About
Software Development Engineer II with expertise in building large-scale distributed systems, multi-agent AI platforms, and cloud-native microservices. At Amazon, I architect experimentation frameworks and AI-driven automation systems that operate across 18+ global marketplaces and directly drive Prime membership growth. Experienced in leading complex technical initiatives end-to-end - from system design through delivery - with a focus on scalability, operational excellence, and measurable business impact.
Experienced in designing and building large-scale distributed systems and microservices, with a focus on reliability, performance, and clean system boundaries across complex service ecosystems.
Skilled at taking ownership of ambiguous, high-impact problems - driving them from system design through production delivery with minimal oversight.
Strong cloud-native engineering background with hands-on experience building event-driven architectures, serverless systems, and infrastructure-as-code on AWS.
Effective cross-functional collaborator - experienced working across multiple teams to align on technical direction, unblock dependencies, and ship cohesive solutions at scale.
Experience
Software Development Engineer II
Amazon
- Architected a core experimentation framework for a multi-agent AI system, designing autonomous workflows that intelligently generate hypotheses and execute targeted content experiments. Delivered this highly scalable infrastructure as a primary technical building block to drive a leadership objective of acquiring 1M+ new Prime members.
- Led the system design and development of the orchestration layer for a multi-agent AI experimentation platform scaling across 18+ marketplaces, solving complex automation bottlenecks to drastically accelerate global marketing initiatives.
- Designed and implemented a localization preview service integrated with Figma, automating conversion of design mocks into marketing assets and providing real-time validation of localized content; reduced global launch timelines from 8 weeks to 1 week.
- Developed a distributed microservice to manage global rollout of Prime savings and benefits, automating audits and updates for 1,500+ marketing assets across 9+ marketplaces; reduced operational effort from 2 months to 1 day.
- Led design and implementation of Prime's first member-retention A/B testing framework, building orchestration logic across 5+ teams and delivering statistically significant results with a projected uplift of 11,000+ annualized Members.
- Owned end-to-end migration of an internal content management service from legacy NetScaler hardware to an AWS Application Load Balancer with zero downtime, eliminating critical security risks and enabling cloud-native scalability.
- Built a real-time, event-driven data pipeline using AWS Kinesis, migrating a critical service off a deprecated platform and ensuring 100% business continuity for experiment analysis dashboards.
- Drove key process improvements for the engineering team's sprint and operational excellence cadences, resulting in sustained 80%+ task completion rates and more efficient planning cycles.
Software Engineer
Audere
- Built serverless API components using AWS API Gateway and Lambda functions, supporting 10K+ daily requests with 99.9% uptime across production environments.
- Developed 5+ REST endpoints with Python Lambda functions, handling data processing and API integration for 3 mobile applications.
- Contributed to Infrastructure as Code using Terraform, automating deployment of AWS resources across dev/staging/prod environments.
- Built automated database migration pipeline using Alembic, reducing schema deployment errors by 95% and saving 15+ hours of manual database management per week.
- Integrated automated testing workflows into CircleCI pipelines, improving code quality and reducing manual testing overhead by 60% across development cycles.
- Developed comprehensive Android test automation using Espresso framework, increasing test coverage from 45% to 70% and catching 85% of bugs before production deployment.
Project Intern
Institute for Plasma Research
- Enhanced the development of Ethereum blockchain by utilizing Solidity, JavaScript, and Java and maintaining both client-side and server-side code. Complied with industry-standard software development procedures and crafted 5 UML diagrams to enhance comprehension and facilitate future maintenance.
- Participated in code reviews to ensure the quality and reliability of the final product.
Skills
Languages
AWS
Frameworks & Tools
Concepts
Education
Arizona State University
Master of Science
(Computer Science)
August 2021 - May 2023
Relevant Coursework:
Cloud Computing, Data Processing at Scale, Software Testing/Quality Management, Data Visualization
Dharmsinh Desai University
Bachelor of Technology
(Information Technology)
August 2017 - May 2021
Relevant Coursework:
Data Structure and Algorithms, Databases, Advanced Java and Design Patterns, Distributed Computing
Academic Projects
Face Recognition on a PAAS
- Designed and implemented a distributed application using AWS Lambda, Amazon SQS, Amazon DynamoDB, and Amazon API Gateway to perform real-time face recognition on real videos recorded by IoT devices, resulting in a highly scalable and efficient system.
- Utilized Docker to containerize the application and deploy it on an AWS Lambda, improving its portability and flexibility.
- Tested the AWS Lambda function by sending over 500 requests in 5 minutes, identifying and resolving performance bottlenecks and improving the overall system responsiveness.
Face Recognition as a Service
- Constructed a face recognition service based on Python, deployed on AWS EC2, incorporating SQS and S3 for cost-efficient scaling.
- Implemented manually scripted load-balancers that automatically scaled in and out on demand to accommodate changing traffic patterns.
- Evaluated scalability by generating 1000 concurrent user requests, demonstrating ability to handle high volumes of traffic efficiently.
Soccer Tournament Website
- Developed a J2EE-based website with 6 distinct user roles using Agile principles, UML design concepts, and Git version control.
- Ensured high-quality results through specification-based and structural-based testing.
Technical Papers
Live Facemask Detection System
International Journal of Imaging and Robotics™
2021 Volume 21, Issue I, Page No: 1-8, ISSN: 2231-525X
Attendance System using Face Recognition utilizing OpenCV Image Processing Library
International Journal for Research in Applied Science and Engineering Technology
2020 Volume 8, Issue VI, Page No: 1811-1814, ISSN: 2321-9653
Live Helmet Detection System for Detecting Bikers without Helmet
International Journal of Knowledge Based Computer Systems
2019 Volume 7, Issue 2, Page No: 14-17, ISSN: 2321-5623
Link: Journal's Article Page
Get In Touch
Let's connect and discuss opportunities to work together.