Developed predictive models such as driving time, delivery time, picking time etc using various machine learning algorithms and techniques such as gradient boosting trees, neural networks, and ensemble methods.
Built machine learning pipelines that enables easier/faster training, data preparation, deployment, monitoring etc.
Implemented cost-effective features to enhance marketplace efficiency in order fulfillment.
Software Engineer III, YouTube Search
Google
Mountain View, CA
01.2021 - 05.2022
Developed an embedding-based clustering algorithm to eliminate redundant suggestions and avoid displaying similar options to users.
Created a dev tool for efficient testing by replicating production traffic to the development server.
Improved quality of personalized suggest features along with coverage.Enhanced personalized suggestions for improved quality and coverage.
Software Engineer II, Tech Lead, Mixed Reality
Microsoft
Redmond, WA
12.2019 - 01.2021
Enhanced eye tracking pipeline through DNN and CNN solutions for image classification and object detection.
Built GPU cluster infrastructure for effortless creation and training of extensive datasets and large models with a few simple commands.
Created tools, including framework converters, Docker images, and distributed training support.
Software Engineer II
Cisco
San Jose, CA
12.2018 - 12.2019
Developed features for Nexus 9k switches, including VLAN management, Ethernet port management, port channel management, virtual port channel management, and tunnel management.
Industrial IoT Software Intern (CV + DL)
Schlumberger
Menlo Park, CA
05.2018 - 08.2018
Design of innovative applications for Industrial IoT, leading new technology adoption, prototyping and validating industrial solutions incl. Intelligent Gateways, Edge processing, Machine Learning, Deep Learning, Computer Vision etc...
Worked on implementing Deep Learning Algorithms like Object Detection (YOLO, SSD-MobileNet) and Image Classification (GoogleNet, AlexNet, SqueezeNet) using TensorFlow and Caffe at the edge with devices like Intel Movidius, AWS Deep Lens.
Education
MBA -
University of Illinois Urbana Champaign
Urbana, IL
05-2024
Master of Science - Computer Science
University of Southern California
Los Angeles, CA
12.2018
Bachelor of Technology - Computer Science And Engineering
Vellore Institute of Technology
Chennai, India
05.2017
Skills
Python, C, C, Tensor flow, Keras, PyTorch, Machine Learning, Deep Learning, Caffe, ONNX, OpenCV, Internet of Things(IoT), Docker, MQTT, SQL