ARarkptz 1
@arkptz1
Senior software engineer specializing in high-load systems, crypto infrastructure, and ML-driven trading.
Russian FederationWhat I'm looking for
I am a senior software engineer with eight years of Python in production, focused on building high-load systems and crypto infrastructure. I have led infrastructure migrations, designed microservices architectures, and delivered 20+ DeFi protocol integrations while maintaining 99% uptime for services serving 10,000 users.
I combine backend engineering (FastAPI, asyncio), systems programming (Rust, Go), and infrastructure (Kubernetes, FluxCD) with applied ML for quantitative trading using a self-collected 260M+ datapoint dataset. I prioritize reliability, observability, and automation to accelerate integrations and scale production systems.
Experience
Work history, roles, and key accomplishments
Python Developer / Tech Lead
Freelance
Jan 2018 - Present (8 years 1 month)
Delivered production crypto systems including wallet orchestration (2,000+ EVM wallets, 5,000+ tx/day), CEX arbitrage trading systems, payment gateways, and ML data pipelines with a 260M+ datapoint dataset for model training.
Head of IT Infrastructure
Fenixwb
Oct 2024 - Sep 2025 (11 months)
Inherited legacy systems and delivered production-grade infrastructure serving 10,000 users with 99% uptime; migrated Celery+MongoDB to Temporal.io+MySQL enabling 200 tasks/sec and rewrote a POW solver in Rust to cut a 2s bottleneck to 0.1s.
Python Developer / Tech Lead
Vitrinagram
Nov 2022 - Aug 2024 (1 year 9 months)
Built backend infrastructure for a Telegram MiniApp platform with horizontally scalable architecture handling 1,000+ concurrent users per store and implemented GitOps to reduce deploy time from hours to minutes.
Education
Degrees, certifications, and relevant coursework
NFNew York Institute of Finance
Professional Certificate, Machine Learning / Trading
Enrolled in Reinforcement Learning for Trading and ML in Trading and Finance courses (in progress).
Stanford University (Coursera Machine Learning Specialization)
Certificate, Machine Learning
Completed the supervised learning (regression & classification) course as part of the Machine Learning Specialization on Coursera.
Tech stack
Software and tools used professionally
Availability
Location
Russian FederationAuthorized to work in
Job categories
Skills
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