety of network, e.g. P2P, cellular downlink, MIMO and large-scale wireless networks.