CV
Education
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2023-Present -
2021-2024 -
2016-2020 B.Tech. Electronics and Communications Engineering
Manipal Institue of Technology, India
Corporate Experience
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MAY 2024 - AUG 2024 Santa Clara
Deep Learning Intern
NVIDIA Deep Learning Focus Group -
JUN 2022 - AUG 2022 US (Remote)
Machine Learning Engineering Intern
Twitter ML Health Team Info
- End to end development and deployment of a broadly applicable ML model using XGBoost within the account health space
- Boosted Key performance indicators by 74%. Challenges: Data imbalance, feature sparsity, enormous data, data distribution drift
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JAN 2020- JUN 2021 Bangalore, India
Machine Learning Engineer
Hewlett-Packard R&D R&D Data Science Team Info
- Engineered a self-resolution tool for PC issues, with a 3x BLEU score, employing AWD-LSTM and Natural Language Processing.
- Designed and implemented a dynamic troubleshooting tool for printer issues based on Recurrent Neural Networks
- Applied optimization strategies to build hardware-efficient and reliable ML models, including a) identifying performance bottlenecks using CUDA Kernel Profiling with NVIDIA Nsight Systems & Compute and b) examining ML models for bias
- R&D Intern, Machine Learning Team: 01/2020 - 09/2020
Academic Experience
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Since 2021 Blacksburg, VA, US
Graduate Research Assistant
Virginia Tech Kowledge Guided Machine Learning Lab Info
- Constructed an algorithm to detect microscopic bacteria cells with a 95% precision by utilizing artificially generated motion and temporal cues for an NSF funded cancer research project. Challenge: Hard to distinguish from background media.
- Engineered an approach to predict force applied by a human cell on underlying fiber intersections using multi-object detection techniques in Computer Vision like RetinaNet.
- Established a pipeline to convert phased-out microscopic imagery of human cell environment to fluorescent images using Pix2Pix and formulated statistical techniques to quantify the results
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AUG 2021 - DEC 2021 Blacksburg, VA, US
Graduate Research Assistant
Virginia Tech Informatics Lab, University Libraries Info
- Developed a Computer Vision solution to detect plant wilting. Improved performance accuracy by 10% with traditional methods like Support Vector Machines and feature engineering. Challenges: class imbalance, small dataset, images of varying resolutions
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MAY 2019 - JUL 2019 Hyderabad, India
Research Intern
IIIT Hyderabad CVIT Lab Info
- Designed and deployed an object recognition tool on NVIDIA Jetson TX2 board, funded by Defence Organisation (DRDO), India.
- Successfully identified landmarks in aerial imagery also from viewpoints different than trained on, using YOLO and Deep Learning
Honors and Awards
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June 2022 Grace Hopper Celebration Student Scholar Award
Issued by AnitaB.org and Virginia Tech -
Dec 2018 2nd Position at OK Google, Let's Build Hackathon
Women Tech Makers(WTM) Manipal Winter Fest'18 -
oct 2018 Best Paper Presentation Award at ICECNS-GOA 2018
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Jan 2014 INSPIRE Scholarship
Issued by MHRD Department, Government of India
Volunteer Work and Leadership
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2024 Reviewer at AAAI'24 and CVPR'24 Workshop
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2023 Reviewer at IJCV
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2022 ML Mentor at AnitaB.org
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2022 External Reviewer at KDD
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DEC 2018 - JAN 2019 Student Mentor at GirlScript Foundation
Info
- Mentored 150+ students under the GirlScript Manipal Winter Programme on C++, Java, & Object Detection using OpenCV
Technical Skills
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DL/AI PyTorch, TensorFlow/Keras, Scikit-Learn -
Coding Python, Java, MATLAB -
Infra Linux, Docker, Kubernetes