Denis K.

Video Surveillance, CCTV, Computer Vision, OpenCV, AI – I build CCTV, object detection, and real-time video systems that scale. 14,700+ hours and $600K+ earned on Upwork. 100% JSS, Top Rated Plus. 15 years of senior engineering + Spec-First Agentic Engineering. ⚡ 𝗙𝗿𝗲𝗲 𝗣𝗥𝗗. 𝗠𝗩𝗣 𝗶𝗻 𝟳-𝟭𝟰 𝗱𝗮𝘆𝘀. 𝗙𝗿𝗲𝗲 𝗰𝗼𝗱𝗲 𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗿 𝗮 𝟮-𝘄𝗲𝗲𝗸 𝘁𝗿𝗶𝗮𝗹 𝗼𝗻 𝗮𝗻 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲.

⚠️ Press the Invite button on my page and let's talk about your project.

𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀
→ VALT - enterprise CCTV and video surveillance SaaS. 770 organizations, 50K+ users, 2,500 IP cameras. Grew from a $1M launch year to $9M ARR. Motion detection, HIPAA/GDPR storage, 12-year partnership.
→ MindBox - smart video surveillance with AI analytics. Anomaly detection, facial recognition, and forensic search across 50+ deployments with live camera-map feeds.
→ Tennis analytics - a computer-vision pipeline that tracks players and the ball from match video for automated stats.
→ ALDA - generative AI course builder. Co-designed with 70+ U.S. educators; partner schools serve 500,000+ students. +20% educator efficiency.
→ BrainCert - world's first WebRTC + HTML5 LMS. $3M revenue, 100K+ customers, 500M+ classroom minutes.

𝗜 𝗔𝗺 𝗠𝗼𝘀𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 𝗜𝗻
→ Video Surveillance and CCTV - custom CCTV SaaS with secure storage, IP-camera ingestion, motion detection, and forensic search
→ Computer Vision and Object Detection - OpenCV, YOLO, TensorFlow, PyTorch for anomaly detection, face recognition, background blur, and incident alerts
→ AI Full-Stack Apps - OCR, real-time translation, autonomous agents, and object recognition on top of video
→ Video Streaming and Players - RTMP, HLS, WebRTC, sub-second latency, custom players on AWS
→ E-Learning, EdTech, and Virtual Classrooms - LMS and course authoring, curriculum and instructional design, live WebRTC and Agora classrooms, interactive whiteboards, AI grading and assessments, generative-AI courses, SCORM/LMS integrations

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗦𝗽𝗲𝗰-𝗙𝗶𝗿𝘀𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁
I work spec-first, not vibe-first. I write the technical spec and architecture before any code is generated. Then I drive AI agents (developer, tester, analyst) against strict guardrails to produce production-grade code. The hard parts I handle or verify myself: real-time computer vision, OpenCV detection pipelines, and high-load video backends. You get the speed of AI with the stability of a senior engineer.

𝗛𝗼𝘄 𝗪𝗲 𝗦𝘁𝗮𝗿𝘁 30-min discovery → spec-first plan with architecture and a ±10% estimate → AI dev environment with guardrails → MVP with CI/CD and a 2-week demo cadence.