# Mayukh Bhattacharyya > Software/ML Engineer Location: New York City Metropolitan Area, United States Profile: https://flows.cv/mayukh My expertise and interests lie at the juncture of Software Development and Machine Learning. I have developed applications running on minimalistic Linux OS supporting display devices, complex computer vision-based solutions revolutionizing cancer care, and more things in between. I have also developed multiple packages/apps on my own which have found some use in the open-source community. The satisfaction of creating something useful keeps me going! ## Work Experience ### Software Engineer @ Firsthand Jan 2024 – Present | New York City Metropolitan Area ### AI Software Developer @ Belva AI Jan 2023 – Jan 2023 • Built the backend of LLM based phone call platform. Developed core chat microservice of the platform on FastAPI, Mongo, Redis stack. Built Langchain-based conversational agents integrating popular LLM services. • Developed RAG based legal chatbot built on top of the chat service for a legal marketplace for finding lawyers. ### Senior Research Aide @ Stony Brook University Jan 2022 – Jan 2023 | Stony Brook, New York, United States • As part of Stony Brook's lab for National COVID-Cohort-Collective project, analyzed large-scale patient data with Spark for informatics purposes. Handled terabytes of data, creating data pipelines, visualizing, drawing conclusions, and presenting the findings to stakeholders. ### Machine Learning Engineer Intern @ Snap Inc. Jan 2022 – Jan 2022 | Los Angeles, California, United States • Developed model evaluation pipelines for large-scale recommender systems for Snap’s in-house ML platform. • Implemented counterfactual evaluation methods that can emulate real A/B test results from historical data, thus reducing reliance on A/B tests and saving thousands of hours monthly in iterative development time. • Adapted ideas from research papers for experiments on internal user data using GCP and BigQuery. Integrated the best methods in Snap’s in-house ML platform using Apache Beam, which outperformed existing metrics. ### Algorithm Developer II @ Applied Materials Jan 2020 – Jan 2021 | Bengaluru, Karnataka, India • Worked under the CTO in a focused team on the development an AI-based cancer diagnosis product. Worked with multiple stakeholders, led 2 junior engineers and collaborated on product roadmap on the way to launch. • Developed Computer Vision models with Pytorch & Tensorflow for semantic and instance segmentation using weakly supervised techniques. Built efficient data pipelines for model inference on gigascale images on cloud. • Deployed product on AWS using EC2, SageMaker, Lambda, S3, SQS, DynamoDB etc. ### Software Engineer @ SigTuple Jan 2019 – Jan 2020 | Bengaluru, Karnataka, India • Developed deep learning models and pipelines for object detection and tracking for AI-based pathology test product, improving detection precision by 30% over existing. Deployed new models on Kubernetes in GCP. • Developed ffmpeg camera modules and scanning backend in Python for capturing images and videos in a proprietary scanner device. ### Software Engineer @ Samsung Electronics Jan 2017 – Jan 2019 | New Delhi Area, India • Developed core C/C++ products for large format displays. Developed unit testing framework for legacy codebase • Led the research and development of gaze estimation and object detection-based Ad recommendation system for outdoor displays. Used crowd gaze as implicit feedback for suggesting better Ads to be played on screen ### Technology Analyst Intern @ Goldman Sachs Jan 2016 – Jan 2016 | Bengaluru Area, India • Worked in the Finance Data Engineering team. Developed a fault diagnostic safety layer for a Java-based production data pipeline. Also developed Angular based dashboard for data pipelines. ## Education ### Master of Science in Computer Science Stony Brook University Jan 2021 – Jan 2023 ### Bachelor of Engineering in Electrical Engineering Jadavpur University Jan 2013 – Jan 2017 ## Contact & Social - LinkedIn: https://linkedin.com/in/mayukh1802 - Website: https://mayukh18.github.io/ --- Source: https://flows.cv/mayukh JSON Resume: https://flows.cv/mayukh/resume.json Last updated: 2026-03-20