Open to opportunities

Oleh Siloch

@olehsiloch1

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Senior AI and full‑stack engineer building scalable, real‑time multimodal AI systems.

Ukraine

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What I'm looking for

I seek roles building scalable, real‑time multimodal AI products with production ML, strong engineering culture, and clear paths for technical leadership.

I am a Senior AI and Full‑Stack Engineer with broad experience designing and deploying real‑time, multimodal AI systems for web and mobile platforms. I specialize in architecting conversational agents, RAG pipelines, and GPU‑optimized inference backends that reduce latency and operational workload.

At Digital A Go Go I led development of a real‑time voice booking assistant and an AI‑driven conversational platform, implemented secure ingestion pipelines with RBAC and encryption, and improved semantic retrieval using pgvector, Pinecone, and FAISS. I also delivered LLM‑powered support automation that reduced operator workload by ~55% and built live transcription dashboards with Next.js and React.

Previously, I architected multimodal AI backends for personalized video generation, developed biomedical ML models for early cancer detection, and built low‑latency collaborative backends using Django Channels and WebRTC. I focus on production readiness, compliance (HIPAA/PCI DSS), and observability to ensure enterprise‑grade AI deployments.

Experience

Work history, roles, and key accomplishments

Current

Senior AI / Full-Stack Engineer

Current

Digital A Go Go SRL

Jul 2023 - Present (2 years 8 months)

Developed a real-time voice booking assistant and AI conversational platform, reducing operator workload ~55% via LLM-powered summarization and vector search while architecting scalable RAG pipelines and secure ingestion for HIPAA/PCI DSS compliance.

Python fastAPI WebRTC Pinecone Pgvector Redis Docker Prometheus

AI & Backend Engineer

SolveIT

Jun 2021 - Mar 2023 (1 year 9 months)

Architected multimodal AI backends for personalized video generation, cutting rendering latency 45% via GPU inference optimization and building multimodal pipelines with Whisper ASR, TTS, diffusion models, and FAISS semantic search.

Whisper TTS Diffusion Models Faiss Django Channels Redis Kubernetes

Junior AI Engineer

Institute of Molecular Biology and Genetics, NAS of Ukraine

Sep 2018 - Apr 2021 (2 years 7 months)

Developed ML models and preprocessing pipelines for biomedical datasets to support early cancer detection and implemented pose-estimation systems for medical imaging, enabling improved training efficiency and research integration.

Python TensorFlow Computer Vision Model Validation Data Visualization