Type-Safe AI Inference Gateway
Tech Stack: Python, FastAPI, Pydantic, TypeScript, Zod, Docker
Architected a type-safe API gateway bridging Python ML inference engines with TypeScript web clients. Enforces structural Pydantic runtime schema validation to eliminate undefined runtime errors.
- Sub-150ms inference response gateway with asynchronous route handlers
- Strict Pydantic & Zod schema validation across client-server boundaries
- Containerized Docker deployment isolating heavy ML dependencies
Deterministic LLM Output Schema Engine
Tech Stack: Python, OpenAI API, Prompt Engineering, JSON Schema, Pydantic
Designed a deterministic JSON schema wrapper for Large Language Model (LLM) APIs. Converts unstructured text responses into 100% compliant structured JSON data for downstream database storage.
- Guaranteed 100% schema compliance for extracted structured data
- Automated retry and fallback strategies for malformed model outputs
- Token usage & API cost tracking telemetry integration
Predictive Analytics & Feature Extraction Pipeline
Tech Stack: Python, NumPy, Pandas, Scikit-Learn, Matplotlib
Built end-to-end data preprocessing and classification pipelines using Pandas and Scikit-Learn. Performed feature engineering, missing value imputation, and model hyperparameter tuning.