I’m an ML Developer who designs and builds production-grade AI systems, especially around Large Language Models, RAG pipelines, and fast, reliable inference. I’ve worked on knowledge assistant platforms that improve faithfulness, authorization latency, and end-user satisfaction, and I enjoy turning research ideas into scalable services used by real customers. Beyond language models, I’ve led end-to-end machine learning projects for computer vision and anomaly detection—counting people in automated checkpoints, monitoring CCTV feeds for unusual behavior, and detecting anomalies in high-volume text logs. I’m comfortable across the stack (Python, cloud, deployment, and performance optimization) and I’m excited to take on new challenges with teams that value engineering quality and measurable outcomes.…

Artemii Velikanov

I’m an ML Developer who designs and builds production-grade AI systems, especially around Large Language Models, RAG pipelines, and fast, reliable inference. I’ve worked on knowledge assistant platforms that improve faithfulness, authorization latency, and end-user satisfaction, and I enjoy turning research ideas into scalable services used by real customers. Beyond language models, I’ve led end-to-end machine learning projects for computer vision and anomaly detection—counting people in automated checkpoints, monitoring CCTV feeds for unusual behavior, and detecting anomalies in high-volume text logs. I’m comfortable across the stack (Python, cloud, deployment, and performance optimization) and I’m excited to take on new challenges with teams that value engineering quality and measurable outcomes.…

Available to hire

I’m an ML Developer who designs and builds production-grade AI systems, especially around Large Language Models, RAG pipelines, and fast, reliable inference. I’ve worked on knowledge assistant platforms that improve faithfulness, authorization latency, and end-user satisfaction, and I enjoy turning research ideas into scalable services used by real customers.

Beyond language models, I’ve led end-to-end machine learning projects for computer vision and anomaly detection—counting people in automated checkpoints, monitoring CCTV feeds for unusual behavior, and detecting anomalies in high-volume text logs. I’m comfortable across the stack (Python, cloud, deployment, and performance optimization) and I’m excited to take on new challenges with teams that value engineering quality and measurable outcomes.

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Experience Level

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Language

Work Experience

Middle ML Developer at Ellexi
November 1, 2021 - Present
Research, design, and development of the “Lexora” knowledge assistant platform for querying company knowledge bases using multiple LLMs (GPT-4, Mistral-7B, Llama 3-13B). Built a RAG pipeline (Python, Jinja2, FAISS), improving faithfulness by +23% and achieving authorization latency under 5ms. Developed “CheckCount” for counting persons moving in cars via an automated checkpoint on the Singapore–Malaysia border, testing object detection architectures and reaching <500ms counting speed using Python, TensorFlow, Azure, and YOLO. Built “Guardian” for anomaly detection in CCTV feeds with multiple neural network architectures (Python, PyTorch, Azure, OpenCV) and implemented a subsystem for anomaly detection in text logs capable of processing 1GB/s with ~3% error rate using TensorFlow, AWS, and Python. Delivered multiple commercially successful systems supporting many client companies and high daily request volumes.
Middle Software Developer at VASTreaming
August 1, 2020 - November 1, 2021
Designed, developed, and tested a ShaderMorph video encoding/decoding solution, utilizing Android, GLSL, and OpenGL ES. Created and optimized VASTreaming libraries (RTB, SRPT, MP4, HLS), implementing large-scale streaming functionality using .NET, Xamarin, and Android tooling. Designed and developed a TURN server for WebRTC implementation (C#, Google WebRTC library, Debian), contributing to a commercially successful cross-platform video streaming library used by multiple clients.
Software Developer at Inchol Solutions
June 1, 2019 - November 1, 2020
Built scripting and orchestration tooling for managing more than 120 Linux servers used for cryptocurrency staking and automation (AWS, Docker Swarm, Bash, Python). Developed a full-stack video streaming website using Angular, C#, and SQL for live video processing, including a substantial backend codebase and database integration.

Education

Computer Science | Artificial Intelligence at Korea Advanced Institute of Science and Technology
January 1, 2020 - July 23, 2026
Computer Science | Artificial Intelligence at Korea Advanced Institute of Science and Technology
January 1, 2020 - September 25, 2026

Qualifications

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Industry Experience

Software & Internet, Computers & Electronics, Professional Services, Government, Transportation & Logistics, Media & Entertainment, Healthcare