# Priyam Gupta > Learning & Building || SWE - Microsoft Azure Storage || Ex-MLE Mercer Mettl Location: New York City Metropolitan Area, United States Profile: https://flows.cv/priyamgupta Driven and resourceful Engineer with a strong foundation in AI/ML and software development from the University of Washington. Experienced in building Al solutions and end-to-end pipelines at Samsung Research, Mercer Mettl, and Milliman. Currently working at Azure Ultradisk, where I build distributed systems for Azure Storage ## Work Experience ### Software Engineer - Azure Storage @ Microsoft Jan 2025 – Present | United States Working on Ultra Disk at Microsoft Azure, building ultra-low-latency, high-performance storage infrastructure at scale. Focused on latency paths, systems efficiency, and reliability for performance-critical workloads. ### Gen AI intern @ Milliman Jan 2024 – Jan 2024 | San Diego, California, United States • Designed and implemented a GenAI generation pipeline using RAG in Azure, enabling consultants to respond to client actuary and PBM proposals faster. • Engineered SQL data pipelines for a pharmacy recommendation system, leveraging Washington State pharmacy claims data. Used clever feature engineering techniques, to aim to aid consumers in making more informed pharmacy choices. ### Machine Learning Engineer @ Mettl Jan 2022 – Jan 2023 • I played a key role in the research and successful pilot implementation of Mettl's SpeechX suite product. This product, designed to identify Mother Tongue Influence in spoken English, generated millions of dollars in revenues. • Our team developed innovative hybrid systems and testing methodologies that significantly streamlined the process of identifying candidates with pronounced accents. This advancement was particularly beneficial for business solution companies such as GenPact, EXL, and Hexaware. By providing a more efficient and accurate tool for evaluating potential hires' language proficiency, we enhanced their hiring processes. ### Machine Learning Intern @ Mettl Jan 2022 – Jan 2022 Worked on developing an efficient real-time cheating detection pipeline using principles of face detection, gaze estimation, and outlier detection. This enhanced the cheating detection capabilities of the Mettl Suite and reduced cheating cases by 10%. ### AI Research Intern @ Samsung R&D Institute India - Bangalore Jan 2021 – Jan 2021 • Developed a BERT-based language model for the accurate identification of Hindi-English code-mixed languages in tweets. By utilizing a large-scale, multilingual dataset, we enhanced model robustness and performance by more than 2%. • Leveraged NLP techniques, including subword tokenization (BPE and WordPiece) and RoBERTa optimization, to achieve state-of-the-art performance metrics in Hindi-English code-switched language identification. ### Research Intern @ Society for Space Education Research and Development (SSERD) Jan 2021 – Jan 2021 • Researched and authored a review paper addressing the cosmological challenge of determining Hubble's constant. This paper enhanced understanding of key discrepancies in current measurements. • Utilized telemetry data from various telescopes to verify and recalculate Hubble's constant using Type 1-A Supernovas and gravitational lensing. • Queried large SQL databases for telemetry data and designed an efficient data cleaning pipeline. This optimized the preparation and utilization of large data sets for cosmological research. ## Education ### Master of Science in Data Science (NLP) University of Washington ### Bachelor of Technology - BTech in Electronics and Computer Engineering Thapar Institute of Engineering & Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/propriyam - Website: https://propriyam.github.io/ --- Source: https://flows.cv/priyamgupta JSON Resume: https://flows.cv/priyamgupta/resume.json Last updated: 2026-04-05