Software Engineer – Infosys Limited
Sep 2025 – Present
Texas, United States
- Designed and developed a scalable data extraction platform using Python, Pandas, and Snowflake, enabling secure processing of large healthcare datasets and improving data retrieval efficiency by 30%.
- Built interactive data applications using Streamlit, integrating with Snowflake and cloud storage, allowing users to extract and download large datasets with optimized performance.
- Implemented Retrieval-Augmented Generation (RAG) systems using LangChain and vector databases to enhance data querying and intelligent insights across structured and unstructured data sources.
- Engineered backend services and APIs for data processing workflows, ensuring high availability and seamless integration with cloud platforms such as AWS.
- Optimized large-scale data extraction by implementing chunked processing and memory-efficient techniques, reducing application crashes and improving performance for datasets exceeding 1M+ records.
- Collaborated with cross-functional teams in Agile environments to gather requirements, design solutions, and deliver production-ready features within tight timelines.
- Maintained high code quality and reliability through testing, debugging, and continuous monitoring, ensuring stability in production environments.
Software Engineer – Private Identity LLC
Jan 2025 – Apr 2025
United States
- Developed and optimized RESTful APIs using Java Spring Boot with WebSocket support, improving real-time communication and reducing API latency by 20%.
- Integrated Apache Kafka for event-driven data streaming, enabling scalable and reliable real-time data processing across distributed systems.
- Deployed and managed cloud infrastructure using AWS EC2, S3, and API Gateway, improving system performance and scalability.
- Implemented secure multi-cloud storage solutions leveraging AWS S3 and Google Cloud Storage, improving data retrieval speed by 25%.
- Enhanced API documentation and integration efficiency using Swagger/OpenAPI, reducing onboarding time for developers by 30%.
- Applied IAM and security best practices including authentication, encryption, and access control, strengthening system security and compliance.
- Collaborated on AI-driven identity verification solutions, leveraging embeddings and prompt engineering techniques for improved model accuracy.
Software Engineer – Cerner Healthcare Solutions
Nov 2021 – Jul 2023
Bangalore, India
- Designed full-stack appointment workflow features using React for the frontend and Node.js with AWS SQS and DynamoDB on the backend for asynchronous processing, resulting in a 40% improvement in scheduling throughput.
- Developed modular UI features using React.js and Redux Toolkit, improving maintainability and reducing page load times by 25% on clinician dashboards accessed daily by thousands of users.
- Containerized backend services using Docker, deployed them to AWS ECS, and implemented health check monitoring to improve deployment stability, reducing downtime during updates by 35%.
- Integrated Postman and Newman CLI with Jenkins pipelines to automate backend API testing, increasing test coverage by 20% and significantly reducing manual QA effort.
- Maintained applications using Node.js and configured MongoDB to handle patient forms, achieving sub-second response times.
- Developed dashboards using React, Chart.js, and REST APIs, helping users visualize metrics and improve decision-making by 15%.
Production Software Engineer – Cerner Healthcare Solutions
Feb 2019 – Oct 2021
Bangalore, India
- Collaborated with senior engineers to develop interactive web interfaces using JavaScript, jQuery, HTML5, and CSS3, enhancing the usability of internal clinical documentation modules and improving form completion accuracy by 20%.
- Contributed to backend service development using Django and ORM, integrating with MySQL databases and optimizing data retrieval logic, resulting in a 25% reduction in API response latency.
- Rewrote legacy components in React.js, enabling reusable UI, improving maintainability, and reducing development time by 30%.
- Participated in unit testing and API validation using JUnit and Postman, ensuring consistency across modules and helping reduce the number of bugs during system integration by 18%.
- Wrote SQL queries and stored procedures to support reporting, improving backend efficiency and decreasing query time by 20%.
Research Assistant – Clarkson University
Aug 2023 – Dec 2024
Potsdam, NY · On-site
- Developed AI models for deepfake detection with Python, achieving 12% reduction in false acceptances.
- Enhanced response times by 25% for biometric scanning on Android using React Native and TensorFlow.
- Presented research at IEEE UEMCON and NSF CITeR conferences, focusing on multimodal biometrics.