Alfais Adilkhan
Edinburgh economics graduate, from Astana. Software and financial models; most recently COO of an ed-tech startup.
Education
Upper Second-Class Honours (2:1). Coursework: Statistical Methods for Economics; Business Analytics and Information Systems.
38/45, high honours. Financial Times Student Advocate; Student Council; built the school's mentoring website.
Experience
Led B2G sales and signed 129 schools in five months, generating KZT 150m (c. USD 330k) in revenue.
Set up the sales route for state schools through goszakup, Kazakhstan's public procurement portal: technical specification, contract template and pricing.
Negotiated contracts with schools; managed a small team responsible for onboarding and delivery.
Built a six-agent AI system with document retrieval that drafts commercial proposals and marketing strategy documents.
Built and deployed a Russian/Kazakh archive search demo (archive.alfais.uk): hybrid full-text and vector search, cited answers, a scanned-page viewer.
Supported lawyers on three large court cases: drafted motions and appeals, prepared case files, attended hearings.
Built a desktop application for the firm (Python, JavaScript, Supabase): meeting transcription, case and deadline tracking, search across case materials for inconsistencies. Used on live cases; saved lawyers hours of manual review.
NPV and free-cash-flow scenarios in the 2024-2029 development plan: a USD 5m rig reactivation and a five-year offshore contract with expected revenue of c. USD 100m.
Redesigned the 19-slide plan presentation for senior management; created the company's Wikipedia page.
Organised six meetings with senior officials (Ministry of Defence, National Guard, State Security Service, National Security Committee, Navy) and prepared field tests; the meetings led to a cooperation agreement and the sale of 50 drones worth USD 2.4m.
Interpreted day to day across a 15-person team; helped plan and delegate so preparation finished 30% ahead of schedule.
Interpreted STM's three-hour presentations of its 12-section product catalogue to government officials; the relationship led to an exclusivity agreement.
Translated 20+ documents, including USD 2m of contracts, and drafted business letters with the CEO.
Projects
Portfolio analytics (TWR, MWR, VaR, drawdown), optimisers (minimum variance, Markowitz, hierarchical risk parity), option pricing with Greeks, regime detection with a hidden Markov model, DCF on SEC filings. 115 known-answer tests.
Consumer app and merchant dashboard in Kazakh, Russian and English; QR-code pickup, scheduled listings; access rules enforced in the database across 15 tables.
Crawls Kazakhstan's main property and car listing sites four times a day and records the price history the sites do not keep; 90,000+ listings and 51,000+ price changes tracked.
Eleven Telegram tutor bots, one per topic plus a study coach, each limited to its own volume through retrieval; a web dashboard tracks exam readiness by topic.
Three AI analysts (quantitative, sentiment, fundamental) review a live portfolio each morning in a Telegram group and produce a written briefing.
Three.js WebGPU with automatic WebGL2 fallback, a TSL shader pipeline, a scroll-driven camera, GSAP and Lenis. Designed, written and shipped by one person.
Leadership
Co-founded the university's first Central Asian society and grew it to 30+ members with the Embassy of Kazakhstan; financial reports and spending for 6+ events a year, including Nowruz.
Equity research report on Take-Two Interactive (TTWO) in Excel with Capital IQ data: DCF, comparable-company and EBITDA analysis.
Skills and interests
Python, TypeScript/JavaScript, HTML/CSS, SQL (PostgreSQL, MySQL), R, Stata, Excel, Access, Capital IQ.
AI and data: LLM APIs (Claude, OpenAI), retrieval-augmented search, multi-agent systems, Claude Code, Supabase, Cloudflare Workers.
Russian and English (fluent); Kazakh and French (conversational).
Five-a-side football, reading, debating, competitive gaming, technology.