Rauan Kassymkhanov

@rauan

AI Software Engineer

Backend Engineer with 3+ years experience building scalable, async APIs and AI-driven platforms in production.

About

Strong in Python, FastAPI, PostgreSQL, and cloud-native architectures (Docker, AWS), with a track record of leading refactors, shipping RAG pipelines, and driving enterprise rollouts. Comfortable owning backend roadmaps end-to-end, from schema design and async orchestration to incident response and code review.

Career

Experience: 4 years

Experience

Backend Engineer

shai.pro

May 2025 — Present

Led backend refactoring and AI compliance platform development; reduced p95 latency by about 30% and owned an enterprise rollout and production support.

• Reduced backend p95 latency by ~30% by leading a full refactor to a clean, modular architecture and restructuring the repository for better service separation and maintainability. • Built an AI-powered compliance platform leveraging Azure PDF→Markdown processing, RAG pipelines over S3, and Gemini-driven gap analysis for regulatory and SOP documents. • Developed scalable async APIs with FastAPI and PostgreSQL, supporting document versioning, tenant isolation, and automated SOP compliance workflows.

Backend Engineer

NIX Tech

Software development and IT services company.

Jul 2024 — May 2025

Built FastAPI services, optimized PostgreSQL data layers, and improved testing and ingestion reliability across client projects.

• Built RESTful APIs with FastAPI for both client-facing products and internal admin tooling, implementing request validation, pagination, and structured error handling across multiple projects. • Improved query performance and data consistency by designing and optimizing PostgreSQL schemas and indexes. • Increased test coverage for critical services by writing unit and integration tests with Pytest, reducing regressions in production. • Developed ingestion pipelines for structured data and file uploads, improving data processing reliability.

Software Engineer

BARYS

Oct 2022 — Jul 2024

Built and deployed five production systems, including a contest platform for 3,000+ participants; improved an airline search service's performance by about 70%.

• Built and deployed 5 production systems from scratch. • Developed high-load contest platform (3,000+ participants). • Implemented e-commerce system with asynchronous payment notifications. • Designed event-driven workflows using Celery + RabbitMQ. • Improved airline search optimization service performance by ~70%. • Configured CI/CD pipelines and infrastructure (NGINX, HTTPS, SSL, deployment automation).

Education

B.Sc., Electrical (Computer) Engineering — Major in Instrumentation Automation

Óbuda University

2024

Selected projects

AI-Driven Dermatological Diagnosis — Skin Cancer Image Classification

Developed a machine learning model for skin cancer detection, achieving 77% classification accuracy.

AWS Serverless API

Built a scalable serverless API on AWS using Lambda, DynamoDB, and event-driven architecture (EventBridge, SQS).

Book Library

Engineered a library management system with asynchronous backend processes and email notifications.

Social Media Backend (FastAPI)

Designed and implemented a social media backend with user authentication and post management.

Skills

PythonC++BashJavaScriptFastAPIDjango REST FrameworkSQLAlchemyPytestPostgreSQLDynamoDBS3AWS (Lambda, S3, SQS, EventBridge, SAM, SES)DockerLinux/UbuntuGitCI/CDRAG pipelinesGeminiTaskIQNATS