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AI / Machine Learning Engineer | Software Developer
education completed:
masters
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- Computer Science BSc + MSc.
- Hands-on industry exposure in artificial intelligence, machine learning, software engineering, and advanced data analysis.
Domains and application areas:
- Proof-of-concept application development
- Cross-platform front-ends: Web, Windows, macOS, Linux, Android, iOS
- ERP and CRM platforms
- SaaS products and cloud-based systems
- Healthcare software
- Financial systems
- Market sentiment analysis
- Conversational agents and chatbots
- System and API integrations
Delivered technical solutions:
- Speech technologies: ASR, speech-to-text, text-to-speech
- Data ingestion, transformation, ETL pipelines
- Conversational AI for customer support and automation
- Computer vision: object detection, image classification, recognition
Artificial Intelligence & Machine Learning stack:
- Large Language Models (LLMs), local inference and API consumption
- Retrieval-Augmented Generation (RAG) architectures
- ML Ops pipelines, model integration, fine-tuning
- LangChain, Model Context Protocol (MCP)
- Vector databases, custom AI deployments, generative AI workflows
- Responsible AI guardrails and validation layers
LLM platforms and model providers:
- Hugging Face
- OpenAI
- Meta / LLaMA
- Google Gemini
- Mistral
- Anthropic Claude
- Additional state-of-the-art models
Frameworks and libraries:
- PyTorch
- LlamaIndex
- Haystack
- Open-source machine learning frameworks
Software and web stack:
- Python, Django
- JavaScript, HTML, CSS
Data engineering and analytics:
- PostgreSQL, MySQL, Microsoft SQL Server, Firebase
- Analytics pipelines and data processing workflows
Infrastructure and DevOps:
- Docker, Podman
- Apache, Nginx
- VPS hosting and Linux server administration
- Ubuntu/Linux and Windows Server
- Cloud configuration and deployment
Tooling and development workflow:
- Git and CI/CD pipelines
- VS Code, Eclipse
- Cursor AI, Windsurf
Enterprise and vertical experience:
- ERP systems
- Hospital Management Systems
- Custom enterprise software
Professional profile:
- High reliability and professional standards
- Deadline-driven delivery
- Remote collaboration or autonomous execution
- Adaptability to evolving requirements
- OK for recruiters to contact this poster.