Open to opportunities

Oleh Siloch

@olehsiloch

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Senior AI and Full-Stack Engineer building real-time conversational systems.

Ukraine

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What I'm looking for

I seek a role building production-grade, real-time AI systems at a collaborative company that values scalability, low-latency engineering, and compliance-focused data practices.

I am a results-driven AI Software Engineer with 9+ years of experience building and deploying intelligent systems that combine advanced AI capabilities with robust backend engineering.

I specialize in real-time voice agents, conversational copilots, RAG pipelines, and scalable MLOps, and I have delivered production systems using FastAPI, Django, Node.js, LangChain, React, Next.js, and cloud platforms.

My work includes architecting low-latency conversational systems, optimizing inference pipelines for speed and accuracy, and implementing privacy-first data ingestion with compliance controls for HIPAA and PCI DSS.

I am passionate about collaboration and innovation, with measurable outcomes such as reducing human operator load by ~55%, cutting rendering latency by 45%, and improving conversational response latency by over 40%.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Digital A Go Go SRL

Jul 2023 - Present (2 years 4 months)

Led design and deployment of an AI conversational platform with real-time voice assistants and RAG pipelines, reducing operator load ~55% and improving conversational latency by over 40%.

fastAPI Django ElevenLabs Pgvector Pinecone Faiss Redis Docker AWS

AI & Backend Engineer

Synthesia

Jun 2021 - Mar 2023 (1 year 9 months)

Architected multimodal AI backends and GPU inference clusters, reducing rendering latency by 45% and enabling scalable automated video generation workflows.

PyTorch Whisper Stable Diffusion Faiss Kubernetes Django Redis GPU Inference Docker

Junior AI Engineer

Institute of Molecular Biology and Genetics, NAS of Ukraine

Sep 2018 - Apr 2021 (2 years 7 months)

Applied ML to genomic and medical imaging data for early-stage cancer detection and pose estimation, improving model efficiency and identifying high-risk markers.