Oleksandr Shestopal

I am a Senior Fullstack AI/ML Engineer with over 10 years of experience architecting, developing, and
deploying scalable AI-powered web, mobile, and cloud applications. My expertise spans the full
technology stack—from frontend and backend engineering to machine learning model training,
inference optimization, and end-to-end integration of intelligent systems into production environments.
I specialize in building fullstack AI solutions that seamlessly combine modern web frameworks (React,
Next.js, Node.js, FastAPI, Django) and cross-platform mobile technologies (Flutter, React Native, Ionic)
with advanced AI/ML frameworks such as PyTorch and TensorFlow. My focus is to deliver robust,
high-performance systems capable of real-time decision-making, visual analysis, and interactive user
experiences.
Within the AI domain, I have extensive experience in computer vision, LLMs, image and video
generation, and voice AI. I design and train custom models using tools like Roboflow, YOLO,
Detectron2, Stable Diffusion, ComfyUI, Invoke AI, Runway, and LangChain, integrating them into
cloud-deployed applications. In parallel, I develop advanced voice and speech AI systems leveraging
OpenAI Whisper, ElevenLabs, Deepgram, and Twilio, enabling real-time voice synthesis, transcription,
and conversational AI agents with WebRTC and WebSocket architectures.
My backend expertise includes building cloud-native AI microservices on AWS, Azure, and GCP,
deploying via Docker and Kubernetes, and implementing RAG pipelines, vector databases (Pinecone,
FAISS), and LangChain orchestration for scalable AI inference. I emphasize system performance,
observability, and low-latency architecture across all AI workloads.
With a strong foundation in software engineering, machine learning, and intelligent interface design, I
deliver production-ready AI systems that unify vision, language, and voice into cohesive digital
experiences.