I design and build high-throughput, low-latency distributed systems, serverless data pipelines, and production ML integrations. My work focuses on scalable APIs, operational excellence, and data-driven systems for advertising and analytics.
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Experience
Currently I am searching for new places to hike, have heard good things about Mt. Rainer - ping me if you are in WA.
Tech Stack: New learnings incoming.
At Nissan, I designed and shipped Tell Me More, a production multi-agent agentic chatbot integrated into Nissan's dealership appointment pipeline. Architected a four-agent system on AWS Bedrock AgentCore with persistent session memory, handling multi-concern diagnostic intake flows end-to-end. Owned the full AWS infrastructure, chat application backend, and partner integrations — successfully onboarding 2 dealership channels.
Tech Stack: AWS (Bedrock AgentCore, ECS, Step Functions, DynamoDB, API Gateway, CloudWatch, S3), Multi-Agent Systems, Agentic AI, Python, FastAPI, TypeScript, Serverless Architecture, CI/CD
At Amazon Advertising, I developed scalable backend services and high-throughput data pipelines using AWS technologies including ECS, Lambda, DynamoDB, Step Functions, Glue, and Athena. I built robust ad labeling systems that support both pre- and post-bid filtering to improve ad relevancy, while separately enhancing brand safety systems to protect advertisers and ensure compliance. My work enabled efficient large-scale processing and evaluation of ad data, significantly boosting overall ad quality.
I also led seamless service transitions and implemented automation to improve operational reliability and customer onboarding.
Tech Stack: AWS (Lambda, EC2, Fargate, Batch Jobs, RDS, SNS, SQS, Step Functions, DynamoDB, Bedrock, Kendra, CloudWatch, Glue, Athena, ElastiCache, S3), Distributed Systems, Apache Iceberg, GraphQL, Kafka, Serverless Architecture, Machine Learning, CI/CD, Observability, Java, Python, TypeScript
At Openprise, I developed API integrations with Google Calendar and built ETL pipelines with data preprocessing for PostgreSQL database ingestion and optimization.
Tech Stack: Python, REST APIs, PostgreSQL, ETL Pipelines
At UMBC, I mentored students in Information Retrieval, Computer Security, Discrete Structures, and Numerical Computations courses. Researched fake news detection using machine learning and NLP at AI-SSGL lab. Developed automation scripts for grading and maintained research lab website.
Tech Stack: Python, Machine Learning, NLP, WordPress, Automation
Revamped ML test suites and built preprocessing tooling to accelerate NLP and unsupervised workflows, reducing runtime and manual effort. Created PyQt utilities for automated data preparation and visualization and prototyped ML solutions to improve software testing and evaluation.
Tech Stack: Python, Keras, PyQt, Machine Learning, NLP, Data Visualization, Test Automation
Education
Key Projects
A production four-agent agentic system that triggers when a Dealership customer books a service appointment — the dealership sends a personalized link and the system conducts a structured diagnostic intake conversation before the visit. The Conversation Agent manages customer dialogue and a priority-ordered concern queue and orchestration with the other agents as tools; the Rubric Agent performs real-time structured field extraction and answer quality assessment; the Vehicle History Agent pulls past service records to surface relevant repair context; and the Dealership Internal Agent consults internal systems for warranty coverage, parts availability, and dealer-specific advisories. Each concern gets its own full intake cycle with persistent agent memory across turns. Coordinated integrations with internal X company services and five dealership partners.
Built a full-stack diabetes prediction app using a Random Forest model with Google Maps and Twilio for real-time alerts. Dockerized and deployed on AWS EC2 with PostgreSQL.
Developed an Android app (Java) for a football fantasy tournament and a Flask REST API + scraper to provide live data and scoring.
Architected a P2P distributed system with replication and version control to enable resilient file CRUD operations across nodes.
Technical Skills
Distributed systems design, high-throughput data pipelines, serverless architecture, API development and modeling, ML/AI integration, infrastructure and performance optimization, real-time event-driven systems, observability, multi-agent system design, and prompt engineering.