"I build the infra no one sees, for the products everyone uses."
I'm an SDE II at Amazon Web Services, where I architect cloud infrastructure that powers developer tools used by tens of thousands of engineers. My work lives at the intersection of distributed systems, performance engineering, and product thinking.
Before that, I built materialized view systems, business metrics pipelines, and led operational excellence initiatives at AWS CodeCatalyst. I hold an M.S. in Computer Science from NC State (4.0 GPA) and love working on problems that require both deep systems knowledge and thoughtful product design.
Outside of work, I explore algorithmic trading, contribute to open-source ML tools, and build community products like Lekha — a portfolio tracker for the Indian investing community.
Software Development Engineer II
Amazon Web Services
Oct 2024 – Apr 2026
- Architected Kiro's complete metering and billing infrastructure from zero, including API Gateway ingestion, DynamoDB aggregation with stream-based triggers, EventBridge-scheduled limit evaluation, and batch delivery to AWS Metering, scaling to 20,000 developers at re:Invent 2025 with zero billing incidents on launch day.
- Engineered a high-frequency throttling service using Lambda and Redis Serverless to enforce token usage limits across 5-minute and 1-hour windows, achieving p50 latency under 1ms.
- Owned onboarding flows and 6 third-party integrations end-to-end for AWS's first autonomous AI development agent.
Software Development Engineer I
Amazon Web Services
Feb 2023 – Sep 2024
- Architected materialized view processing enhancements including reverse relationships, one-to-many views, and V2 rearchitecture, enabling complex document aggregation for AWS CodeCatalyst teams while improving performance by 40%.
- Established full ownership of business metrics infrastructure by implementing cross-account S3 replication, operational tooling, monitoring, and event processing integration.
- Led operational excellence and mentorship initiatives, achieving 62% operational backlog reduction.
SDE Intern
Amazon Web Services
May 2022 – Aug 2022
- Developed a JSON Schema Linter CLI in TypeScript, resulting in 70% reduction in review labor hours.
- Developed a Java SDK and integration tests for the AWS CodeCatalyst Eventing System.
Associate Engineer
CloudOffis
May 2020 – Apr 2021
- Automated extraction from SMSF documents, yielding up to 80% reduction in work time per document.
- Transformed classification model using Active Learning to detect concept drift and data drift.
- Implemented dynamic multiprocessing, achieving 30% reduction in process time.
Machine Learning Intern
Knowarth Technologies
Jan 2020 – May 2020
- Developed a multi-class classification model using Ensemble techniques for 1000+ SMSF documents across 30 classes, attaining over 95% accuracy.
- Orchestrated migration of REST APIs to a cloud-based distributed system using AWS SQS and S3.
Software Development Engineer II
Amazon Web Services
Oct 2024 – Apr 2026
- Architected Kiro's complete metering and billing infrastructure from zero, including API Gateway ingestion, DynamoDB aggregation with stream-based triggers, EventBridge-scheduled limit evaluation, and batch delivery to AWS Metering, scaling to 20,000 developers at re:Invent 2025 with zero billing incidents on launch day.
- Engineered a high-frequency throttling service using Lambda and Redis Serverless to enforce token usage limits across 5-minute and 1-hour windows, achieving p50 latency under 1ms.
- Owned onboarding flows and 6 third-party integrations end-to-end for AWS's first autonomous AI development agent.
Software Development Engineer I
Amazon Web Services
Feb 2023 – Sep 2024
- Architected materialized view processing enhancements including reverse relationships, one-to-many views, and V2 rearchitecture, enabling complex document aggregation for AWS CodeCatalyst teams while improving performance by 40%.
- Established full ownership of business metrics infrastructure by implementing cross-account S3 replication, operational tooling, monitoring, and event processing integration.
- Led operational excellence and mentorship initiatives, achieving 62% operational backlog reduction.
SDE Intern
Amazon Web Services
May 2022 – Aug 2022
- Developed a JSON Schema Linter CLI in TypeScript, resulting in 70% reduction in review labor hours.
- Developed a Java SDK and integration tests for the AWS CodeCatalyst Eventing System.
Associate Engineer
CloudOffis
May 2020 – Apr 2021
- Automated extraction from SMSF documents, yielding up to 80% reduction in work time per document.
- Transformed classification model using Active Learning to detect concept drift and data drift.
- Implemented dynamic multiprocessing, achieving 30% reduction in process time.
Machine Learning Intern
Knowarth Technologies
Jan 2020 – May 2020
- Developed a multi-class classification model using Ensemble techniques for 1000+ SMSF documents across 30 classes, attaining over 95% accuracy.
- Orchestrated migration of REST APIs to a cloud-based distributed system using AWS SQS and S3.
03 PROJECTS
Lekha — Portfolio Tracker
Community-driven portfolio showcase for the Indian investing community, supporting NSE, BSE, NASDAQ, NYSE, and Crypto with a social follower model and serverless Deno Edge Functions.
MachineHack Hackathons
Notebooks for MachineHack competitions covering Regression, Classification, Time Series, and Range Prediction in ML and Deep Learning.
BOTAnshul
Personalized chatbot resume using Rasa, deployed with Heroku Docker for 24×7 accessibility.
automeans
Python library automating scikit-learn K-Means Clustering by optimising cluster count selection.
Handy Cricket
Computer-vision cricket game using OpenCV and Keras to identify hand signals denoting runs scored.
Speaker Diarization
Framework using pyAudioAnalysis and Hierarchical clustering to identify speakers in conversational audio.
Slytherin: Genetic Algorithm Snake
Genetic Algorithm implementation of Snake using pygame, evolving through generations.
Named Entity Recognizer
Custom NLP model using BiLSTM and BERT to classify text by person, location, money, time, and more.
Lekha — Portfolio Tracker
Community-driven portfolio showcase for the Indian investing community, supporting NSE, BSE, NASDAQ, NYSE, and Crypto with a social follower model and serverless Deno Edge Functions.
MachineHack Hackathons
Notebooks for MachineHack competitions covering Regression, Classification, Time Series, and Range Prediction in ML and Deep Learning.
BOTAnshul
Personalized chatbot resume using Rasa, deployed with Heroku Docker for 24×7 accessibility.
automeans
Python library automating scikit-learn K-Means Clustering by optimising cluster count selection.
Handy Cricket
Computer-vision cricket game using OpenCV and Keras to identify hand signals denoting runs scored.
Speaker Diarization
Framework using pyAudioAnalysis and Hierarchical clustering to identify speakers in conversational audio.
Slytherin: Genetic Algorithm Snake
Genetic Algorithm implementation of Snake using pygame, evolving through generations.
Named Entity Recognizer
Custom NLP model using BiLSTM and BERT to classify text by person, location, money, time, and more.
04 SKILLS
40+ technologies
NC State University
M.S. Computer Science
4.0 GPA · 2021–2022
Nirma University
B.Tech Computer Engineering
2016–2020
06 — CREDENTIALS
15 certifications
across ML, data science, and software
INTERESTS