I build full stack systems — from distributed backend APIs handling millions of requests to AI-powered cloud applications — reliably, fast, and at scale.
I'm a full stack engineer who works across the entire stack — from distributed backend APIs and cloud infrastructure to React frontends and AI-powered pipelines. Over 5 years at NAB, IBM, and Capgemini, I've designed REST APIs handling millions of requests, set up CI/CD pipelines, containerized applications with Docker, deployed on AWS, and built React UIs for enterprise clients like Samsung and Hughes.net.
Most recently I shipped Sage — a live AI research synthesizer built entirely on AWS serverless infrastructure using Amazon Bedrock, Step Functions, and Cognito. I care about software that is fast, well-structured, and easy to maintain. Right now I'm pursuing an MS in Computer Science at Northeastern University (GPA: 4.0).
I'm drawn to problems where performance decisions have real impact at scale: event-driven architecture, cloud-native AI systems, and full stack infrastructure. Outside of engineering, I mentor junior developers and hold certifications in Generative AI and cloud.
NAB Global Innovation Center India
Feb 2023 - Jul 2025 - 2 yrs 6 mos - Hybrid
IBM India
Apr 2021 - Dec 2022 - 1 yr 9 mos - Remote
Altran (now Capgemini Engineering)
Jan 2019 - Mar 2021 - 2 yrs 2 mos - Onsite
Submit any topic and Sage delivers a structured intelligence brief in under 45 seconds. A 5-state Step Functions pipeline decomposes the topic into 3 parallel AI research threads grounded in live web data via Tavily, synthesizes a 350-900 word report using Claude Haiku 4.5 on Bedrock, and persists results to DynamoDB - entirely serverless on AWS with Cognito auth, PDF export, and CloudFront delivery.
Completed Walmart USA's Advanced Software Engineering Job Simulation on Forage — solving real engineering problems. Developed a novel heap data structure in Java, designed a UML class diagram for a multi-mode data processor, and created an ER diagram for a new database.
Engineered a multi-threaded web server in Rust with an adaptive worker pool that dynamically scales thread count based on real-time request load — applying systems programming concepts from graduate coursework in Operating Systems.
Designed a year-partitioned star schema in cloud-hosted MySQL and built a Dockerized R-based ETL pipeline processing 98K+ streaming transaction records, enabling multi-year viewership trend analysis.
I've had the privilege of working with Srashti for the past two years, and she has consistently proven herself as an exceptionally capable backend engineer. With expertise in Java 17, Spring Boot, and microservices, she has designed and delivered high-performance APIs that are core to our platform's success. Srashti owns the complete development lifecycle - from translating business requirements into technical designs to overseeing deployment.
Srashti is a talented and driven professional with exceptional skills in Java, Node.js, and Docker. Her leadership, creativity, and commitment to excellence make her stand out in any team. She has the rare ability to turn complex challenges into impactful solutions.
I have worked with Srashti as her technical manager and lead. She joined my team fresh out of college and quickly became one of the most reliable engineers. Her ability to learn quickly, take ownership, and deliver quality work consistently impressed me throughout our time working together.
I rarely come across real talents who stand out like Srashti. Her ability to find bugs like a spec of dust in a crystal is exceptional. No matter how difficult the task, she made it easy with her immense knowledge, logical capabilities and hard work.
I'm actively exploring Software Engineering internship opportunities in the US. If you're working on backend systems, distributed infrastructure, or cloud-native products - I'd love to connect.