Skills
The toolkit.
A working stack built across nearly two decades — from foundational NLP and medical imaging to today's generative and agentic AI systems.
Natural Language Processing
- Intent & entity extraction
- Use-case classification
- Topic modeling
- QA & chatbots
- Search
- Document AI
- Summarization
- Content generation
Generative AI
- LangChain
- LlamaIndex
- Vector databases
- Prompt engineering (CoT, ToT, ReAct, agents)
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
- Text · Image · Audio modalities
Open-Source LLMs
- Hugging Face
- PyTorch
- TensorFlow
- PEFT fine-tuning
- Quantization
- RLHF
- Data-annotation workflows
- GPU utilization
MLOps & Cloud
- AWS
- Azure
- GCP
- Kubernetes
- CI/CD
- Model compression & distillation
Application Development
- Python
- Docker
- FastAPI
- Git
Governance & Leadership
- Responsible AI frameworks
- Model evaluation
- Bias & risk monitoring
- Team management (8+ engineers)
- Executive stakeholder presentations
- Agile delivery (JIRA, Confluence)