Python / GenAI / ML Engineer:
Python &
Async Frameworks:
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.
Energetic 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.