Experience.

Responsibilities

• —Architected an end-to-end KYC verification and fraud detection pipeline using OCR, feature engineering, and ensemble ML classifiers.
• —Engineered real-time Flask REST APIs for low-latency model inference with sub-second response times on concurrent document verification requests.
• —Containerized the inference service with Docker and implemented model monitoring pipelines ensuring >99% uptime on financial data.

Key Outcome

Improved automated verification accuracy by ~35% and significantly cut manual review time.

Responsibilities

• —Worked at the intersection of AI and Cloud technologies to build intelligent web applications.
• —Deployed AI-powered applications on cloud infrastructure for reliable accessibility.
• —Conducted advanced Exploratory Data Analysis to inform model feature selection.

Key Outcome

Strengthened skills in LLM integration, cloud APIs, and scalable ML system design.