Highlights:

Skills:Machine Learning, Artificial Intelligence, AI, Deep Learning, Pytorch, Tensorflow, Reinforcement Learning, Data Science, Python, C++, GPT, Large Language Models, LLM, Git, Keras

Senior Data Scientist 10/2023 - 05/2024
Indeed, Bangalore, Karnataka India
Industry: Online Employment Services
Senior Data Scientist - Matching Science Team
- Improved key model target metrics–job-seeker positive response rate, positive outcome over apply, and apply rates–through multi-target modeling and reducing negative information transfer between tasks. - Assessed and quantified the MLOps production readiness across all teams and software stacks within the Invite-to-Apply (I2A) Match Recommendation Platform (MRP), enhancing system reliability and performance.--
Data Scientist / Machine Learning Engineer 04/2021 - 09/2022
Pymetrics, New York, New York United States
Industry: Online Employment Services
Machine Learning Engineer and Data Scientist - Core Data Team
- Built and experimented with fairness optimized ML models and algorithms that use soft skills to make hiring more data driven and bias-free. - Built an ML research platform within AWS Sagemaker, utilized it to train and optimize different flavors of autoencoders (Variational, Denoising, Adversarial) - Published research papers: [JSM 2022] How Real is Synthetic Missing Data? Impact of Missing Data Modeling on Imputer Evaluation, [IMPS 2022] Considerations in Group Differences in Missing Values.--
Machine Learning Research Engineer 06/2019 - 05/2020
Embold Technologies, Brooklyn, New York United States
Industry: IT
Machine Learning Research and Development - Core R&D Team
- Adapted Large Language models (LLMs), graph neural networks (GNNs), and attention networks to create a new architecture (CoFEx: Code Feature Extractor) that trains on open sourced 'Big Code' data to solve problems such as bug detection and localization, patch generation, code auto-completion, and more. - Training the CoFEx model for downstream tasks such as bug detection and localization, patch generation, and code auto-completion.--

New York University 09/2015 - 05/2019
Brooklyn, New York, United States
Degree: Bachelor's Degree
Major:Computer Engineering
Minor:Biomolecular Science
Relevant Coursework: Deep Learning, Advanced Machine Learning, Real-time DSP, Feedback control, Computer Networking, Operating Systems, Data Structures and Algorithms, Computer Architecture Relevant Projects: - Self-Driving Car , IGVC18 - Semantic segmentation of stereo camera image frames (Pytorch) - Speech to Speech translation - real time voice preserving translation system (Tensorflow) - Dead Man Walking - vision based non-contact vital sign monitoring (OpenCV, Python, RPi)

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