01
AI Agents & Agent Orchestration
LLM agents, multi-agent systems, agent orchestration with MCP and A2A patterns, autonomous workflows, tool use, and decision-support systems for product and ops.
Technology & Product Leader · AI Agents · Applied AI · Web3
Building AI agents and autonomous systems that reason, act, and ship real product outcomes.
11+ years in IT. Currently Technical Product Manager of a multi-agent PaaS for enterprise AI agents (NDA), and founder of Moirai Labs — AI-powered product analytics for smart contracts.
01 — About
Applied AI, product, and engineering — at the same table.
I'm Viktor Vanichkov — a technology and product leader with 11+ years in IT, focused on AI agents, applied AI, and autonomous systems. Currently I'm a Technical Product Manager for a multi-agent PaaS that lets enterprise developers build and run corporate AI agents inside a closed perimeter (company under NDA). In parallel, I'm the founder of Moirai Labs, where AI meets on-chain product analytics. Previously, Project Leader at SORAMITSU across CBDC and DeFi programs, and CEO of an AI-startup that I grew to a valuation of over $10M.
My background combines applied mathematics, software engineering, and applied research in reinforcement learning and multi-agent systems. I'm interested in systems that help people and organizations make better decisions: agents that reason and act, analytical systems that explain behavior, and infrastructure that keeps autonomy observable and accountable.
11+
Years in IT
AI
Agents & orchestration focus
$10M+
AI-startup valuation led
MS
Software Engineering · AM&C
02 — What I build
Five surfaces I work across.
02
Applied AI for Products
Turning models, agents, and AI capabilities into shipped product features — from prompt and tool design to evaluation, guardrails, and production deployment.
03
Applied Research Engineering
Reinforcement learning, federated RL, explainable AI, multi-agent coordination, and hybrid GA+RL methods — prototype-driven research turned into working systems.
04
Data & Analytics Platforms
Backend systems and data pipelines on ClickHouse, PostgreSQL, and Kafka. ETL, ingestion, and reporting infrastructure that AI agents and analytics products run on.
05
Web3 & Smart Contract Analytics
Web3 product analytics, smart contract user behavior, cohorts and retention, DeFi product intelligence — the substrate Moirai Labs is built on.
03 — Featured experience
From multi-agent platforms to CBDC, DeFi, and applied research.
Undisclosed (under NDA)
Technical Product Manager — Multi-agent AI Platform (PaaS)
Current
Owning the product for an internal multi-agent PaaS that lets enterprise developers build and run corporate AI agents inside a closed, on-prem perimeter. I drive product strategy, architecture decisions, and delivery across the agent runtime, orchestration, observability, and developer experience.
- Python
- LangChain
- LangGraph
- Langflow
- Langfuse
- Qdrant
- Kubernetes
- Grafana
- Loki
Closed-perimeter deployment, multi-tenant agent runtime, RAG with vector search, agent observability and evaluation, and a developer platform for shipping production AI agents safely inside the enterprise.
SORAMITSU
Project Leader
4.5 years
Project leadership across Web3 and blockchain infrastructure programs. Delivery contexts spanning CBDC, DeFi, multichain wallets, and Layer-1 implementations.
- Delivered a $1M+ DEX program (Klaytn DEX, KIR#13) from concept to testnet release
- Led cross-functional teams across CBDC, DeFi, multichain wallets, and Layer-1 implementations
- Coordinated engineering delivery and client stakeholders on enterprise and government-grade blockchain projects
- Bakong CBDC
- SORA chain
- Polkaswap
- Fearless Wallet
- ADAR
- Hyperledger Iroha
- FUHON
- Kagome
- Klaytn DEX (KIR#13)
AI-Startup
Former CEO
3 years
Led the company across product strategy, business development, and AI product delivery.
- Grew the B2C segment valuation to over $10M through product and business development
- Drove end-to-end product execution from early-stage prototype to market-ready AI product
- Built partnerships and scaled the team to support product growth
RTC Soft Labs
Senior / System Analyst
~1.5 years
Systems analysis and requirements engineering for enterprise software, including IBM Rational Jazz and enterprise testing contexts in large banking and central-bank-style environments.
ES-Leasing
Java Developer — Junior to Senior Engineer
Full-cycle software development in the leasing and financial services domain. Built and maintained enterprise Java applications for core business operations.
- Implemented and deployed a Central Bank system for automated testing — test plan management, test case libraries, and automated test runs
- Built and maintained enterprise Java applications for core leasing and financial operations
- Progressed from Junior to Senior Engineer through full-cycle development ownership
- Java
- Spring
- Enterprise development
- Leasing & finance
Academic & Teaching
MS Software Engineering · Applied Mathematics & Cybernetics
2011 — 2023
MS, Software Engineering — Innopolis University (2017). BS & MS, Applied Mathematics & Cybernetics — KNRTU-KAI (2011/2013). Teaching Assistant at Innopolis University (incl. MSD, Fall 2022–2023) and KNRTU-KAI.
- Reinforcement Learning
- Federated RL
- Explainable AI
- Multi-agent systems
- LLM agents
- GA + RL
04 — Current build
Moirai Labs — product analytics for smart contracts.
Moirai Labs is a B2B SaaS for smart contract product analytics. Think of it as Mixpanel for Web3 — built for product, growth, and marketing teams behind on-chain products.
Web3 teams know that transactions happen. They rarely know who their users are, how cohorts behave, which contract methods drive engagement, where users churn, or whether a product change moved the needle.
Moirai Labs answers those questions. We analyze DAU/MAU, unique users, new wallets, cohorts and retention, churn, smart contract method usage, failed transactions, gas usage, and transaction dynamics across methods, cohorts, contracts, and chains.
05 — Research & systems thinking
Research as a builder — ideas that survive contact with real systems.
My research interests are centered on autonomous decision-making systems: reinforcement learning, federated RL, explainable AI, multi-agent coordination, and agent architectures that can reason, act, and improve over time.
I'm most interested in ideas that survive contact with real systems — prototypes that turn into measurable products, and theory that informs how autonomous systems are deployed, observed, and held accountable.
- 01Applied RL for autonomous workflows
- 02Hybrid genetic-algorithm + RL methods
- 03LLM-based agent orchestration
- 04A2A and MCP infrastructure
- 05Explainability in multi-agent decision-making
- 06Federated reinforcement learning
06 — Selected collaboration areas
Open to selected conversations where this experience can be useful.
For AI teams & founders
LLM agents, agent orchestration (MCP, A2A), multi-agent systems, autonomous workflows, AI product design, evaluation, and bringing AI features to production.
For research collaborators
Applied RL, federated RL, explainable AI, multi-agent systems, agent architectures, and turning research prototypes into shipped systems.
For Web3 teams
Smart contract product analytics, user behavior, cohort and retention analysis, AI-driven on-chain product intelligence via Moirai Labs.
For investors & leadership opportunities
Moirai Labs, AI-agent products, autonomous analytics, and selected technology and product leadership roles in AI and deep-tech.
07 — Contact
Get in touch.
The best way to reach me is by email, or via the channels below.