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Hiring Manager Packet

ASADI AI LLC — Engineering Leadership

Product Engineering, AI Architecture, Technical Leadership

Based in Yerevan, Armenia — serving global clients

Where I've built:fintech · education · manufacturing · enterprise platforms
What stays constant:governance-first design, reproducible verification, audit-ready evidence

What I Do

  • –Architect governance-first AI systems end-to-end — tenant-isolated RAG, fail-closed policy engines, human-in-the-loop enforcement
  • –Ship at startup speed using agent-driven development, without cutting corners on governance or auditability
  • –Design systems with clear decision boundaries, audit-first traceability, and evidence before autonomy — 7 shipped products across 4 industries

Flagship Case Studies

Truvesta

Dealing-desk intelligence platform — Fintech
Problem: Forex/CFD brokers needed fast, explainable risk signals and defensible decision trails — but their tools were fragmented dashboards on legacy systems with governance enforced only at the app layer.
Key Constraints:
  • •Audit trail must be tamper-evident and verifiable by a third party
  • •Shadow mode is a hard invariant — system observes, never executes trades
  • •Async audit writes rejected: deterministic traceability or nothing
Key Decision: Chose hash-chained, synchronous audit events with DB-level immutability triggers over async logging. Slower per-write, but the audit chain is provably complete and tamper-evident — a requirement in regulated brokerages.
Outcome: Replaced 3–4 fragmented dealer tools with one audit-grade platform. 14+ modules, 50+ screens, 3 user roles. Shipped in 3 weeks. Tamper-evident audit chain verifiable by any third party. Zero shortcut paths.
📎 Live demo + full architecture walkthrough available

Ardura

Broker CRM with AI-driven churn prediction — Fintech
Problem: Broker CRMs fail at retention: they either ignore AI signals or pipe them straight to automation without operator judgment — creating liability when models drift and silent churn when they don't.
Key Constraints:
  • •AI predictions must never auto-execute actions on clients
  • •Every recommendation must show its reasoning (no black-box outputs)
  • •Governance components reused from Truvesta without cutting safety
Key Decision: Built a human-in-the-loop approval queue where every AI-driven retention action requires explicit operator sign-off with full attribution. Traded automation throughput for auditability — the right tradeoff in regulated client communications.
Outcome: Increased retention intervention quality while eliminating autonomous risk. Full CRM shipped in 2 weeks. Complete lifecycle view: acquisition → engagement → risk → retention. Zero autonomous actions — every intervention is operator-approved with auditable decision chain.
📎 Architecture doc + evaluation trace samples available on request

Equira

Multi-tenant AI workspace — AI Infrastructure
Problem: Multi-tenant AI platforms routinely share context across boundaries and let agents chain unchecked — creating data leakage risk and unattributable failures enterprises can't tolerate.
Key Constraints:
  • •Hard tenant isolation at orchestration layer — not just row-level security
  • •Agents cannot skip verification gates regardless of confidence
  • •All handoffs use explicit contracts — no implicit state passing
Key Decision: Enforced tenant isolation at the orchestration layer (not just DB rows) with phase gates between every agent step. Output must pass verification before the next agent runs. Failure halts the chain — agents can't self-promote.
Outcome: Eliminated cross-tenant data exposure risk by design. Every workflow output traceable to inputs, agent decisions, and source data. Governance patterns from fintech generalized into reusable platform infrastructure.
📎 Architecture deep-dive available in interview

Skills Snapshot

Systems

Distributed systems, multi-tenant architecture, event-driven design, state machines

Governance

Tamper-evident audit trails, hash-chained logs, fail-closed policy engines, evidence packs

Data

PostgreSQL (audit-grade schema design), Prisma, immutable event modeling, traceable state transitions

CI / Quality

CI gates that falsify invariants, drift detection, shadow-mode testing, reproducible evidence

Frontend

Next.js, TypeScript, Tailwind, Framer Motion, real-time WebSocket UIs

AI Integration

Agent orchestration, RAG pipelines, human-in-the-loop patterns, evaluation traces

Proof Links

Our Services →Solutions →Technology Stack →Live Governance Demo →

Ready to talk?

30-min architecture deep-dive + mutual fit check. No prep needed on your side.

Schedule a Consultation (30 min) →

hello@asadi.ai · LinkedIn · asadi.ai