Director of Engineering (Generative AI Products) at C3.AI
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I enjoy building and managing AI focussed teams and projects. My current focus is using Generative AI technology to accelerate document indexing and search.
Carnegie Mellon University
Master's degree, Information Technology
January 1, 2014 – January 1, 2015
University of Mumbai
B.E., Electronics and Telecommuncation
January 1, 2004 – January 1, 2008
C3 AI
Director of Engineering
May 1, 2025 – Present
Redwood City, California, United States · On-site
C3 AI
Senior Software Engineering Manager
June 1, 2024 – May 1, 2025
Redwood City, California, United States · On-site
C3 AI
Software Engineering Manager
July 1, 2022 – June 1, 2024
Redwood City, California, United States · On-site
InterDigital, Inc.
Software Engineering Manager
September 1, 2020 – June 1, 2022
Palo Alto, California, United States
InterDigital, Inc.
Senior Machine Learning Engineer
June 1, 2019 – September 1, 2020
Palo Alto, California, United States
Technicolor
Project Lead & Machine Learning Engineer
December 1, 2015 – June 1, 2019
Los Altos, CA
JPMorgan Chase
Associate
July 1, 2013 – July 1, 2014
Mumbai Area, India
SlateBot Technologies
Founder
January 1, 2012 – June 1, 2013
Mumbai Area, India
Swayam (Social Venture)
Co-founder (Advertising)
March 1, 2009 – February 1, 2011
Mumbai Area, India
Nomura
Senior Developer
July 1, 2008 – October 1, 2011
Mumbai, Maharashtra, India
Applied Face Recognition on the Edge
August 1, 2017 – Present
- Neural Net based face recognition on resource restricted devices. - Technology: TensorFlow inference on Android devices. - Evaluate training on Android devices.
VFX Predictive Analytics
December 1, 2016 – Present
SIGGRAPH 2017 talk about this project: From VFX Project Management to Predictive Forecasting (http://s2017.siggraph.org/talks/sessions/pipe-dreams) - Predict overspending on VFX projects - VFX artist analytics - Performance analytics
Machine Learning pipeline
February 1, 2016 – Present
Built a tool for data science team to perform the following tasks: - Read data from multiple sources (JSON file/Database) to create standardized test/train/valid datasets. - Ability to add custom features to these datasets at run-time. - Train the dataset (Regression and Classification tasks) across multiple Scikit-learn models like Random Forest, SVM, Decision Trees, Gradient Boosted, KNN etc. - Report metrics like F1, Accuracy score, R2 score etc in a leader board.
Proof Of Co-Presence Using Images
September 1, 2015 – December 1, 2015
- Research and develop a proof of concept to demonstrate the ability to prove co-presence of devices/vehicles using images. - Adapt and improvize existing Image similarity algorithms to achieve greater accuracy - Evaluate the security challenges and integrate a solution to perfom digital forensics on images to detect spoofing/superimposition of images.
NoMongo - A Visual Mongo Querying tool
June 1, 2015 – Present
I developed a web dashboard to easily apply filters, aggregate and visualize data from NoSQL data storage systems.
Cura - Patient Care Health Management System
January 1, 2015 – April 1, 2015
- Developed a health care management system which collects data from various wearables devices and visualize them on a web/mobile based dashboard - As a part of the Wearables team, built an Android application which runs a data collection service which collects data from wearables devices like Zephyr Bioharness 3, iHealth (BP & SPO2), Withings Pule Oxymeter devices and send it to the database server. - As a part of Dashboard team, developed a web based dashboard using ionic platform and AngularJS to develop visualization of the collected data using d3js
Plugload Monitor Dashboard
September 1, 2014 – Present
Replace licensed data visualization library with open source library Dimple.js/D3.js. Re-implement webservice using Django.
Twitter Dataset Analysis
August 1, 2014 – Present
Use Amazon EMR to derive trends. Processed over 1TB dataset using Amazon MapReduce (Hadoop).
Release Management Tool
January 1, 2014 – Present
Design the schema for data storgae in Sybase and MongoDB. Develop the front-end using Jquery and Bootstrap. Implement back-end service in Node.js using Sails.js MVC framework.
Performance Analysis Tool
January 1, 2014 – Present
Implement back-end in Node.js Develop schema in MongoDB. Implement front-end using Boostrap and Jquery. Used Dimple.js/D3.js framework for data visualization.
Lighthouse Suite
January 1, 2012 – Present
Android App - Webservice - Client Dashboard. Storyboard the Android App and Client dashboard. Develop webservice in PHP
Sensor Fusion Nanodegree Program
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background, including startup experience (Founder, Co-founder) and roles in large corporations (JPMorgan Chase, Nomura, C3 AI). The progression from individual contributor to Director of Engineering at C3 AI shows ambition and growth. The variety of projects, from web development to deep learning and data analysis, indicates adaptability and a broad interest in technology. However, the target role is ML Engineer, and while the candidate has strong ML experience, the recent focus on management might require a re-evaluation of their desire for a purely individual contributor ML Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team management, and product roadmap prioritization skills. Experience in hiring and unblocking engineers suggests good operational fit. The descriptions of managing large teams and driving product initiatives indicate strong communication and collaboration abilities, crucial for a senior role.