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Director of Engineering at Twilio
Hands on engineering leader specializing in artificial intelligence and machine learning, with extensive experience building and scaling high-performance teams and systems across Applied AI Research, ML Ops and Product Engineering. Currently leading CustomerAI initiatives at Twilio, where I drive the development of predictive and generative AI products that transform how businesses engage with their customers enabling 1:1 personalization at scale. Throughout my career, I've successfully delivered 0 to 1 AI platforms and products across diverse domains from software to high frequency trading. I'm passionate about bridging the gap between AI research and real-world applications, consistently focusing on creating practical, useful and scalable platforms and products that deliver tangible business value.
Indian Institute of Technology, Kanpur
Bachelor of Technology (B.Tech.), Computer Science
January 1, 2008 – January 1, 2012
Twilio
Director of Engineering
June 1, 2022 – Present
New York City Metropolitan Area
Iterable
Engineering Manager
June 1, 2019 – June 1, 2022
qplum
Head of Machine Learning & Quant Research
February 1, 2018 – April 1, 2019
DV Capital - Global High Frequency Trading Firm
Head of Algorithmic Trading, Partner
June 1, 2015 – February 1, 2018
DV Capital - Global High Frequency Trading Firm
Algorithmic Trader - High Frequency Trading
June 1, 2012 – June 1, 2015
University of Toronto
Research Assistant
May 1, 2011 – July 1, 2011
Toronto, Canada Area
Introduction to Big Data with Apache Spark
edX
June 24, 2026 – Present
Scalable Machine Learning
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning high-frequency trading, digital asset management, and customer engagement platforms (Twilio, Iterable). This breadth of experience suggests adaptability and an ability to thrive in varied technical and business environments. Their leadership roles in building and scaling AI teams align well with organizations focused on innovation and data-driven product development. The transition from quantitative finance to applied machine learning in customer-facing products demonstrates a versatile skill set. However, the target role of 'Data Analyst' seems to be a significant step down from their current and past leadership roles, which might indicate a mismatch in career aspirations or a desire for a very specific type of analytical work. This could be a potential cultural fit concern if the role does not offer sufficient scope for their extensive leadership and strategic experience.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, team management, and strategic planning skills through their roles as Director of Engineering, Engineering Manager, and Head of Machine Learning. Their experience in liaising with stakeholders and presenting research indicates strong communication and collaboration abilities. The focus on delivering measurable business outcomes suggests a results-oriented and pragmatic approach. However, without specific psychometric or English test results, a direct assessment of work attitude, stress handling, and team collaboration is not possible.