DANIEL AZEMAR Computer Vision & Software Engineer — Real-Time Systems · AI · Agentic Workflows Barcelona, Spain dani@azemar.eu · https://azemar.eu/cv LinkedIn: https://www.linkedin.com/in/daniel-azemar-45772413b/ GitHub: https://github.com/dazca StackOverflow: https://stackoverflow.com/users/5102670/daniel-azemar Concise public version — employer names and some technology specifics are omitted by choice. Full CV available on request: dani@azemar.eu Machine-readable profile for AI agents: https://azemar.eu/llms.txt SUMMARY ------- Engineer with ~8 years taking vision and sensing systems from research into production under real physical constraints. Three converging tracks: space and scientific data pipelines (ESA Euclid ground segment), production computer vision at city scale (30+ edge-AI camera networks, 300+ TB of imagery), and real-time embedded firmware. MSc in Computer Vision, UAB. PROFESSIONAL EXPERIENCE ----------------------- 2023 – present · R&D Software Engineer Industrial embedded-systems manufacturer - Firmware in C/C++ for embedded microcontrollers (low-level, real-time), with latency as a key design driver. - SQL/NoSQL database design for hardware-software data integration, improving query efficiency. - Real-time systems and algorithm optimisation: threading, schedulers, latency-critical workloads. - Cross-platform C#/.NET server infrastructure. 2018 – 2022 · Software, Computer Vision & AI Engineer Smart Cities / Industry 4.0 solutions company - Led Industry 4.0 and Smart Cities projects end-to-end, from research to production deployment. - Real-time computer vision for traffic, safety and environmental monitoring: detection, tracking, image enhancement and classical processing pipelines. - Trained and fine-tuned a wide range of state-of-the-art vision architectures for detection and classification. - Deployed 30+ edge-AI camera networks processing 100k+ daily transactions; scalable pipelines over 300+ TB of self-built datasets; shared edge/cloud framework and monitoring GUIs. 2017 · Software Engineer (intern) Scientific data centre — ESA Euclid Mission - Performance-sensitive validation tools improving accuracy and efficiency of astronomical data processing; data-integrity protocols under high-throughput conditions. EDUCATION --------- 2020 – 2022 · UAB — Mathematics coursework Linear algebra, statistical modelling, optimisation, calculus. 2018 – 2020 · UAB — MSc in Computer Vision Thesis: "From haze to smoke: weakly-supervised smoke detection" PDF: https://azemar.eu/docs/msc-thesis-weakly-supervised-smoke-detection.pdf 2014 – 2018 · UAB — BSc in Computer Science Thesis: "Temporal resolution enhancement of multi-spectral image sequences" Repository: https://ddd.uab.cat/record/196902 SKILLS & EXPERTISE ------------------ Languages C/C++ (C++11/17, Linux/Windows), Python (NumPy, OpenCV, PyTorch), C#/.NET, SQL, MATLAB, JS/HTML/CSS, Bash, PowerShell. AI / Machine learning Object detection & classification architectures, CNNs, transformers, PyTorch, TensorFlow, Keras, scikit-learn, ONNX, fine-tuning, pruning, few-shot learning, optical flow, data augmentation. Data engineering SQL/NoSQL, ETL pipelines, large-scale dataset management, automated labelling, distributed training, Weights & Biases, NumPy, SciPy, Astropy. Systems RTOS, microcontrollers, CUDA, edge GPUs, thread scheduling, latency tuning, board bring-up, hardware-software integration. Infrastructure Git, Docker, CI/CD, Linux, Windows, Cloudflare Workers/Pages/KV/D1, LaTeX. Agentic workflows AI-assisted engineering with agentic coding tools (Claude Code, Copilot, Codex) integrated into daily practice — from prototyping to production automation. Applied in the multi-site web estate at azemar.eu. LANGUAGES --------- Catalan — native Spanish — native English — fluent (Cambridge First Certificate) INTERESTS --------- Astrophysics and physics · Board games · Mountain hiking · Snowboarding Interactive version: https://azemar.eu/cv Full CV with employer and technology detail: dani@azemar.eu Last updated: 2026-09-10