• Architected advisor notification system using Typescript, GraphQL, Postgres, AWS SQS, ECS, and SES saving advisors hours per week and scaling how many members a single advisor could manage

• Optimized scalability of GraphQL API, reducing latency 10x while supporting 10x more data per query

• Architected authentication system for users, B2B orgs, bots, and developers with MFA using Cognito

• Optimized User List API latency from 5s for 150 members to 500ms for 2000 members by (1) leveraging bulk queries, (2) adding caching layers, and (3) reducing system calls

• Introduced async CQRS system with SQS, ECS, Postgres and TS to sync and link member finances in real-time

• Processed 100+ GB of customer financial data (>28MB/day/customer) using Postgres and S3, and ETL Jobs

• Built data pipelines integrating Plaid and eMoney APIs with Postgres, AWS RDS, S3, SQS, and ECS

• Implemented centralized logging across all backend using AWS CDK, Grafana, Cloudwatch, and Kinesis

• Optimized deployments by reducing container push times from 30 minutes to 2 minutes and cutting sprint-wide deployments from over 3 hours to under 1 hour using GitHub Actions, AWS CDK, and Bash scripts

• Managed application domains and deployments using AWS Route53, AWS CDK, ECS, and AppRunner

• Implemented API firewall, bot detection, network isolation, and AWS SSO using Twingate, AWS WAF, VPC, EC2, IAM, CloudFormation and API Gateway to strengthen security for SOC 2 compliance

• Enhanced frontend with Next.js, React, and TypeScript, improving customer workflows by reducing clicks, streamlining state management with React Hooks and urql, and lowering API calls for faster page loads

• Integrated chat message with Agentic RAG AI framework using Python, SNS, SQS, OpenAI, and ECS

• Delivered seller tooling for ticketing marketplace using C#, JS, TS, Azure, AWS, Microsoft SQL, and Open AI

• Communicated actively with customers regarding software fixes and enhancements

• Coordinated with leadership to improve cross-team communication, task delegation, and estimation

• Managed 10s of petabytes (PBs) of self-driving sensor and operational data for data infrastructure team

• Designed end-to-end and integration tests using Docker and Jenkins to improve maintainability code quality

• Optimized SQL queries reducing memory usage from GBs to MBs and processing time from minutes to sec’s

• Expanded documentation with runbooks and structured design documents to better share team knowledge

• Established team processes to enhance team productivity, communication, and knowledge sharing

• Mentored engineers to improve productivity and expand understanding of engineering concepts

• Improved developer experience and system testing using Docker, Docker python library, and venv

• Consulted on large front-end refactor using ReactJS state management with redux and react hooks

• Coordinated across teams to fix networking issues in Kubernetes on EKS and network load balancers in AWS

• Investigated issues in Airflow and Spark for data processing resulting in improved reliability and speed

• Implemented new monitors and alerts in DataDog to monitor health of data systems

• Designed kotlin library for SQL analysis and trans-compiling

• Directed and delegated tasks to a team of 3 other engineers

• Designed date-time compiler analysis using composite pattern and integrating with AWS Redshift

• Enhanced operational excellence by introducing various test suites using testng and junit

• Designed builder pattern to encapsulate regex validation of SQL to greatly improve extensibility of test suite

• Implemented CI/CD pipeline with integration testing designed to ensure operational excellence

• Managed and deployed back-end infrastructure changes using AWS CDK

• Debugged event-driven AWS code to improve operational testing for internal legal software

• Analyzed effort to implement new customer-facing feature and provided estimate and design

• Extending features of microservices using NestJS, Golang, and Domain-Driven-Design

• Integrated 3rd party APIs in NestJS and TypeScript service including (but not limited to) google-drive api, dropbox api, box, and microsoft graph api

• Devised in-house software utility to update C# projects saving hundreds of hours of senior engineering effort

• Collaborated with senior engineering and architecture to improved CI/CD pipeline using AWS ECR and Jenkins

• Designed algorithmic bipartite graph analysis to provide better understanding of customer use-cases for the sake of optimizing rendering performance