Available for opportunities

Diyar Makhambetali

Backend Developer

Backend developer with hands-on experience building scalable APIs, LLM-powered services, and data pipelines. Passionate about clean architecture, async systems, and turning complex problems into reliable software.

Diyar Makhambetali

Tech Stack

Skills & Tools

Backend

Databases

ML & AI

DevOps & Infra

Auth. Tools

Data & Analytics

Tools/Libraries

Career

Work Experience

ISSAI

ISSAI

Backend Engineer

Dec 2025Present

Institute of Smart Systems and Artificial Intelligence at Nazarbayev University — research institute building AI-powered products and services.

Baiterek National Investment Holding

Baiterek National Investment Holding

Data Analyst Intern

Sep 2025Oct 2025

One of Kazakhstan's largest national holding companies, managing a portfolio of development institutions and investment funds.

Clario AI

Clario AI

Backend Developer

Apr 2025Aug 2025

AI-powered CRM assistant that analyzes failed deals and generates revival recommendations using LLM, integrated with AmoCRM and Bitrix24.

Work

Projects

Project screenshot

One Click Portfolio Builder with auto-deploy

May 2026 — May 2026

Built a one-click portfolio builder with automated deployment to improve my Docker and nginx skills. How it works: — User submits name + CV at build.makhambetali.com — I review the request — the admin panel shows live server resource usage per user (CPU, RAM, disk), so I can check capacity before approving — A deploy agent spins up Docker containers, runs migrations, parses the CV with an LLM, generates an nginx config, and maps <username>.makhambetali.com — User gets a fully populated portfolio site with their own admin panel to edit content anytime One extra feature on the portfolio: "Check my fit" — paste a job description and the LLM compares it against your CV, shows what matches, what's missing, and gives a compatibility score with a summary for the recruiter.

Project screenshot

smart-duken

Oct 2022 — Dec 2025

SupplyFlow (smart-duken.com) is a web-based SaaS platform for automating supply management, supplier tracking, and financial analytics for grocery stores and small businesses. The platform helps business owners manage suppliers and daily deliveries, track cash and bank prices, control expenses, and monitor financial performance through structured analytics. The goal is to reduce manual operations, minimize errors, and provide clear visibility into business processes. Built as a real-world product with production deployment and scalability in mind.

Project screenshot

AI HSE Analytics Platform

Hackathon

Mar 2026 — Mar 2026

Predictive safety analytics platform for KazMunaiGaz. ML/NLP system for incident prediction and root-cause analysis using real incident data and Korgau safety cards.

Project screenshot

Real-Time Telecom Traffic Anomaly Detection

Hackathon

Aug 2025 — Aug 2025

Real-time anomaly detection pipeline for telecom traffic. Achieved F1-score 0.70, placing 2nd among 80+ teams at Outpeer Tech Weekend.

Targeted Push Notification System for BCC

Hackathon

Sep 2025 — Sep 2025

Personalized banking product recommendation system for BankCenterCredit. Top 10 out of 300+ teams at Decentrathon 4.0 - the largest hackathon in Kazakhstan.

Recognition

Awards & Hackathons

KazMunaiGaz Hackathon — 2nd place (out of 54 teams)

March 2026

National Oil Company KazMunaiGaz hackathon focused on industrial safety analytics. Built an AI HSE Analytics Platform — predictive safety system using ML/NLP on real incident data.

Project:
Award photo

Decentrathon 4.0 — Top 10 (out of 300+ teams)

September 2025

Largest hackathon in Kazakhstan, organized by AI & Digital Ministry. Built a banking product recommendation engine for BankCenterCredit using rule-based scoring on transactional data.

Project:
Award photo

Outpeer Tech Weekend — 2nd place (out of 80 teams)

August 2025

Hackathon organized by Outpeer. Built a real-time telecom traffic anomaly detection pipeline for 7Generation. Achieved F1-score: 0.70, winning 300,000 KZT prize.

Project:
Award photo