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akassymbekova/README.md

Akerke's banner

Hi, I'm Akerke

Backend Engineer · ML Enthusiast

LinkedIn GitHub Email Profile views

About Me

I build backend systems and data pipelines that are reliable, maintainable, and production‑ready. My core interests: clean architecture, ML engineering, and distributed systems.

  • 🌱 Deepening expertise in Go, Apache Spark, and NLP
  • 🤝 Open to backend & data internships and collaborative projects

Tech Stack

Languages

Python Go JavaScript SQL Bash

Frameworks

FastAPI Node.js Express

Databases

PostgreSQL MongoDB SQLite

Infra & Tools

Docker Git Linux VS Code

ML & Data

PyTorch scikit-learn Pandas NumPy Jupyter

Featured Projects

Project Description Tech
Fraud Detection System Production‑ready fraud detection with LightGBM, SHAP explainability, real‑time inference (FastAPI), and Streamlit dashboard. LightGBM, SHAP, FastAPI, Streamlit, Docker
Order Management System Distributed restaurant order management in Go — orders, inventory, sales analytics, clean architecture. Go, PostgreSQL, Docker, REST
Healthcare AI assistant End-to-end Deep Learning pipeline for medical text classification, chest X-ray analysis, generative AI, deployment optimization, and responsible AI. scikit‑learn, deep learning, LSTM
Customer Churn Prediction Distributed ML pipeline on Amazon EMR with Spark ML — feature engineering, model training, ablation study. PySpark, EMR, MLlib, S3
Transport Complaints Classifier NLP classifier for public transport feedback using Logistic Regression with visualisations. scikit‑learn, NLTK, matplotlib, Pandas

🔗 All repositories — includes Go microservices, Markov chains, credit card tools, and e‑commerce backends.

Connect

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  1. home-supplier-backend home-supplier-backend Public

    A secure and scalable backend API for home appliance e-commerce, built with Node.js, Express, and MongoDB, featuring product management, authentication, order processing, and real-time data integra…

    EJS

  2. transport-complaints-classifier transport-complaints-classifier Public

    ML classifier for public transport feedback using NLP and Logistic Regression. Classifies reviews as positive or negative with visualizations.

    Python

  3. fraud_detection_diploma fraud_detection_diploma Public

    Production-ready fraud detection system using LightGBM, SHAP explainability, and real-time inference via FastAPI + Streamlit dashboard.

    Jupyter Notebook

  4. order-management-system order-management-system Public

    A distributed restaurant order management system built with Go.

    Go

  5. AccidentDetector AccidentDetector Public

    Forked from AccidentDetector/AccidentDetector

    Python

  6. healthcare-ai-assistant healthcare-ai-assistant Public

    End-to-end Deep Learning pipeline for medical text classification, chest X-ray analysis, generative AI, deployment optimization, and responsible AI.

    Jupyter Notebook