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Dmytro K.

@dmytrok83

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AI Focused Full-Stack Developer | Web & Mobile

$40 USD / Hour

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Poland (2:51 PM)

Joined on November 20, 2025

$40 USD / Hour

✳️ Expert Full Stack and AI Chatbot Developer passionate about EdTech & SaaS solutions | 100% Job Success ✳️ I help founders build revenue-ready MVPs in 2–3 months. Recently built an AI-powered Fitness Coaching App and an E-learning platform for SAT/ACT test prep in collaboration with a team of Stanford PhDs. I work with clients ranging from early-stage startups to large enterprises, helping them build AI applications, chatbots, assistants, NLP tools, RAG systems, AI agents, knowledge bases, and other AI-powered solutions. Here are a few examples of my projects: - AI-powered SAT/ACT prep platform with personalized learning, real-time feedback, and progress tracking. - Microsoft Dynamics 365 - based AI assistants, integrated with SharePoint and custom RAG systems for internal company use. - AI fitness coaching app with personalized training plans, goal tracking, food photo analysis for calories, and body progress tracking. - AI pre-qualification assistant for insurance claims. Uses natural language processing to guide customers through reporting incidents, collects details about accidents and injuries, and recommends next steps and routes them to the right representative. - RAG AI chatbot for film and TV research. Search across 250,000 titles to find and discuss specific dialogs, scenes, and tropes word-for-word. - Voice-driven coaching and sales training apps with AI. - Voice-enabled ordering and POS system for grocery drive-thru, built with React Native for Android. Customers shop from their cars using voice commands, with real-time inventory and streamlined order processing. - RAG systems for construction, legal, and energy companies. Technical Stack: 🔹 Generative AI Development: OpenAI & ChatGPT, Anthropic & Claude, Mistral, Llama, LangChain 🔹 AI Voice Agents: ElevenLabs API, Whisper AI API (STT/TTS), VAPI, OpenAI API 🔹 Full Stack Development: JavaScript (ES6+), React.js, Node.js, TypeScript, Next.js 🔹 Mobile Development (Android/iOS): React Native, Swift, Kotlin 🔹 Databases: MongoDB, PostgreSQL, ElasticSearch, Redis, SharePoint 🔹 Communication APIs: Twilio, RingCentral, Zoom Phone, WhatsApp, Telegram 🔹 Email Integrations: Gmail, Outlook, iCloud Mail 🔹 Security & Compliance: GDPR, HIPAA, PCI-DSS, SOC 2, FERPA/COPPA Working together, I’ll dig deep to understand your business, both technically and strategically. I’ll give you my honest opinion on your project plan, highlighting any potential pitfalls I see If this sounds like what you’re looking for, let’s discuss your idea. 🎙️Talk soon!

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Experience

Sr. AI/ML Software Engineer

Aug, 2024 - Present

1 year, 9 months

Visa

Aug, 2024 - Present

1 year, 9 months

* Deployed and optimized ML pipelines on AWS (Lambda, EMR, EC2, EKS, S3) for structured and unstructured data at scale. * Designed CI/CD pipelines with GitHub Actions + Docker/Kubernetes, automating deployments of ML models into production. * Implemented ML monitoring solutions (Grafana, CloudWatch, Datadog), improving observability and uptime. * Collaborated with data scientists to package, containerize, and deploy computer vision and NLP models to AWS EKS.

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Poznan, Poland

Aug, 2024 - Present

1 year, 9 months

Machine Learning Engineer

Mar, 2018 - Jun, 2024

6 years, 2 months

Nike

Mar, 2018 - Jun, 2024

6 years, 2 months

* Delivered end-to-end Spark pipelines on Databricks and AWS, handling petabyte-scale data for personalization and analytics. * Designed batch + streaming ETL jobs with PySpark, Airflow, and Delta Lake, reducing data latency from 12h to near real-time. * Built data catalogs and metadata management solutions improving data discoverability and governance. * Integrated Kafka, SQS, and Kinesis for event-driven architecture and streaming ingestion.

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Poznan, Poland

Mar, 2018 - Jun, 2024

6 years, 2 months

AI/ML Software Engineer

Mar, 2017 - Mar, 2018

1 year

Kforce

Mar, 2017 - Mar, 2018

1 year

* Built emotion and sentiment analysis frameworks deployed as Dockerized microservices on Kubernetes. * Implemented ML-driven genomic sequence analysis using Java and PyTorch, containerized with Docker. * Automated deployment using Docker and GitLabCI, reducing manual errors by 35%. * Built multi-camera tracking and detection system using TensorFlow, OpenCV, deployed via Docker/Kubernetes.

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Poznan, Poland

Mar, 2017 - Mar, 2018

1 year

Education

The University of Texas at Austin

2010 - 2014

4 years

Bachelor's dgree in Computer Science

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United States

2010 - 2014

4 years

Registered Users

Total Jobs Posted

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