At NXL Technologies, I delivered a crypto market intelligence system for internal users using Google ADK. I built 20 exchange adapters covering 12 venues and a modular Python backend with 21+ REST endpoints.
I also implemented asynchronous queues processing 200+ jobs per hour, with Redis Streams, idempotent consumers, and deduplication. I’m developing VAiC, a five-agent underwriting pipeline using LangChain and LangGraph, with parallel execution and deterministic scoring.
As a freelance Machine Learning / Deep Learning Engineer, I developed and optimized models in Python for client and academic projects. My projects include phishing URL detection and DDoS detection, and I completed an AI internship covering Azure AI services.
