Available for workAstana, KZ

Alimkhan
Slambek

Backend engineer building APIs, automation systems, and AI-powered tools.
Experience scaling production systems to 10,000+ users.

10K+

Users scaled

35%

Latency cut

99.5%

IDS accuracy

GitHubLinkedInEmail

Selected work

Projects

AI Project Tracker

AI

Self-hosted task manager running local LLMs (Qwen 2.5) via Docker. Generates roadmaps fully offline — no external API keys.

FastAPIDockerLlama.cppNext.js

Graff Piatto

Production

E-commerce platform with scalable backend, authentication, and optimized data handling for high-load usage.

Next.jsNestJSTypeScriptPostgreSQL

Hybrid Network IDS

Research

MSc thesis project. Real-time intrusion detection with LSTM + Random Forest hybrid. 99.5% accuracy on UNSW-NB15.

PythonTensorFlowCybersecurityStreamlit

Savoa Automation

Shipped

Telegram automation system serving 10,000+ users with onboarding funnels, subscriptions, and high-load async processing.

PythonAiogramAutomationPostgreSQL

Where I've worked

Experience

Jan 2024 — Present

Full-time · Astana

Software Engineer

savoa.kz

  • Architected scalable backend (FastAPI + PostgreSQL) serving 10,000+ active users
  • Docker + Redis infra reducing API latency by 35%
  • iOS ↔ Next.js sync layer for consistent cross-platform state
  • Telegram automation handling 5,000+ concurrent requests

Oct 2023 — Jan 2024

Contract · EMEA Remote

Software Engineer

Freelance

  • NestJS backend for luxury e-commerce under high load
  • 25% DB perf gain via PostgreSQL query optimization + Prisma ORM
  • JWT auth, RBAC, Redis session caching for thousands of concurrent users

Feb 2023 — Sep 2023

Full-time · Remote

SWE & Penetration Tester

Confidential (NDA)

  • Secure i18n web platform in TypeScript under strict anonymity requirements
  • Penetration testing and vulnerability assessments — critical risks mitigated
  • Security architecture hardening for sensitive user data

Academic

Research

Technical Sciences Journal · May 2024

Advanced Artificial Intelligence Techniques for Network Penetration Detection

AI-driven IDS framework combining ML and behavioral analytics. Achieved 99.5% accuracy on the UNSW-NB15 dataset with significantly reduced false positives.

Published

Technologies

Stack

Backend

  • Python · FastAPI
  • PostgreSQL · Redis
  • Docker · Linux

Frontend & Mobile

  • TypeScript · React · Next.js
  • Swift · SwiftUI (iOS)
  • REST APIs · WebSockets

AI & ML

  • LLM Integration
  • Local AI (llama.cpp)
  • Basic ML (TensorFlow)

Security

  • Penetration Testing
  • Vulnerability Assessment
  • JWT · RBAC · Cryptography
  • Secure Architecture

Background

Education

MSc Computer Science & Engineering

Neural Networks · Generative Algorithms · Big Data

Astana IT University

2023 — 2025

BSc Cybersecurity

Secure Architecture · Cryptography · Network Security

Astana IT University

2020 — 2023

Communication

Languages

EnglishTechnical Proficiency
KazakhNative
RussianFluent

Let's build something.

Open to backend engineering and AI systems roles. International opportunities welcome.

Get in touch