Robust proficiency in Python 3.x and async web frameworks like
FastAPI or Celery to build high-throughput, multi-tenant background processing microservices.
- GenAI &
- LLM Orchestration:
Hands-on experience with LLM APIs (
Google Gemini/Vertex AI or OpenAI) and utilizing tools like
Pydantic to enforce strict structured JSON outputs from unstructured data.
- Dynamic Prompt Engineering:
Expertise in designing complex system instructions, few-shot prompting templates, and managing advanced model parameters like thinking budgets or temperature.
- Cloud Storage &
- Data Pipelines:
Proficient in managing cloud data streams (
Google Cloud Storage or S3) to ingest document assets (PDFs/Images) and orchestrating async polling workflows with automated retry logic.
- ML Ingestion &
- Evaluation:
Experience with ML preprocessing tools (Pandas, NumPy, OCR engines) and setting up statistical thresholds to evaluate extraction confidence scores and failure metrics.