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

Communicated actively with customers regarding software fixes and enhancements

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

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

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

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