Software Engineer Building high-impact
Building high-impact
systems at scale.
I build the infrastructure behind conversational AI at Wayfair — routing LLM inputs, processing 400k Kafka messages daily, and automating what used to take engineers 20 minutes by hand. Before that, I shipped microservices at BlackBerry and Kubernetes automation at Wellframe. Northeastern CS, class of 2024.
Where I've built things
- 01 Designed an LLM-as-a-judge input classification layer for a production chatbot, reducing incorrect escalations by ~23% with real-time alerting for high-risk inputs.
- 02 Architected a Kafka-based agent status tracking system processing 400k+ messages/day using Avro schemas, Spring Boot JPA, and batch processing.
- 03 Built a Composer Airflow data pipeline with dbt and Python for metadata aggregation — deduplication, continuous updates, executes in under one minute.
Python SQL Airflow dbt Kafka Spring Boot GraphQL GCP LLMs
- 01 Implemented high-performance API bulk operations using Spring JPA and S3, improving query processing time for two high-priority products.
- 02 Integrated audit logging across a new Java microservice with Kafka pipelines to the legacy audit system.
Java Spring Boot Kafka AWS S3 REST APIs SQL
- 01 Leveraged Kubernetes to automate database operations, reducing create/delete times by 95% and enabling concurrent SQL instance operations.
- 02 Built automated environment data population replacing a manual Postgres backup/restore process — 40 minutes down to 10.
Kubernetes Docker Python Bash Helm GKE GCP
Northeastern University
Award
Khoury College of Computer Sciences Co-Op Award, 2024
Relevant Coursework
