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Principle Engineering Manager, Efficient AI Team, STMicroelectronics
With a mission to "Make AI accessible and affordable to benefit everyone's daily life", Deeplite is developing the AI-driven optimizer & runtime to make neural networks faster, smaller, and, energy-efficient from cloud to edge computing. As the VP of Engineering at Deeplite, I lead the engineering team, contribute in the applied research, and manage customer engagements. My current applied research interests are around model compression, quantization (ultra low bit quantization), hardware-aware model optimization, and edge AI runtimes (tvm, tflite etc). I am a hands-on technology leader with a unique blend of technology and business expertise (having a Ph.D. in Computer Science and an executive MBA in general management). I have over a decade experience of working with ML and computer vision and more than 6 years of experience with cutting-edge deep learning models. I have worked in both the research and the development set up ranging from large corporations like Samsung, and SK Telecom to startups like EyeEm, AIBrain, and Deeplite. I possess good research skills, a problem-solving attitude, and application development experience using Python, C/C++. I also possess good GPGPU parallel programming skills for writing optimized parallel codes. I have led research teams to work on new technologies and/or develop new solutions for customers. Apart from focussing on the technical side, I have also worked on spreading the culture of innovation in a company that includes paper writing, patent filing, managing innovation competitions, etc. I have filed for multiple patents in India, Europe, Korea, and the US. I am passionate about catching up with upcoming technologies which can be seen in my CV as I have worked on different types of problems using upcoming technologies.
Quantic School of Business and Technology
EMBA, Business Administration
January 1, 2018 – January 1, 2020
Symbiosis Institute of Computer Studies and Research
Doctor of Philosophy (Ph.D.), Computer Science, Compiler and Scheduler Design for Multicore Processors using Machine Learning
January 1, 2009 – January 1, 2015
Indian Institute of Technology, Delhi
M. Tech, Instrument Technology
January 1, 2003 – January 1, 2005
Swami Ramanand Teerth Marathwada University
B.E., Engineering
January 1, 1998 – January 1, 2002
St. Xavier's College
SSC, Science
January 1, 1994 – January 1, 1996
St. Aloysius School, Ranchi
HSC
January 1, 1985 – January 1, 1994
STMicroelectronics
Principle Engineering Manager, EfficientAI
March 1, 2021 – Present
Toronto, ON · Hybrid
Deeplite (Acquired by STMicroelectronics)
Co-founder & VP Engineering
February 1, 2021 – April 1, 2025
Toronto, Ontario, Canada · Hybrid
SK Telecom
Team Leader, Vision AI Labs
December 1, 2019 – February 1, 2021
SK Telecom
Team Leader, Tech Prototyping Group, AI Center
December 1, 2018 – December 1, 2019
SK Telecom
Manager | Researcher, AI Research Center
September 1, 2018 – December 1, 2019
AIBrain, Inc.
Director Of Technology
July 1, 2018 – September 1, 2018
AIBrain, Inc.
Manager, AI & ML
February 1, 2018 – June 1, 2018
EyeEm
Deep Learning/Computer Vision Engineer
July 1, 2017 – January 1, 2018
Berlin Kreuzberg, Berlin, Germany
Samsung SDS
Principle Engineer
November 1, 2012 – July 1, 2017
Seoul, South Korea
KPIT Cummins Infosystems Limited
Sr. Scientist
June 1, 2011 – November 1, 2012
KPIT Cummins Infosystems Limited
Scientist
April 1, 2010 – June 1, 2011
KPIT Cummins Infosystems Limited
Jr. Scientist
April 1, 2009 – March 1, 2010
KPIT Cummins Infosystems Limited
Sr. Research Associate
September 1, 2007 – March 1, 2009
KPIT Cummins Infosystems Limited
Research Associate
March 1, 2006 – August 1, 2007
TCS Bangalore
Asst Systems Engineer
June 1, 2005 – February 1, 2006
Cultural Fit Analysis
The candidate has a diverse professional background, working in various companies from large corporations (Samsung SDS, SK Telecom, STMicroelectronics) to startups (Deeplite, AIBrain, EyeEm). This breadth of experience suggests adaptability to different organizational cultures and work environments. Their involvement in research, patent filing, and spreading innovation culture indicates a strong alignment with a culture of continuous learning and advancement. However, the project descriptions are limited, making it difficult to fully assess collaboration styles or specific cultural preferences beyond a general drive for innovation and leadership.
Soft Skills & Operational Fit
The candidate's career progression from Research Associate to Principle Engineering Manager, including co-founding a startup, demonstrates strong leadership, strategic thinking, and an entrepreneurial mindset. Their experience in leading teams and managing product development indicates good operational fit and the ability to drive projects from research to deployment. The descriptions suggest a proactive approach to technology sensing and innovation.