Technical Leader • Backend Architect • Distributed Systems Engineer
Experienced technical leader and software architect specializing in distributed systems, backend engineering, and scalable SaaS platforms. Proven track record of leading cross-functional teams, mentoring engineers, and delivering resilient, business-critical infrastructure in fast-paced environments. Adept at aligning technical direction with organizational outcomes, driving architectural excellence, and fostering a collaborative engineering culture.
AndGo by Goodyear | June 2023 – August 2025
- Led multiple distributed backend systems powering Goodyear's fleet maintenance platform.
- Set long-term architectural vision and introduced key backend patterns adopted across teams.
- Mentored engineers through 1:1s, technical talks, and structured documentation.
- Shaped hiring and leveling processes, including architecture interviews and calibration.
- Drove collaboration across Data, Infrastructure, and Product to align system design with business goals.
Key Projects:
- Dynamic Fleet Scheduler:
- Architect of core scheduling infrastructure enabling 20K+ monthly service appointments and scaling from a few thousand vehicles to 55K and 1600 active fleets.
- Led event-driven caching redesign, reducing P99 latency by 95%.
- Automated Data Reporting Pipeline:
- Established SDLC for the Data team, enabling ML automation and reducing manual effort by 90%.
- Geotab Telematics Pipeline:
- Architected a scalable telematics ingestion pipeline.
- EMEA Expansion:
- Developed process documentation for GDPR compliance to support UK operations.
AndGo by Goodyear | April 2022 – June 2023
- Architected and developed a greenfield SaaS fleet maintenance platform from concept to deployment.
- Engineered a scalable, general-purpose Flask service for external data integrations, eliminating third-party dependencies and saving $60,000/year.
- Championed software best practices, introducing unit tests and domain-driven design.
- Built an extensible, channel-agnostic notification service; migrated to Kafka for improved latency and extensibility.
Vitalyze Inc. | May 2021 – August 2021
- Onboarded agile workflows for a fast-moving health-tech team.
- Authored technical requirements and led integration of external data partners.
- Aligned engineering deliverables with product roadmap.
Location Labs by Avast | August 2015 – January 2021
- Designed and implemented telecom integrations, led sprint planning, and contributed to incident response.
- Implemented data extraction/reporting mechanisms for BI and analytics teams.
Key Projects:
- AT&T Subscription Service:
- Delivered Redis-backed caching for low-latency subscription syncing.
- Verizon CCPA Pipeline:
- Designed/implemented compliance-critical data pipelines.
- Call Detail Record Contact Sync:
- Built microservice for consolidated syncing between CDR and mobile devices.
Alkyme | Dec 2014 – Mar 2015
- Delivered MVP for a physician-patient portal using the M.E.A.N. stack.
- Led product demonstration and walkthroughs.
Lawrence Berkeley National Laboratory | Dec 2013 – Aug 2015
- Developed automation/collaboration tools across research groups.
- Built a web application for ABPDU to collect/visualize biological samples.
- Directed a successful Gmail migration using custom scripts.
University of California, Berkeley
B.A. in Applied Mathematics (Economics concentration), Dec 2013
Languages: Python, Java, JavaScript, Bash, Clojure, Lisp, MATLAB
Frameworks: Flask, FastAPI, Spring MVC, NodeJS/Express, AngularJS, ReactJS
Databases & Caching: MySQL, Postgres, SQLite, Snowflake, Redis, MongoDB, Chroma
Cloud/Tools/CI/CD: AWS (ECR, S3, RDS, SQS, SNS, MSK, Glue, Cognito), Kubernetes, Docker, Terraform, Spinnaker, GraphQL, Hasura, Swagger, Ansible, Datadog, Nagios, Loggly, ArgoCD
Streaming & Task Processing: Kafka, Celery, Apache Airflow, RabbitMQ
ML: Linear regression, SVM, Clustering, K-means, LLM, RAG, Vector data stores, pandas
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