•Hired as first full time engineer on the team and brought the product from 0-1
•Led the migration of core IoT integrations from a Django monolith to AWS EC2 microservices,
introducing SQS queues to improve scalability and reliability of sensor data ingestion.
•Defined and enforced engineering standards for test coverage, clean code practices, and
architectural patterns adopted across the backend team
•Optimized Metrc compliance sync performance 10x by refining ORM queries and
restructuring PostgreSQL models to reduce API timeouts
•Cut deployment time ~50% by improving CI/CD and release processes.
•Partnered with CEO/Product Manager to define features, translate business goals into scalable
architecture
•Collaborated with customer support to design internal tools that automated common issue
resolutions, reducing engineering intervention by more than 50%
•Designed secure REST APIs and optimized ETL pipelines processing 100K+ rows/day
•Delivered multiple 3rd-party integrations with auth, rate limiting, and retry logic
•Mentored junior engineers in codebase, TDD, and best practices(such as SOLID and clean code)
•Authored internal design docs and technical references to reduce knowledge silos across teams
Stack: Python, Django/DRF, React, PostgreSQL, AWS (Lambda, SQS, S3, EC2, Route 53,
RDS, DynamoDB), Docker, Terraform, Git, CircleCI, Pandas/NumPy, Linux, Redis
