Aleksei Grishchenko AI Solutions Architect · Agentic Systems · Automation AI Solutions Architect and Automation Lead with 20+ years in IT, spanning embedded C++, infrastructure, enterprise Java, and applied LLM systems. I take AI solutions from process audit to production: agents, MCP integrations, RAG, evaluation, human-in-the-loop controls, and CI/CD. ──────────────────────────────────────────────────────────── CONTACTS ──────────────────────────────────────────────────────────── Telegram LinkedIn GitHub Personal site ──────────────────────────────────────────────────────────── KEY ACHIEVEMENTS ──────────────────────────────────────────────────────────── • 20+ years in IT across embedded development, infrastructure, enterprise backend, and applied AI • 7+ years in Java development, technical leadership, and architecture; led teams of 10+ engineers • Evolved a back-office platform serving 15,000+ stores and helped decompose a ~12,000-class legacy monolith • Reduced an enterprise build pipeline from 1.5 hours to 30 minutes • 2+ years designing and deploying LLM agents, including code review and acceptance workflows integrated with CI/CD • Founder and mentor of the non-commercial AI practitioner community “Hello, Neural Network?” ──────────────────────────────────────────────────────────── SKILLS ──────────────────────────────────────────────────────────── AI & agentic systems: LLM orchestration, LangGraph, LangChain, CrewAI, OpenAI Agents SDK, Anthropic SDK, RAG, Evals, Human-in-the-loop Integrations & automation: MCP, FastMCP, Tool Calling, n8n, Temporal, Airflow, REST APIs Enterprise engineering: Java 17, Spring Boot, Spring Cloud, Microservices, Kafka, SAGA, PostgreSQL Engineering stack: Python, Java, Go, Docker, Kubernetes, AWS, CI/CD, Linux AI tooling: Codex, Claude Code, OpenAI, Anthropic, OpenRouter, LangSmith, Langfuse ──────────────────────────────────────────────────────────── EXPERIENCE ──────────────────────────────────────────────────────────── Self-Employed — AI Solutions Architect / Automation Engineer 2023 — Present • Design and deploy production agentic systems for enterprise clients, from process audit and prototype through rollout and team handoff • Build agent pipelines, RAG systems, and custom MCP servers over internal APIs and enterprise data • Integrate evaluations, LLM-as-judge, human-in-the-loop controls, observability, and CI/CD • Work with clients across LATAM, Israel, and international SaaS projects; selected case details are protected by NDA LangGraph, LangChain, OpenAI Agents SDK, Anthropic SDK, FastMCP, RAG, LangSmith, Langfuse, n8n, Temporal, Java, Python, Go, Docker, Kubernetes, AWS X5 — Senior Java Developer / Team Lead / Architect Jan 2018 — Apr 2023 • Evolved a back-office platform serving 15,000+ stores • Helped decompose a ~12,000-class legacy monolith into a modular monolith and later microservices • Reduced build time from 1.5 hours to 30 minutes and modernized the stack from Java 7 to Java 17 / Spring Boot • Designed a Spring Cloud store-update delivery system and developed event-driven flows with Kafka, SAGA, and orchestration • Led engineering teams of more than 10 people Java 17, Spring Boot, Spring Cloud, Kafka, SAGA, REST, Maven, Gradle, Swagger, Grafana, PostgreSQL Wellink Company — Java Developer 2016 — 2018 • Developed the backend of an SLA monitoring and reporting platform • Worked with PostgreSQL data processing, Linux deployments, integrations, and network monitoring Java, PostgreSQL, Linux, REST, Monitoring ImportFrut — System Administrator / Infrastructure Engineer Nov 2008 — Sep 2016 • Owned local networking, physical and virtual servers, storage, and POS infrastructure • Maintained reliability, backups, and security across Linux and Windows systems Linux, Windows Server, Proxmox, VMware, iptables, NFS, mdadm, LVM BSKB Vostok — Software Engineer (C++ / DSP) Sep 2004 — Nov 2008 • Developed embedded C++ systems for microcontrollers and contributed to digital signal processing R&D • Worked in an engineering R&D team of more than 20 people C++, DSP, MATLAB, ViewLab, Embedded Systems ──────────────────────────────────────────────────────────── LANGUAGES ──────────────────────────────────────────────────────────── Russian: Native English: Professional working proficiency