AI Solutions Architect | Algorithmic Trading Systems, TradeOps & Reliability

I design, build and operate AI-assisted systems where explicit controls, observability, security, failure handling and protected implementation boundaries matter.

• Hands-on programming across C, C#, Python, VBA and PHP, plus web/API integration, since 2008
• Linux/Bash scripting and administration foundation since 2010
• Algorithmic-trading domain work, Google Sheets API and Pine Script since 2016
• HaasScript development and project-based private-user work since 2022
• Hands-on production engineering in AI/TradeOps systems since 2023

The earlier dates describe technical and practitioner foundations. I do not represent them as continuous production-software employment.

• Forward-deployed AI and solution architecture
• Quantitative research-to-production and algorithmic trading systems
• Probability, statistics, time series and bias-aware strategy validation
• Backtest bias, slippage and market-impact assumptions
• Event-driven simulation and deterministic replay
• Python data workflows with pandas and Polars
• Product R&D from discovery to production operation
• Python integrations, analytics and operational tooling
• Confidential external control and operations layers
• MCP-based execution integration and connector-oriented delivery
• Proxmox, Linux internals, Docker and multi-provider production infrastructure
• Concurrency, CPU/cache behavior and networking diagnosis
• Structured telemetry, audit trails, reporting and incident analysis
• Risk gates, human approval and controlled production changes

Since 2023, I have designed, implemented and operated a confidential external AI/TradeOps control and operations layer. HaasOnline TradeServer served as the third-party execution core and the first proven connector through an MCP-based integration boundary, validated in laboratory and production environments.

The production context includes:

• approximately 60 dedicated servers and cloud instances across Hetzner, Google Cloud, OneProvider, Vultr, DigitalOcean and Contabo;
• Proxmox where applicable, Linux and containerized services;
• HaasOnline TradeServer as the third-party execution core and first proven connector;
• an MCP-based integration boundary validated in lab and production;
• an evidence base spanning 11,900+ tested bot configurations/candidates and 589 selected candidates across documented reporting periods;
• modular algorithmic trading systems in HaasScript/Lua;
• probability, statistics and time-series analysis;
• backtest-bias controls, slippage and market-impact assumptions;
• event-driven simulation and deterministic replay;
• pandas/Polars market, telemetry and operational analysis;
• analysis, historical validation and testing;
• SIM/paper stages, risk gates and human approval;
• controlled live workflows;
• protected structured operational visibility and reporting;
• access, security, backup/recovery and incident operations;
• two years of continuous client reporting.

The public case is intentionally black-boxed. It proves production scope, ownership and engineering depth without exposing the commercial proposal, implementation architecture, MCP tool list, commands, schemas, mappings, configuration logic, source code, proprietary trading logic or investment-return claims.

The scale figures describe documented research and operating volume. Historical return figures are deliberately excluded from this public profile.

Since 2022, I have also worked project-by-project with private Haas users to:

• turn an incomplete trading idea into explicit requirements and acceptance criteria;
• develop, transfer, review or modularize HaasScript systems;
• separate strategy, execution, risk and portfolio concerns;
• define historical, test/SIM/paper and controlled-operation paths;
• troubleshoot scripts, configuration and operating behavior;
• add external Python/AI/API, analytics or reporting capabilities when relevant.

Client strategies, code, results and private communications are not published. A verified link to the historical public service announcement and other authored community contributions may be added when URL, date and authorship are confirmed.

A black-box production proof repository containing:

• a non-reproducible case overview;
• my personal contribution and third-party ownership boundary;
• production evidence classes;
• reliability principles;
• the portability boundary for future connectors;
• an explicit disclosure policy.

The repository does not contain a detailed architecture, source code, schemas, commands, interface contracts, configuration logic, telemetry examples, runbooks, postmortems, executable adapters or simulators.

Additional execution engines can be integrated subject to supported APIs or protocols, licensing, security review and a paid implementation and validation phase. This is a delivery capability, not a claim that other connectors already exist.

Python · pandas · Polars · Probability · Statistics · Time Series · Backtesting · Event-Driven Simulation · Deterministic Replay · HaasScript/Lua · C · C# · Bash · Pine Script · Google Sheets API · AI/LLM · HaasOnline TradeServer · Linux Internals · Concurrency · CPU/Cache · Networking · Proxmox · Docker · Google Cloud · Multi-Cloud Infrastructure · Telemetry · Reliability

My public target is quantitative research-to-production, algorithmic trading systems, execution/risk platforms and reliability. Algorithmic-trading experience since 2016 is domain evidence; it is not a substitute for institutional low-latency production proof. I do not use HFT Developer as a headline without evidence such as direct market access, high message rates, measured latency targets and production low-latency C++.

Public materials are Level 0 black-box evidence. Redacted technical evidence is shown only in a confirmed interview; client-specific design is disclosed only after qualification, contractual confidentiality and payment.

I combine more than two years of hands-on production engineering with an earlier 12-year foundation in B2B sales, commercial development, product management and project leadership. Since 2019, I have also provided selective private SME consulting on process improvement, sales effectiveness, organizational structure and implementation.

My formal education includes a Specialist Diploma in Radio Engineering; a master’s degree in cybersecurity, cryptography and network/communications analysis; a specialist qualification in SME management; and a master’s degree in accounting/audit, finance and banking. I also completed MBA-level executive education and professional coursework in Ukraine during 2015–2018 (non-degree).

Languages: Russian and Ukrainian native; English working intermediate; German and Spanish basic with written translation support.

My strongest operating model is:

discover → frame → design → build → validate → deploy → operate → improve

• GitHub: https://github.com/xxxalf
• Email: jast3618@gmail.com -WhatsApp: https://wa.me/4915123551716
• Discord: @x.01.001k
• Remote across global time zones
• Relocation within 1–2 days