
AI/ML Engineer | Ex-Amazon | Masters in Computer Science
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AI engineer with experience building cloud-based systems, data & ML pipelines, CI/CD/MLOps, data analysis & model building and applied research. I have worked in marketing tech, AI (Amazon Alexa) and advertising tech in the US. And I've studied at top ranked schools & programs in the US and India (University of California; BITS, Pilani; IISc, Bangalore). All of my roles have involved deep work in solving business-critical problems. I'm actively looking for data science roles in Canada or US remote.
University of California, Riverside
Master's Degree, Computer Science
September 1, 2013 – April 1, 2015
Birla Institute of Technology and Science, Pilani - Goa Campus
Dual degrees, M.Sc. Physics and B.E. Electronics & Instrumentation Engineering
August 1, 2005 – June 1, 2010
Delhi Public School, Dwarka
CBSE AISSCE, School rank 1 in Computer Science 12th grade board exam
June 1, 1998 – March 1, 2005
Indian Institute of Science (IISc)
Postgraduate Student - AI & MLOps
August 1, 2024 – July 1, 2025
Bengaluru, Karnataka, India
Career Break
Career transition
October 1, 2019 – August 1, 2023
India & Canada
Beeswax
Software Engineer, Optimization
April 1, 2019 – September 1, 2019
New York, New York
Beeswax
Backend Software Engineer
July 1, 2017 – March 1, 2019
New York, New York
Amazon
Software Engineer, Alexa Language Technologies
October 1, 2016 – July 1, 2017
Seattle, Washington
Lithium Technologies
Research Engineer
April 1, 2015 – October 1, 2016
San Francisco, California
Amazon
Software Engineer Intern
June 1, 2014 – September 1, 2014
Seattle, Washington
University of California, Riverside
Graduate Student Researcher
January 1, 2014 – March 1, 2015
Greater Los Angeles Area, California
iRunway
Associate
October 1, 2011 – July 1, 2013
Bengaluru, Karnataka
Mu Sigma
Business Analyst
August 1, 2010 – February 1, 2011
Bengaluru, Karnataka
STMicroelectronics
Project Trainee
July 1, 2009 – June 1, 2010
National Capital Region, India
Center for Entrepreneurial Leadership, BITS Pilani - Goa Campus
Co-Founder
October 1, 2006 – May 1, 2009
Goa, India
Droplet routing in Digital Microfluidics chips
October 1, 2014 – December 1, 2014
Implemented basic and prioritized A* routers and compactors [Bohringer 2006] within the UCR Digital Microfluidic Static Synthesis Simulator Framework.
Chirp - A Twitter-like workload generator.
February 1, 2014 – June 1, 2014
Chirp is designed to generate benchmarks that approximate the workload that Twitter's infrastructure handles. While it is easy to obtain write workloads for internet-scale systems, it is often not easy to obtain the read workload. This is Chirp's contribution. Chirp is used to simulate reads on primary and secondary attribute values for benchmarking the performance of a key-value store that we are developing at UCR. We use Chirp in addition to the YCSB.
Efficient Secondary Indexing on Key-Value Stores
October 1, 2013 – March 1, 2015
Designed and developed novel secondary indexing techniques for LSM tree based key value stores that utilize: - Lightweight bloom filter embedded indices, - Lazy and Eager update variants of stand-alone indices Also generated extensive experimental results that characterize the trade-offs between the three indexing techniques for various workloads.
Business and Sales Leadership
Kraftshala
June 27, 2026 – Present
Product Management
ISB Executive Education
June 27, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across research, software engineering, and data science roles, including a career break for upskilling, suggests a strong drive for continuous learning and adaptability. Their involvement in academic research projects and contributions to open-source-like tools (Chirp) indicate a collaborative and innovative spirit. The transition into AI/MLOps aligns with modern data-driven cultures. However, the target role of 'Data Analyst' might be a slight mismatch given their extensive senior software engineering and ML systems experience, which often leans more towards Data Scientist or ML Engineer roles. While they possess the analytical skills, the depth of their engineering background might be underutilized in a purely analyst role.
Soft Skills & Operational Fit
The candidate's experience at iRunway as an Associate, managing teams and projects, indicates strong leadership, project management, and client engagement skills. Their role as a Co-Founder at CEL also highlights initiative and organizational capabilities. The career break and subsequent certifications demonstrate a proactive approach to skill development and career transition, suggesting adaptability and a growth mindset. The description of building end-to-end ML systems and mentoring junior engineers at Beeswax further supports operational fit for senior roles.