Harut Avetisyan
@harutavetisyan
I build backend and data platforms for reliable infrastructure decisions.
What I'm looking for
At Uber, I build internal capacity-platform products from customer conversations through backend, data, frontend, quality, and alerting delivery. I'm a core contributor to the Platform Efficiency Portal, which gives 81+ platform engineers and leaders real-time visibility into $100M+ in infrastructure allocation and cost.
I own the ingestion layer behind Uber's infrastructure cost estimator and built dynamic-SQL services over Pinot with 1B+ records and sub-400ms queries. My pipelines ingest 120M+ metrics daily into Hive and Pinot, turning GPU, capacity, and infrastructure telemetry into usable dashboards.
I also built data-quality and reliability systems using IQR, Z-score, Statsmodels, M3DB, and uMonitor, reducing incident response from about an hour to 10–20 minutes. I established integration-testing and incident-management practices that helped the team reach Uber's top-three company-wide Deployment Safety Score.
Previously, I built RAG message-personalization pipelines at Imea Systems, improved engagement by roughly 35%, and helped migrate a monolith to an event-driven architecture. Across Sentium Consulting and EKey, I delivered ETL pipelines, accelerated MinIO uploads by about 85%, and decomposed monoliths into scalable asynchronous services.
Experience
Work history, roles, and key accomplishments
Deliver internal platform products end-to-end, partnering with Platform Engineering, Compute, Capacity, AI Platform and SRE teams. Core contributor to the Platform Efficiency Portal, serving 81+ users with real-time insight into $100M+ infrastructure allocation and cost.
Software Engineer
Imea Systems
Jan 2024 - Jan 2025 (1 year)
Owned one microservice end-to-end within a ~10-service campaign platform. Built a RAG-based message personalization pipeline at 88-93% retrieval accuracy, lifting user engagement by ~35%.
Python Backend Developer
Sentium Consulting
Jul 2023 - Jan 2024 (6 months)
Migrated the platform from microservices to a hexagonal monolith, cutting delivery time ~30%. Reduced MinIO file-upload latency from 4s to 0.6s using concurrent multipart uploads.
Python Backend Developer
EKey
Sep 2022 - Jun 2023 (9 months)
Decomposed a monolithic cash system into microservices, improving scalability and fault isolation. Implemented an async event-driven communication layer between services, improving responsiveness ~25%.
Education
Degrees, certifications, and relevant coursework
Yerevan State University
Bachelor of Science, Data Science
2022 -
Pursuing a Bachelor of Science in Data Science at Yerevan State University.
Physmath
High School Diploma, Physics
2018 - 2019
Activities and societies: Physics Olympiad Club
Participated in the Physics Olympiad Club at Physmath in Yerevan.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/Harut8Job categories
Skills
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