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I am a results-driven AI Software Engineer with over 9 years of experience designing, deploying, and scaling intelligent systems. I specialize in Machine Learning, Deep Learning, NLP, LLMs, and full-stack web development using frameworks like FastAPI, Django, Flask, React, Next.js, and Node.js. I have a proven track record in building real-time AI applications, financial trading algorithms, and MLOps pipelines. I have extensive experience deploying robust AI solutions across AWS, GCP, and Azure cloud platforms. I enjoy leading the architecture and development of innovative AI products and am passionate about combining cutting-edge AI with scalable software engineering practices to solve real-world problems.…I am a results-driven AI Software Engineer with over 9 years of experience designing, deploying, and scaling intelligent systems. I specialize in Machine Learning, Deep Learning, NLP, LLMs, and full-stack web development using frameworks like FastAPI, Django, Flask, React, Next.js, and Node.js. I have a proven track record in building real-time AI applications, financial trading algorithms, and MLOps pipelines. I have extensive experience deploying robust AI solutions across AWS, GCP, and Azure cloud platforms. I enjoy leading the architecture and development of innovative AI products and am passionate about combining cutting-edge AI with scalable software engineering practices to solve real-world problems.

Oleksii Spesivtsev

Full Stack Developer, AI Engineer, Developer, +2

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I am a results-driven AI Software Engineer with over 9 years of experience designing, deploying, and scaling intelligent systems. I specialize in Machine Learning, Deep Learning, NLP, LLMs, and full-stack web development using frameworks like FastAPI, Django, Flask, React, Next.js, and Node.js. I have a proven track record in building real-time AI applications, financial trading algorithms, and MLOps pipelines. I have extensive experience deploying robust AI solutions across AWS, GCP, and Azure cloud platforms. I enjoy leading the architecture and development of innovative AI products and am passionate about combining cutting-edge AI with scalable software engineering practices to solve real-world problems.…I am a results-driven AI Software Engineer with over 9 years of experience designing, deploying, and scaling intelligent systems. I specialize in Machine Learning, Deep Learning, NLP, LLMs, and full-stack web development using frameworks like FastAPI, Django, Flask, React, Next.js, and Node.js. I have a proven track record in building real-time AI applications, financial trading algorithms, and MLOps pipelines. I have extensive experience deploying robust AI solutions across AWS, GCP, and Azure cloud platforms. I enjoy leading the architecture and development of innovative AI products and am passionate about combining cutting-edge AI with scalable software engineering practices to solve real-world problems.

Available to hire

I am a results-driven AI Software Engineer with over 9 years of experience designing, deploying, and scaling intelligent systems. I specialize in Machine Learning, Deep Learning, NLP, LLMs, and full-stack web development using frameworks like FastAPI, Django, Flask, React, Next.js, and Node.js. I have a proven track record in building real-time AI applications, financial trading algorithms, and MLOps pipelines.

I have extensive experience deploying robust AI solutions across AWS, GCP, and Azure cloud platforms. I enjoy leading the architecture and development of innovative AI products and am passionate about combining cutting-edge AI with scalable software engineering practices to solve real-world problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Intermediate

Work Experience

Senior AI | Full Stack Engineer at Solveit Business Solutions

March 1, 2024 - Present

Led the full-stack development of a real-time AI-powered call center platform using Next.js, Django, and FastAPI. Architected scalable backend services with PostgreSQL for thousands of daily interactions. Designed responsive UIs with real-time updates via WebSockets for seamless communication between users and AI agents. Engineered transcription workflows, semantic search pipelines, and LLM-driven intelligent query resolution using Google's generative models. Developed RAG pipelines, a smart escalation system for unresolved queries, and led AWS cloud deployments with CI/CD pipelines to ensure high availability and cost-efficient scaling. Additionally contributed to a FinTech platform by developing risk detection and semantic search modules employing RAG architecture, improving search relevance and compliance.

AI & Backend Engineer at Synthesia

March 1, 2024 - August 6, 2025

Built scalable AI backend systems and multimodal pipelines to accelerate personalized video generation and streamline creative workflows. Architected LLM-driven systems to extract plot and emotional nuances from multimedia scripts, enhancing content personalization and automation. Developed scene segmentation and voice intent recognition models to accelerate AI video generation. Led end-to-end development of a multimodal AI pipeline integrating LLaMA 2, Stable Diffusion, Whisper, and TTS technologies. Developed a real-time low-latency backend supporting collaborative video editing with React/Next.js frontend integration. Designed a FAISS-powered asset retrieval engine, markedly improving media asset search relevance and editorial efficiency.

Junior AI Engineer at Institute of Molecular Biology and Genetics, NAS of Ukraine

April 1, 2021 - August 6, 2025

Applied machine learning techniques to biomedical data focusing on gene-based cancer detection and pose estimation for medical imaging systems. Contributed to cancer detection research by creating early-stage ML pipelines analyzing gene expression to identify high-risk genetic markers. Optimized pose estimation models using OpenPose to reduce computational overhead significantly. Collaborated with researchers to integrate ML tools into biomedical workflows and validated models on clinical datasets.

Senior AI | Full Stack Engineer at Solveit Business Solutions

March 1, 2024 - Present

Led the full-stack development of a real-time AI-powered call center platform using Next.js (frontend), Django (admin & auth), and FastAPI (AI services). Architected backend services and database schema in FastAPI with PostgreSQL for scalable performance across thousands of daily interactions. Designed and implemented intuitive UIs in Next.js with TailwindCSS, integrating real-time updates via WebSockets. Engineered real-time transcription with FasterWhisper, semantic search pipelines with Pinecone, and LLM-driven intelligent query resolution using Google's generative models. Developed and deployed RAG pipelines for accurate, context-aware customer support responses. Built a smart escalation system for unresolved queries to human agents that preserved context. Led AWS cloud deployment with EC2, S3, Lambda, and CI/CD pipelines for high availability and cost-efficient scaling. Additionally contributed to Wrepit.co in developing risk detection and semantic search pipelines using RAG archi

AI & Backend Engineer at Synthesia

March 1, 2024 - August 6, 2025

Built scalable AI backend systems and multimodal pipelines to accelerate personalized video generation, reduce rendering latency, and streamline creative workflows. Delivered LLM-driven systems to extract plot elements, emotional nuances, and character dynamics from multimedia scripts for improved content personalization. Developed advanced scene segmentation and voice intent recognition models to enable dynamic visual storytelling. Led end-to-end development of a multimodal AI pipeline integrating LLaMA 2, Stable Diffusion, Whisper, and TTS technologies for multimedia automation. Built a real-time low-latency backend (Django + Channels, <200ms) supporting collaborative video editing with React/Next.js frontend integration. Designed and implemented a FAISS-powered asset retrieval engine improving media asset search relevance and editorial efficiency.

Junior AI Engineer at Institute of Molecular Biology and Genetics, NAS of Ukraine

April 1, 2021 - August 6, 2025

Applied machine learning techniques to biomedical data focused on gene-based cancer detection and efficient pose estimation tools for medical imaging. Built early-stage ML pipelines from gene expression datasets to identify high-risk genetic markers. Assisted in developing pose estimation models using OpenPose for medical diagnostics, optimized models to reduce computational overhead by 50%. Collaborated with senior researchers to integrate ML tools into biomedical workflows and validate performance on clinical datasets.