Summary
Anuj Patel is an AI Engineer with 10 years of experience building production-grade ML systems that bridge research and operational reliability, currently focused on AI for cybersecurity. He has a strong EE foundation from NYU (M.S., 3.9 GPA) and a track record delivering RAG-based assistants, optimized retrieval stacks, and low-latency search serving millions of records that led to measurable gains like a 28% predictive lift and halved decision times. Comfortable across the stack, he prototypes and ships compact LLMs (LoRA fine-tuning), designs robust evaluation pipelines, and productionizes services on AWS/GCP with Docker, Kubernetes, CI/CD, Airflow, and vector DBs. His background spans applied research (mmWave channel sounding, quantum key distribution), product ML at scale (5K+ student GenAI tools), and embedded production impacts in healthcare and enterprise, reflecting a rare blend of communications/EE physics intuition and hands-on ML engineering.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at New York University
Bachelor of Technology - BTech Electronics and Communications Engineering, Bachelor of Technology - BTech Electronics and Communications Engineering at Vellore Institute of Technology
High school Science, High school Science at Udgam School for Children - India
English, Hindi, Gujarati, Spanish, Sanskrit