Rohit A.

CEO

Bengaluru, Karnataka, India22 yrs 6 mos experience

AI ML PractitionerHighly Stable

Key Highlights

13+ years in ML system design and development.
Led high-performing engineering teams at top tech companies.
Expert in applied mathematical modeling and machine learning.

Stackforce AI infers this person is a Fintech and Machine Learning expert with extensive experience in AI solutions and data science.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Data ScienceElectrical EngineeringSignal ProcessingSoftware Engineering

Other Skills

AI solutionsGenAIAI roadmapschatbotslanguage translationsLLM playgroundinfrastructuremeasurement qualityUX experimentationscalabilityE2E ML model designads format qualitymodeling improvementsEnergy disaggregationRecommendation engine

About

- Engineering leader (x-Google, x-Qualcomm) w/ 13+ years industry experience designing and building ML systems - 10+ years of experience partnering with product and business teams towards 0 to 1 product development - 6+ years of software engineering management experience building and leading high-performing engineering teams - Deep subject matter expertise in machine learning, software engineering, and applied mathematical modeling (probability/statistics) - Passionate about solving large, ambiguous, and important business problems

Experience

22 yrs 6 mos

Total Experience

4 yrs 1 mo

Average Tenure

1 yr 11 mos

Current Experience

Coinbase

ML/AI

Jun 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India · Remote

I lead the AI Accelerator team at Coinbase, tasked with the goal of accelerating AI adoption across the org. We embed growth pods in functions to create AI roadmaps, and then we enable AI growth via developing GenAI solutions and via enabling self-serve growth. Our customers span all enterprise teams, Coinbase customers, and Web3 developer community.
Enterprise teams we have supported are: Customer Service (CX), Compliance, Finance, Legal, Security, UX design, data science analytics, product management, and engineering. Our solutions span search solutions, chatbots, language translations, AI agentic assistants, LLM playground, redaction, and audits.

AI solutionsGenAIAI roadmapschatbotslanguage translationsLLM playground+2

Kaggle

KaggleX mentor

Jul 2023 – Sep 2023 · 2 mos · Mountain View, California, United States

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

Google

2 roles

Technical Lead

Aug 2021 – Jul 2024 · 2 yrs 11 mos · 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.

infrastructuremeasurement qualityUX experimentationscalabilityMachine LearningData Science

Technical Lead

Feb 2020 – Jul 2021 · 1 yr 5 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.

E2E ML model designads format qualitymodeling improvementsMachine LearningData Science

Bidgely

Data Science Manager

May 2016 – Jan 2020 · 3 yrs 8 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

Energy disaggregationRecommendation engineutility bill forecastinganomaly detectionData ScienceMachine Learning

Qualcomm

2 roles

Senior Design Engineer

Jun 2012 – May 2016 · 3 yrs 11 mos · 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.

LTE algorithm designchip bringupschannel state feedbackElectrical EngineeringSignal Processing

Intern at Corporate Research Center

Jun 2009 – Aug 2009 · 2 mos · Greater San Diego Area

The ohio state university

2 roles

Graduate Teaching Assistant

Sep 2008 – Jun 2012 · 3 yrs 9 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

Aug 2007 – Jun 2012 · 4 yrs 10 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.