For Recruiters
Evidence systems and AI operations profile with 10+ years in donor-funded and cross-border delivery. I run compliance, audit readiness, KPI governance, and human-reviewed reporting across multi-country programs. Since Feb 2026 I build Agenda Intelligence MD full-time — evidence-readiness tooling for high-stakes AI-assisted decisions — applying the same evidence-first discipline to agent workflows, research operations, and AI-assisted review.
$14MMulti-country portfolio scope
8 quarters100% on-time donor reporting
-40%Partner submission delays
2 auditsZero findings
Why shortlist
- Managed performance and reporting for a $14M multi-country program across 4 countries (DAI, USAID-funded, 2023–2025).
- Delivered 100% on-time quarterly and annual donor reports for 8 consecutive quarters.
- Reduced partner submission delays by 40% through structured reporting workflows and QA/QC.
- Maintained audit-ready evidence for 2 external audits with zero findings.
- Coordinated KPI governance across HQ + 4 country offices + 15+ implementing partners.
- Cut report preparation time by 25% by introducing human-in-the-loop AI reporting workflows.
Best-fit roles
- Program Manager
- Portfolio Manager
- PMO / Program Operations Manager
- AI Operations Manager
- AI Research Operations Manager
- Evaluation Operations / AI Evaluation Program Manager
- Agent Workflow PM / Technical Program Manager, AI Workflows
- Delivery / Transformation Manager
- Operations Manager
- Compliance Program Manager
- MEL / MEAL / Monitoring and Evaluation Manager
- Proposal Support / Evidence Systems Consultant
Best-fit markets
- Consulting / infrastructure / donor-funded teams: proposal support, project coordination, M&E / MEAL, audit-ready evidence packs, stakeholder mapping, capacity-development documentation, Trans-Caspian / Middle Corridor source review.
- IT companies / AI labs / AI research teams: AI operations, research operations, agent workflow PM, evaluation operations, human-in-the-loop QA, claim traceability, source-plan gaps, JSON Schema contracts, MCP / A2A integration support.
- Boundary: not a model-training / deep-learning research profile. The fit is where AI systems meet evidence, evaluation workflow, operations, source discipline, and human review.
Snapshot
- Seniority: 10+ years. Currently building Agenda Intelligence MD (self-employed, since Feb 2026); most recent employed role: Regional M&E (Performance) Manager at DAI (2023–2025) on a USAID-funded multi-country portfolio.
- Location: Almaty, Kazakhstan (UTC+5)
- Work modes: onsite, hybrid, remote
- Regions: Central Asia, MENA, Europe, U.S. (partial overlap), remote-global
- Work authorization: Kazakhstan citizen, remote-global friendly; relocation / sponsorship open to discussion based on role scope
- Contact: vassiliy.lakhonin@gmail.com · LinkedIn
Core strengths
- Compliance and evidence systems
- Audit readiness and internal controls
- Cross-border delivery governance
- KPI tracking and reporting QA/QC
- Risk tracking and corrective-action workflows
- AI-enabled reporting with human-in-the-loop controls
- Agent workflow implementation and evidence QA
- Research operations and evaluation-readiness workflows
What sets this profile apart
Most candidates hand you a CV and ask you to trust the writing. This profile is published as cross-checked, machine-readable evidence — so a human, an ATS, or a recruiter LLM can verify the claims (role fit, metrics, constraints) instead of rating resume style. Research on AI self-preferencing in hiring shows LLM screeners can favour text that resembles their own output; multiple verified surfaces are the countermeasure.
- Verify, don’t take my word: Candidate Match JSON, Evidence JSON, Resume JSON. Each metric traces to a source.
- For LLM / ATS workflows: the AI Hiring Readiness Playbook gives evaluator instructions; an MCP server lets your AI tools query the profile directly.
- Proof I build, not just manage: I ship evidence-discipline AI tooling for strategic-risk analysis — an open-source runtime and four-repo skill portfolio (Global Think Tank Analyst, Central Asia + Caspian Skill, Gulf + Middle East Skill, Agenda Intelligence MD) plus GrantFlow — and six deployed A2A workers on Cloudflare, with the CIS Secondary-Sanctions Exposure browser demo kept public: CIS Secondary-Sanctions Exposure. The AI-lab fit is research operations, evaluation operations, agent workflow implementation, and evidence QA — not a claim to be an ML research scientist.
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