I’m a Python backend developer who enjoys building reliable, concurrent systems that can run on Linux and support real-world operational needs. I shipped a production diagnostics platform from initial design through v1.0 as the sole engineer, scaling it to analyze up to 1,800 drives per run using distributed orchestration and robust fault isolation. I also like turning messy data into dependable pipelines and insights. In prior work, I built automated dataset validation/cleaning that significantly reduced incomplete records and delivered recurring Power BI dashboards for data quality tracking, and I’ve contributed to end-to-end machine learning projects and tooling around model workflows.

Alexander Varga

I’m a Python backend developer who enjoys building reliable, concurrent systems that can run on Linux and support real-world operational needs. I shipped a production diagnostics platform from initial design through v1.0 as the sole engineer, scaling it to analyze up to 1,800 drives per run using distributed orchestration and robust fault isolation. I also like turning messy data into dependable pipelines and insights. In prior work, I built automated dataset validation/cleaning that significantly reduced incomplete records and delivered recurring Power BI dashboards for data quality tracking, and I’ve contributed to end-to-end machine learning projects and tooling around model workflows.

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Experience Level

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Work Experience

Software Developer (ServerPartDeals) at ServerPartDeals
October 1, 2024 - June 30, 2026
Built and scaled a production diagnostics platform using distributed Python orchestration to run SMART analysis, throughput benchmarks, and sector scans across hardware reliably. Implemented concurrent execution with 60 parallel workers per stage to maximize throughput, and designed a fault-isolation wrapper to quarantine failing drives without aborting full runs. Created a Flask REST API for remote orchestration, status polling, and results retrieval, integrated with Ansible provisioning. Developed a drive grading/scoring engine based on wear hours, CRC errors, bad sector counts, and throughput, persisting results keyed by serial number to PostgreSQL, plus per-drive/global debug logging with retry and timeout handling. Released 22 tracked versions (v0.0.0–v1.0.0) while iterating on grading logic, concurrency model, and API surface.
Data Analyst at DataAnnotation.tech
December 1, 2023 - October 1, 2024
Developed automated Python pipelines to validate and clean client datasets, reducing incomplete records by 95% and standardizing inputs for downstream machine learning workflows. Produced recurring Power BI dashboards to track data quality metrics across multiple client engagements.
Senior Design Project (Student) at UrbanITY Lab, UCF
January 1, 2023 - December 1, 2023
Delivered an end-to-end TensorFlow pipeline for infrastructure damage classification, covering data preparation, model training, and evaluation across object detection and semantic segmentation tasks. Built a Python UI workflow for synchronized camera playback with real-time object detection overlays and LiDAR rendering to accelerate review processes.

Education

Bachelor of Science, Computer Science at University of Central Florida
January 1, 2020 - December 1, 2023

Qualifications

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Industry Experience

Software & Internet, Computers & Electronics, Education

Experience Level

Expert
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Expert
Expert

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