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AIML at Apple
Seasoned hands-on engineering leader with deep expertise and multiple years of academic and industry experience in the four pillars of modern-day AI-powered and data-intensive applications and in delivering them into production: - Algorithms and Science: Generative AI, LLMs, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Text Mining, Information Retrieval, Big Data, Search and Recommendations, Personalization. - Scalable Engineering: Distributed Systems, Fault Tolerance, Scalable Architectures, Performance, High Throughput Services, Data Platforms and Pipelines, Search Engines, SQL and NoSQL Databases, Vector Databases, RAG pipelines. - Product Design: Keen eye on UI design and workflows with an emphasis on the harmonious blending of multiple input modalities (eg: using text input along with voice and a visual interface) in AI-powered and data-driven applications. - Human Computing: Practical experience in crowdsourcing and leveraging human intelligence in collecting training data at scale for building AI models and using human expertise in complementing algorithms and models in production. Other Specialties: - Leadership: Building great teams, hiring talent (was recognized as a “bar raiser”), mentoring managers, engineers, architects, data scientists and fostering a culture of innovation and productivity among them. - Engineering Processes: Experienced in instituting processes from the ground-up for build, deploy, continuous integration, experimentation and all aspects of testing including the often gnarly task of testing AI and data-intensive applications. - Excellent oral and written communication skills: Have authored multiple papers and patents. Have delivered highly regarded talks, seminars and presentations (have coached others as well). I’m also a published novelist: https://www.amazon.com/School-Athens-Aswath-Ma
Stanford University
Master of Science (MS) with Distinction in Research, Computer Science
January 1, 2004 – January 1, 2006
University of Illinois Urbana-Champaign
Bachelor of Science (B.S.), Computer Science
January 1, 2000 – January 1, 2004
University of Illinois Urbana-Champaign
Bachelor of Science (BS), Electrical Engineering
January 1, 2000 – January 1, 2004
Altrova
Founder and CEO
June 1, 2023 – Present
Apple
Product Engineering Leader, Siri XR (AIML organization)
August 1, 2019 – May 1, 2023
Cupertino, California, United States · On-site
Roblox
Director, Search, Discovery, Data Engineering and Machine Learning Infrastructure
June 1, 2015 – August 1, 2019
San Mateo
CrowdMull
Co-founder and Chief Data Architect
June 1, 2014 – June 1, 2015
San Francisco Bay Area
C3DNA
Engineering, R&D, Product Design
June 1, 2014 – January 1, 2015
San Francisco Bay Area
Walmart Labs
Principal Engineer
September 1, 2012 – June 1, 2014
San Francisco Bay Area
Amazon
Software Development Engineer
August 1, 2006 – August 1, 2012
Seattle
Intel
Engineering Intern
June 1, 2005 – June 1, 2006
Stanford University
Graduate Research Assistant
September 1, 2004 – June 1, 2006
Stanford University
Undergraduate Research Student
May 1, 2003 – June 1, 2004
University of Illinois at Urbana-Champaign
Undergraduate Research Student
May 1, 2002 – May 1, 2003
Cultural Fit Analysis
The candidate's diverse experience across large corporations (Apple, Amazon, Roblox, Walmart Labs) and multiple startups (Altrova, CrowdMull, C3DNA) indicates a high degree of adaptability and a broad understanding of different organizational cultures. Their involvement in founding companies suggests a proactive, innovative, and ownership-driven mindset, which aligns well with dynamic and growth-oriented environments. The breadth of roles, from individual contributor to CEO, demonstrates versatility and a willingness to take on varied challenges, contributing to a strong cultural fit for roles requiring both technical depth and strategic vision.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and the ability to build and manage diverse technical teams. Their entrepreneurial background suggests high initiative, problem-solving capabilities, and adaptability. Experience as a 'bar raiser' at Walmart Labs indicates a commitment to talent development and high standards. The candidate's roles at Apple and Amazon highlight an ability to operate in highly competitive and demanding environments, delivering impactful, cross-functional projects.