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sirVnK/README.md

Şirvan Kesici

AI Systems Engineer

I build applied AI systems that connect models, software, data, and edge hardware. My portfolio is organized around three career tracks: AI Engineering, Economics & Financial Technology, and Embedded Software Engineering.

LinkedIn · Medium · YouTube · Email

Engineering Focus

AI Engineering

Computer vision, edge AI, audio AI, LLM applications, Azure Machine Learning, YOLO, ONNX, TensorFlow Lite, RTSP analytics, and production-oriented evaluation.

View the AI Engineering portfolio

Economics & Financial Technology

Economic data platforms, financial forecasting, risk analytics, fraud detection, portfolio research, and reliable backend systems for financial applications.

View the Economics & FinTech portfolio

Embedded Software Engineering

C++, Rust, Raspberry Pi, ESP32, embedded Linux, device provisioning, sensor systems, industrial protocols, and edge-to-cloud integration.

View the Embedded Software portfolio

Selected Projects

Project Area What it demonstrates Status
zone-analysis AI Engineering C++, OpenCV, YOLO ONNX, RTSP ingestion, polygon zones, dwell-time events In Progress
hailoai AI Engineering / Embedded Raspberry Pi 5 and Hailo NPU edge-inference benchmarking In Progress
baby-cry-ai-detector AI Engineering Audio classification, source-level evaluation, threshold selection, honest error analysis In Progress · Private
MacroTR Economics & FinTech TCMB EVDS ingestion, FastAPI, PostgreSQL, React, economic data visualization In Progress
Finstack-Starter-Lite Economics & FinTech FastAPI, React, PostgreSQL, Redis, Docker, tests, and CI for financial applications Completed v0.1 · Private
edge-wifi-provisioning-showcase Embedded Software Headless device onboarding, AP-to-STA flow, rollback, and security-conscious documentation Completed
skyvision-control-case-study Embedded / AI Systems Sanitized ESP32, telemetry, Flutter, RTSP, and edge-vision system case study In Progress

Current Direction

  • Make edge-AI projects reproducible with benchmarks, architecture diagrams, tests, and privacy-safe demos.
  • Build finance projects around time-aware validation, interpretable baselines, and clear limitations.
  • Add embedded evidence through protocol implementations, hardware-in-the-loop tests, and documented device constraints.

Tech Stack

Languages: Python, C++, Rust, SQL, Dart, TypeScript
AI & Data: PyTorch, TensorFlow, scikit-learn, OpenCV, YOLO, ONNX, TensorFlow Lite, Azure ML
Backend & Platform: FastAPI, PostgreSQL, Redis, Docker, GitHub Actions
Edge & Embedded: Raspberry Pi, Hailo AI HAT+, ESP32, embedded Linux, RTSP
Frontend: React, Flutter

GitHub Stats

Şirvan Kesici's GitHub stats

Articles and Writing

  • Medium: medium.com/@sirvanksc
  • Planned series: edge AI benchmarks, trustworthy financial ML, and practical embedded systems

Portfolio Links

Contact

For engineering roles, project discussions, and technical collaboration:


Repository status labels describe the current portfolio state. Planned work is listed as planned and is not presented as completed experience.

Pinned Loading

  1. MacroTR MacroTR Public

    Turkish macroeconomic dashboard using TCMB EVDS data with FastAPI, PostgreSQL, and React.

    Python 2

  2. edge-wifi-provisioning-showcase edge-wifi-provisioning-showcase Public

    Sanitized architecture and demo of recoverable headless Wi-Fi provisioning for Raspberry Pi and embedded Linux devices.

    Mermaid 1

  3. zone-analysis zone-analysis Public

    C++ RTSP video analytics with YOLO ONNX, polygon zones, dwell-time alerts, snapshots, and CSV event logging.

    C++ 1

  4. ai-engineering-portfolio ai-engineering-portfolio Public

    Applied AI systems for computer vision, edge inference, audio intelligence, LLM applications, and measurable deployment workflows.

  5. economics-fintech-portfolio economics-fintech-portfolio Public

    Economic data, financial AI, risk analytics, forecasting, and reliable FinTech application engineering.

  6. embedded-software-portfolio embedded-software-portfolio Public

    Embedded and edge software for device networking, telemetry, sensors, industrial protocols, and reliable integration.