Available to hire
I am a results-oriented Senior Full-Stack Engineer with 9+ years designing and delivering scalable backend services, distributed systems, and interactive dashboards. I specialize in Python, Node.js, React/Vue and PostgreSQL, with a track record in CI/CD integration, API design, and static analysis orchestration.
I enjoy building real-time, high-performance platforms, improving developer productivity, and mentoring teams to adopt robust full-stack architectures. I focus on data-informed decisions, measurable quality improvements, and reliable systems across multiple product teams.
Skills
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Expert
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Language
Bashkir
Advanced
Work Experience
Senior Python Developer at Ericsson
November 1, 2022 - PresentLed the Python-based Static Analysis Orchestration Platform, integrating Clang analyzers with distributed worker pools, enabling daily analysis of 50M+ LOC, reducing per-PR latency by ~70%, and providing scalable static analysis for multiple projects. Designed and implemented the Report Processing & Fingerprinting Pipeline, normalizing outputs from multiple analyzers, deduplicating ~1M issues across runs, cutting false positives by 40%, and improving triage throughput and developer productivity by ~60%. Built interactive dashboards (React/Vue) for monitoring CI/CD pipelines, analysis throughput, and issue trends, providing real-time visualization, filtering, and reporting, driving data-informed decisions and adoption across 10+ product teams. Integrated static analysis into GitLab/GitHub Actions and Jenkins CI/CD pipelines, enforcing automated quality gates to block 95% of new critical issues, enhancing code quality and reducing manual review effort across teams. Optimized backend serv
Senior Software Engineer at SAP
June 1, 2021 - October 1, 2022Architected a Node.js-based EV Charging Station Simulator, running 100+ virtual chargers with dynamic thread pools, optimizing CPU/memory usage, supporting large-scale testing for multiple projects, and providing a reproducible platform for internal EVSE testing. Developed a React/Vue configuration dashboard for simulator state and multi-phase EVSE setups, maintaining state across 100+ restarts for real-time monitoring, configuration, and visualization. Implemented 25+ OCPP 1.6/2.0 message types with certificate-based authentication and robust state machines, reducing protocol errors by ~40% under high concurrency and ensuring ISO 15118 compliance for simulated EV communication. Built resilient network mechanisms including unlimited retries and exponential backoff, achieving ~99.9% uptime; collaborated with QA to simulate erratic network conditions and validate system robustness. Authored 30+ automated integration tests; mentored 2 junior engineers to increase test coverage by 50% and
Python Developer at Tiger Brokers
July 1, 2019 - May 1, 2021Led backend development of Tiger OpenAPI gateway and Python SDK, enabling web/mobile clients to access trading, account management, and real-time market-data services, designing APIs that ensured low-latency, stable, and secure data delivery. Designed REST and WebSocket APIs supporting thousands of requests per minute, implementing real-time streaming for frontend applications and ensuring reliable communication between SDK, web, and mobile clients. Coordinated with frontend teams to ensure React/Vue client integration, providing structured data, real-time updates, and low-latency responses for interactive trading dashboards and web/mobile applications. Mentored junior developers through 100+ code reviews, pair-programming, and architecture discussions, improving overall team productivity and adherence to design principles for full-stack integration. Delivered 10+ SDK releases with automated unit and integration testing and structured CI/CD workflows, reducing integration issues for in
Software Engineer at Huawei
August 1, 2016 - May 1, 2019Developed and maintained 25+ backend services for an internal AI platform supporting large-scale model training, experiment management, and distributed ML workflows, enabling teams to automate experiments efficiently across clusters. Built React/Vue dashboards for ML job monitoring, visualizing metrics, job status, and performance trends in real time. Designed and implemented 30+ machine-learning workflow modules, including data ingestion, experiment tracking, and distributed training orchestration, reducing manual setup and improving researcher productivity by ~40%. Optimized runtime modules for tens of operations and computation graphs, improving selected training workloads by 15–25% across GPU/accelerator environments. Implemented distributed training infrastructure across 100+ nodes with automated job scheduling, resource allocation, and checkpoint recovery, improving reliability and fault tolerance of long-running neural network experiments. Mentored 6+ engineers through 120+ co
Education
Bachelor of Computer Science at Northwest University
September 1, 2012 - June 1, 2016Qualifications
Industry Experience
Software & Internet, Telecommunications
Skills
Experience Level
Expert
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