What roles is Vassiliy Lakhonin best suited for?

Program Manager, Portfolio Manager, PMO/Program Operations Manager, MEL/MEAL or Monitoring and Evaluation Manager, Compliance Program Manager, and proposal or evidence-systems consulting roles. Adjacent fit includes evaluation operations and agent workflow roles centred on evidence QA and human review.

10+ years in donor-funded and cross-border program delivery, plus current hands-on agent workflow infrastructure. Currently building Agenda Intelligence MD (self-employed, since Feb 2026); most recent employed role was Regional Monitoring and Evaluation (Performance) Manager at DAI (2023-2025) on a USAID-funded multi-country portfolio.

What measurable outcomes does he have?

100% on-time donor reporting for 8 consecutive quarters, 40% reduction in partner submission delays, two external audits with zero findings, and a 25% cut in report preparation time via human-in-the-loop AI workflows.

Program and portfolio operations

10+ years in donor-funded delivery, M&E, audit readiness, and cross-border reporting. I managed performance, partner data quality, and reporting for a $14M USAID-funded regional program across four countries and 15+ implementing partners. Since February 2026 I have also built evidence-checking workflows for AI-assisted review.

Discuss a role ATS resume LinkedIn

$14MMulti-country portfolio scope

8 quarters100% on-time donor reporting

-40%Partner submission delays

2 auditsEvidence prepared; zero findings across the program

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.

Primary role fit

Program / Portfolio Manager
PMO / Program Operations Manager
MEL / MEAL / Monitoring and Evaluation Manager
Compliance Program Manager
Proposal Support / Evidence Systems Consultant

Adjacent fit: Evaluation Operations / AI Evaluation Program Manager and Agent Workflow PM roles where evidence QA and human review are central.

Where the fit is strongest

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: the fit is where AI systems meet evidence, evaluation workflow, operations, source discipline, and human review — not model training or deep-learning research.

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.
Current programme: participant, 5th cohort of AI’preneurs (Almaty Hub accelerator, backed by Astana Hub), July–November 2026.
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 — built the document trail auditors ask for, before they ask.
Audit readiness and internal controls — two external audits closed with zero findings.
Cross-border delivery governance — one portfolio run across four countries and 15+ partners.
KPI tracking and reporting QA/QC — checks that caught partner data problems before consolidation.
Risk tracking and corrective-action workflows — issues logged, assigned, and closed on a cadence.
AI-enabled reporting with human-in-the-loop controls — cut report preparation time by 25%.
Agent workflow implementation and evidence QA — current hands-on work, since February 2026.
Research operations and evaluation-readiness workflows — source planning and claim traceability.

How to verify the record

The CV claims are also published in machine-readable formats so a human, an ATS, or a recruiter LLM can compare the same facts across pages. These files support verification; they are not a readiness score.

Verify, don’t take my word: Candidate Match JSON, Evidence JSON, Resume JSON. Each metric traces to a source.
Current hands-on work: Agenda Intelligence MD checks source references, declared quotes, lexical support, and unmatched numbers before human review. This supports AI-workflow roles; it does not replace the program and M&E record above.