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Manager, AI Engineering @ Vector Institute | Women in Machine Learning | AI for Good
I am an industry professional with experience in AI applications and I am passionate about utilizing AI techniques to solve real-world problems challenging humankind. At Vector Institute, I am a part of the AI Engineering group. As part of my responsibilities, I lead and manage the development of Vector’s innovative AI software, machine learning reference implementations, build and lead a diverse and highly skilled team of AI developers, and work with researchers to identify promising AI technologies. At SkySpecs, I led the Inspection Vision team that is working on Computer Vision projects to automate and optimize the wind asset maintenance and repair industry. Additionally, I spend some of my spare time volunteering with non-profit initiatives like Women in Machine Learning and AI for Good - Innovate for Impact program.
University of Michigan
MS in Electrical and Computer Engineering, Machine Learning
January 1, 2014 – January 1, 2015
VJTI (Veermata Jijabai Technological Institute)
Bachelor of Technology (B.Tech.), Electronics Engineering
January 1, 2010 – January 1, 2014
Women in Machine Learning
Member Board of Directors
April 1, 2025 – Present
Remote
Vector Institute
Manager, AI Engineering
February 1, 2024 – Present
Toronto, Ontario, Canada
SkySpecs
Engineering Manager, Computer Vision
October 1, 2021 – January 1, 2024
AI for Good Foundation
Council for Good Member
March 1, 2021 – March 1, 2023
Climate Mind
Sr. ML Engineer - Volunteer
November 1, 2020 – September 1, 2021
SkySpecs
Senior Engineer and Growth Lead, AI
October 1, 2019 – September 1, 2021
SkySpecs
Senior Computer Vision and Machine Learning Engineer
March 1, 2018 – September 1, 2019
SkySpecs
Computer Vision and Machine Learning Engineer
March 1, 2016 – February 1, 2018
Intel Corporation
Perceptual Computing Software Intern
May 1, 2015 – August 1, 2015
Chandler, Arizona
Centre of Excellence (CoE) in Complex and Non-Linear Dynamical Systems
Research Intern
June 1, 2013 – July 1, 2013
VJTI
Debate and Literary Arts Society, VJTI
Joint General Secretary
August 1, 2012 – May 1, 2013
Emerson Process Management
Intern
June 1, 2012 – July 1, 2012
3D Feature Learning from High Dimensional Confocal Microscope Images of Prostate Cancer Cells
January 1, 2015 – May 1, 2015
Jointly explored deep learning techniques for feature computation and upgraded a two-layer Convolutional Deep Belief Networks (CDBNs) for learning features of spatially 3D images of malignant and benign cells. These features can be used for cell classification by a feature-based classifier
Analysis of a parallel root-finding algorithm and its implementation on MPI and CUDA
September 1, 2013 – May 1, 2014
The project involved understanding a research paper, proposing a method to solve a univariate polynomial and implementing it on multi-core platform using Message Passing Interface (MPI) protocol and GPUs using CUDA.
Shape-IT
February 1, 2013 – April 1, 2013
An augmented reality application which lets you modify real world objects in the virtual world
Pro-Trak (Progress Tracker)
January 1, 2013 – December 1, 2013
A physiotherapeutic aid for tracking the healing progress of elbow joint fractures. Conceptualized and designed the prototype of an electronic elbow brace that calculates the angular movement of the elbow and displays it on an LCD screen at MIT Media Labs Design Innovation Workshop 2013, Bangalore
Robocon 2012
October 1, 2011 – March 1, 2012
Team Leader of the Electronics section of the Robotics team that represented VJTI in the National Level Robotics Contest – Robocon 2012. Designed a Printed Circuit Board (based on Atmega 32 microcontroller) for the robot using EDA software KiCad Finished 14th in the country.
How Stuff Works : 3D Technology
December 1, 2010 – February 1, 2011
Part of a team that presented on 3D Technology with demonstration of Real-time 3D imaging of the gathered audience in the ‘How Stuff Works’ segment of VJTI's Annual Technical event - Technovanza 11’ and won the 1st prize for it.
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including robotics, augmented reality, and medical imaging, indicates a broad interest and adaptability. Involvement with organizations like 'Women in Machine Learning' and 'AI for Good Foundation' suggests a commitment to community and ethical AI, aligning with a positive cultural fit. However, the target role of 'Data Analyst' is a significant pivot from their extensive ML/CV engineering and management background, which might indicate a mismatch in immediate role alignment, despite a broad skill set.
Soft Skills & Operational Fit
The candidate's experience as a Team Leader for Robocon and Joint General Secretary for a Debate and Literary Arts Society suggests leadership, teamwork, and communication skills. Managerial roles at Vector Institute and SkySpecs further indicate operational fit for leading technical teams. Volunteer work and board memberships suggest a proactive and engaged professional.