Machine Learning Engineer
I am passionate about building products that leverage the power of data through machine learning, to enrich user-experiences
About me
Enjoy working with diverse teams, with a focus on data driven problem solving
Building products that matter.
I am interested in designing and building creative solutions with machine learning and data, that can create a positive impact on individuals and the society.
Throughout my career, I worked in several industries ranging from manufacturing, agriculture and the service sector.
I enjoy working with diverse teams that build smart technologies to solve unique challenges.
My Expertises
I started my career as a software engineer with a strong background in Mathematics.
I soon developed a passion for data focused problem solving and went on to pursuse my masters in Machine Learning.
I am a curious learner and I am always on the lookout for projects that can be uniquely solved using data science and machine learning.
MSc. Computational Science and Engineering
Specialization: Machine Learning
Georgia Institue of Technology (Georgia Tech)
MSc. Mathematics
Birla Institute of Technology and Sciences (BITS Pilani)
B.Eng Manufacturing Engineering
Birla Institute of Technology and Sciences (BITS Pilani)
Senior Machine Learning Engineer
GoPuff
MLOps - Developed MLOps infrastructure to deploy multiple models via microservices to facilitate real-time serving.
- Spearheaded the efforts to establish MLOps best practices across the organization and automated the training and deployment of ML models.
ML/Software Engineering - Worked on setting up event-based data pipelines in multiple cloud computing environments (GCP, Azure).
- Built several microservices to host multiple ML models (XGBoost, Pytorch etc).
- Built data-pipelines and dashboards to track model performances and drift detection, in production.
Data Science - Built multiple models to improve the accuracy of the estimate time of arrival predicted by the routing engine
External ML Contributor
Ruumi.io
Ruumi enables farmers to operate productive farms with reduced inputs and lower emissions. This is done by monitoring soil health to provide informed solutions to farmers.
Open source satellite imagery is critical resource for detecting and monitoring soil health. However, satellite images are prone to cloud cover which would render them unusable for such applications.
To solve this challenge, I built a deep learning model to detect and remove clouds in satellite imagery while ensuring image recency and scene accuracy.
Data Scientist
Daimler Mobility Services
Worked in the routing team that developed map data and routing algorithms for the autonomous driving technology developed at Daimler.
Developed machine learning models to predict real time road statistics such as transition or turn costs and speeds. These in-turn contributed toward improving the predicted route quality.
Research Assistant
Georgia Institute of Technology - Center for Spatial Planning Analytics and Visualization
Developed an interactive iOS application for location intelligence and geospatial navigation that is specifically targeted for the visually challenged.
Machine Learning Intern
Uber Technologies, Inc.
Worked in the Fraud detection team where I investigated several machine learning models to identify cases of fraud leading to cancellations.
Main focus of my project during this period was the analysis taxi GPS data to identify patterns of fraud due to GPS spoofings. I then built a supervised machine learning model to automatically detect cases of repeated fraud due to GPS spoofing in the system.
iOS Software Developer
Zoomcar Pvt Ltd
Built and maintained the consumer application that saw over a million active monthly users.
Developed several new features, handled software updates, patches, and bug fixes for time-sensitive projects while considering business requirements
Summer Internship
Indian Institute of Technology, Mumbai
Developed an image processing - windows application for the identification and manipulation of contours in microscopic images.
