Open to opportunities

Ihor Shkromyda

@ihorshkromyda

Message

I’m an AI Engineer building machine-learning and LLM systems for production-ready, real-time applications.

Ukraine

Message

What I'm looking for

I want to join innovative, agile teams and shape impactful AI-driven products—building production-ready ML/LLM systems, deploying scalable solutions on AWS, and integrating RAG and real-time AI into user-facing applications.

I’m an AI Engineer focused on machine learning and LLM integration, with a goal of shipping intelligent systems that work reliably in production. I enjoy turning model capabilities into end-user features, especially when real-time interaction and scalable deployment are involved.

In my recent role as an AI Developer at NID Technologies, I designed AI-driven features for mobile applications (predictive analytics) and integrated AI-powered recommendation systems for e-commerce. I also automated deployment of AI models using Kubernetes, reducing deployment time by 25%.

I build RAG pipelines, fine-tune models, and integrate AI capabilities into full-stack products. I’ve delivered multi-modal AI chatbot experiences with a responsive frontend (Vue + WebSocket streaming) and full-stack AI applications using Chainlit and LangChain, including real-time image diagnostics using PyTorch CNNs.

Before that, I worked as a Full Stack Developer at Agiliway, where I led frontend development (Vue.js, Tailwind CSS) and improved maintainability by refactoring with TypeScript and React.js. I also worked on resilient back-end solutions (Laravel/Symfony, RESTful APIs, Kubernetes/AWS Lambda) and supported smooth deployments via CI/CD on AWS (99.9% uptime).

Experience

Work history, roles, and key accomplishments

AI Developer

Nid Technologies

Dec 2024 - Jan 2026 (1 year 1 month)

Designed AI-driven features for mobile applications and e-commerce, including predictive analytics and recommendation systems that improved user engagement by 15% and conversions by 20%. Automated AI model deployment with Kubernetes and built multimodal chatbot experiences using Vue.js, WebSocket streaming, Chainlit, and LangChain, including PyTorch CNNs for real-time image diagnostics.

Predictive Analytics Recommendation Systems Machine Learning Kubernetes AWS Serverless Architecture Vue.Js WebSockets Chainlit Lang Chain PyTorch CNN Computer Vision

Full Stack Developer

Agiliway

Mar 2021 - Oct 2024 (3 years 7 months)

Built responsive, scalable web applications using React.js and led frontend development with Vue.js and Tailwind CSS, improving delivery speed by 20% and UI responsiveness across platforms. Delivered CI/CD with Jenkins (AWS deployment with 99.9% uptime) and implemented backend services in PHP (Laravel/Symfony), optimizing RESTful APIs and improving performance, including a 40% decrease in response