Senior Software Engineer Scalable Backends · Distributed Systems · ML Integration · AWS

Experience

1. ZS — Senior Software Engineer

   Jul 2024 – Jan 2025 · Bengaluru, IN

   • Led migration from a legacy Tableau dashboard to a modern web application using React, FastAPI, and Spring Boot with Redis, reducing latency by 45% and eliminating $100K/year in licensing costs.
   • Built ML microservice for anomaly detection in clinical system logs and operational metrics using isolation forests and time-series features, reducing triage time by 30%.
   • Developed a real-time notification system with WebSockets and AWS MSK, enabling sub-580ms delivery for alerts used by research and operations teams with 99.9% uptime.
   • Implemented automated CI/CD pipelines with GitLab and Docker, replacing ad-hoc scripts and sequential builds — cutting deployment time by 35% and ensuring smoother, more reliable releases.
2. ZS — Software Engineer

   Mar 2022 – Jun 2024 · Bengaluru, IN

   • Developed a GenAI-powered pipeline to extract KPIs from 10K+ unstructured healthcare reports using prompt chaining and preprocessing - automated 20+ analyst hours/week.
   • Optimised RESTful APIs to handle 3 times higher concurrent load by tuning DB connection pooling, adding Redis caching, and validating stability through JMeter load tests.
   • Integrated Prometheus and Grafana to monitor service health and improve incident response time.
   • Protected HIPAA-compliant pharmaceutical APIs by integrating Okta SSO with JWT tokens and rate-limiting, securing access to 500K+ patient records for research teams.
3. EY — Software Engineer I

   Oct 2020 – Feb 2022 · Bengaluru, IN

   • Improved backend performance by 35% for a large automotive platform by implementing caching, pagination, and streamlined payload handling across services built with NodeJS and Spring Boot.
   • Fixed race conditions in multithreaded services using locks and task queues — enhanced system stability and reduced transactional errors by 15%.
   • Tuned PostgreSQL performance using indexing and execution plan analysis, cutting query latency in key workflows.
   • Built robust unit and integration test suites with Pytest and Postman, increasing coverage and reducing production issues.
4. Pantech Solutions — Machine Learning Intern

   Aug 2018 – Nov 2018 · Chennai, IN

   • Developed data validation and preprocessing scripts for real-time stock data pipelines, improving training input quality.
   • Trained and validated ML models (Linear Regression, SVM) using scikit-learn to predict short-term stock trends, applying feature engineering for improved accuracy.
   • Documented edge cases and model drift patterns to improve debugging and retraining workflows.

Education

1. Santa Clara University

   Santa Clara, CA · March 2025 – March 2027

   Master of Science in Computer Science and Engineering

2. SRM Institute of Science and Technology

   India · August 2016 – June 2020

   Bachelor of Technology in Computer Science and Engineering

Skills

Publications

• Image Compression with Neural Network using Autoencoder – Designed and implemented deep autoencoders for image compression, including a focused study on the MNIST dataset. Achieved significant reduction in storage requirements while maintaining reconstruction quality.
• Weather Forecasting System using Machine Learning – Built ML-based models for short-term weather prediction using regression and time-series analysis, improving accuracy over baseline methods.

Awards

• Spot Award (ZS Associates): Recognized for initiative and problem-solving in deploying a GenAI-based insight module for Pfizer’s Quality Control and Digital Optimization project.
• Team Impact Award (ZS Associates): For contributing to high-impact deliverables in Amgen’s cross-functional setup.
• Bravo (EY): Acknowledged for demonstrating consistent high-quality work for GM product modernization.

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