temirlans1

Improved core infrastructure stability by expanding test coverage using PyTest and containerized test environments with Docker, leading to faster regression detection and increased confidence in deployment pipelines.

Developed a high-throughput backend service enabling users to analyze 50+ risk factors across up to 100 legal entities simultaneously; supported bulk data processing and mass uploads, significantly improving client efficiency and due diligence workflows. Designed reusable API templates to standardize integration with diverse data sources, leveraging FastAPI, Docker, Redis, RabbitMQ, and Crontab for efficient scheduling, message handling, and containerized deployment. Implemented advanced algorithms including binary search, dynamic programming, and graph traversal to optimize data retrieval logic, significantly improving query performance and system responsiveness for complex lookup operations. Built a production-grade REST API using Django REST Framework (DRF) to automate agreement workflows between clients and sales teams, reducing manual intervention and accelerating contract processing cycles.

Integrated a face recognition algorithm into a Raspberry Pi 3 for low-latency edge processing in access control applications. Engineered an autonomous data pipeline on the Pi, enabling seamless synchronization with backend servers over the network. Optimized camera configurations and applied multi-threading techniques, boosting frame processing speed from 5 FPS to 15 FPS, achieving real-time performance on constrained hardware.

Developed a face recognition system for access control, deploying computer vision models on edge devices connected to gate cameras. Implemented and benchmarked 4 distinct face recognition algorithms, combining their outputs for consolidated decision-making. Deployed the solution on Linux-based systems using NVIDIA GPUs and optimized performance with CUDA for real-time inference. Used Python as the primary language for model integration, data preprocessing, and deployment scripting. Developed a real-time intrusion detection system using computer vision and infrared camera data to identify unauthorized access in restricted areas; trained models to recognize behavioral patterns such as fence climbing, and implemented a custom alerting pipeline for security personnel notifications.