Available for work

Enterprise AI Platforms That Turn Strategy Into Production

Daniel Tsarov

Staff / Principal AI Product · Agentic Systems · Forward-Deployed

From requirements to deployment - traceable, auditable, production-grade AI

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Beyond POC. In Production.

Real systems delivering real value

ENIA — Enterprise AI Agents Platform

ENIA — Enterprise AI Agents Platform

  • Visual workflow builder for AI agents — nodes, variables, routing
  • Multi-agent orchestration with human-in-command control
  • MCP / API tool execution, on-prem inside the client perimeter
  • Audit-ready traceability: data lineage, approvals, decision rationale
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Requirements Machine — Idea to Enterprise-Ready Backlog

Requirements Machine — Idea to Enterprise-Ready Backlog

  • AI agent that turns a feature idea into Jira Epics & User Stories
  • Reads both repositories and the existing Jira backlog before writing anything
  • Gherkin acceptance criteria (Given/When/Then), matched to the team’s own style
  • Generates a wireframe PNG of the proposed UI from the same analysis
  • Human-in-command: proposes, waits for approval, then publishes
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Second Brain — Persistent Memory for an AI Collaborator

Second Brain — Persistent Memory for an AI Collaborator

  • Two-layer memory: an explicit cloud corpus plus an implicit persona layer
  • 1,729 facts captured from real work — no curated dataset, no hand-maintained prompt
  • Recurring facts distil into 29 active, reusable engineering principles
  • Same base model, measurably different behaviour — the corpus is the difference
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AISH — AI Software House

AISH — AI Software House

  • Enterprise-grade quality for small and growing businesses
  • We don't build apps. We solve business problems and drive growth.
  • Digital team members with empathy — not bots generating code
  • Communication designed on neuroscience principles
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AI Evaluation Machine — Correctness, Not Just Plausibility

AI Evaluation Machine — Correctness, Not Just Plausibility

  • Evaluation framework for a production RAG assistant (Top-5 global CPG client)
  • Core thesis: similarity ≠ correctness
  • Red-team & resistance batteries, retrieval-defect diagnosis, scoring rubrics
  • Delivered inside a top-tier global technology services company
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Production RAG Assistant — From Demo to Dependable

Production RAG Assistant — From Demo to Dependable

  • Hardened a production RAG assistant for a Top-5 global CPG client
  • Security assessment: surfaced a live auth bypass and exposed credentials
  • Retrieval & prompt improvements; ReAct agent optimization (~2.9x faster)
  • Went from external assessor to first merged contributor PR
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Job-Hunt Agent — A Forward-Deployed Agent, With Me in Command

Job-Hunt Agent — A Forward-Deployed Agent, With Me in Command

  • Scans official ATS APIs (Greenhouse / Lever / Ashby) — 2,300+ real roles, legally
  • Transparent matching: profile fit + seniority/comp tier + relocation fit
  • Human-in-command cockpit with an in-app command console
  • Novel architecture: the agent’s brain runs on a subscription, not a paid LLM API
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Atlas — CDP Analytics Orchestrator

Atlas — CDP Analytics Orchestrator

  • Orchestrator agent: a plain-language request → a delivered dashboard
  • 613× cost reduction · 54M+ records → dashboards in ~4 minutes
  • Snowflake data access via MCP · Azure DevOps work-item sub-agent
  • Human-in-command: approval required before every step
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Business Case Maker — Multi-Agent Orchestrator

Business Case Maker — Multi-Agent Orchestrator

  • Multi-agent orchestrator: a request + a domain → a ready-to-build workflow
  • Analyst agents read the target platform (nodes, APIs, UI) to ground every scenario
  • Domain researcher finds real business cases; scenario generator drafts the flow
  • Human-in-command: you pick the scenario, approve or edit, before publish
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Core Expertise

AI Product Leadership (Staff / Principal)

Owning AI products end to end — 0→1 to scale, from vision to production

Multi-Agent & Agentic Systems

Orchestrated AI agents for complex enterprise workflows, with human-in-command control

Forward-Deployed Delivery

Embedded with the client and users — shipping the fix, not just the findings

AI Evaluation & Quality

Red-teaming, RAG quality, and root-cause diagnosis — correctness over plausibility

Enterprise AI Integration

RAG pipelines, MCP / tool-calling, policy gates, and on-prem deployment at scale

AI Governance & Traceability

Compliance, auditability, and decision traceability for regulated environments

Get In Touch

Have a project in mind or want to collaborate? Send me a message!