AI Engineer @ HCL Technologies Sweden AB | MSc in Data Science (Dalarna University)
Passionate about designing state-of-the-art AI systems with a focus on agentic frameworks, reinforcement learning, and production-grade MLOps pipelines.
🔭 Currently Building
- Full-stack LLM applications (GPT, Llama, Deepseek, Grok)
- Enterprise RAG systems with custom knowledge integration
- AI deployment architectures for scalable inference
💡 Core Expertise
- LLM Orchestration: Fine-tuning (SFT, RLHF), RAG optimization, model quantization
- MLOps: CI/CD pipelines, model monitoring, Kubernetes deployment
- NLP: Transformers, spaCy, LangChain, prompt engineering
- Cloud AI: Azure AI Services, Databricks, AWS SageMaker
🌱 Sharpening My Skills
- Advanced RAG patterns: Hybrid search, multi-agent query routing
- Low-rank adaptation (LoRA) for domain-specific LLMs (Mistral, Qwen, Llama 3)
- GPU-optimized serving with Triton Inference Server
💬 Let's Discuss
- Turning POCs into production systems
- Cost-performance tradeoffs in LLM deployment
- Knowledge graph-driven AI architectures
