Curriculum Vitae

Experience

Software Engineer

Microsoft | Azure Storage - Remote, US
April 2025 - Present

  • Developing and enhancing the Ultra Disk Control Plane, implementing telemetry instrumentation and feature development across critical system components including disk handlers and Snapshots.
  • Driving rack and tenant testing validation workflows, ensuring performance of Azure Storage infrastructure at scale.
  • Contributing to operational maintenance initiatives, improving system observability and reducing incident response times through comprehensive monitoring solutions.

Data Intern

Milliman | US - San Diego, CA
July 2024 - Sep 2024

  • Designed and implemented a GenAI generation pipeline using RAG in Azure, enabling consultants to respond to client actuary and PBM proposals 40% faster.
  • Engineered SQL data pipelines for a pharmacy recommendation system, leveraging Washington State pharmacy claims data. Used clever feature engineering techniques to aid consumers in making more informed pharmacy choices.

Machine Learning Engineer

Mercer | Mettl - Gurugram, India
Jan 2022 - Sep 2023

  • Prototyped and tested a real-time cheating detection pipeline with face and gaze estimation implemented on the browser using JavaScript, Mediapipe Facemesh, TensorFlow JS, and Python, reducing incidents by 10%.
  • Designed a model to detect Mother Tongue Influence in Indian English using Python, AWS, and other NLP libraries in collaboration with Carnegie Speech, generating $1.5 million in revenue.
  • Created data analytics dashboards for clients using Excel and Python, increasing client satisfaction by 20%.

AI Research Intern

Samsung Research and Development - Noida, India
May 2021 - Nov 2021

  • Fine-tuned a BERT-based language model for the identification of Hindi-English code-mixed languages in tweets by creating and utilizing a large-scale, multilingual dataset.
  • Applied NLP techniques like subword tokenization and RoBERTa optimization, achieving 2% higher performance than the current state-of-the-art in Hindi-English code-switched language identification.

Technical Skills

  • Languages: Python, SQL, JavaScript, HTML/CSS, R, C/C++
  • Frameworks: TensorFlow, PyTorch, Scikit-learn, Flask, Node.js
  • Developer Tools: Git, Docker, Kubernetes, AWS, Azure AI Studio, GCP, VS Code, Visual Studio
  • Libraries: Keras, Spark, pandas, NumPy, Matplotlib, Seaborn, SciPy

Education

  • University of Washington, Seattle, WA
    Masters in Data Science, Paul G. Allen School of Computer Science

  • Thapar Institute of Engineering and Technology, Patiala, India
    Bachelors in Computer Engineering