Summary
Ankush Rathi is an AI/ML Engineer with 9 years of experience architecting production-grade intelligent systems across cybersecurity, healthcare, finance, and enterprise domains. He has built real-time ML inference platforms that protect over a million endpoints, slashing incident response from hours to seconds through automated anomaly detection and risk scoring. Proficient across cloud providers (Azure, AWS, GCP), container orchestration, streaming pipelines, and feature engineering, he productionizes LLM, NLP, and deep learning workloads using tools like Hugging Face, LangChain, FAISS, and Vertex AI. Ankush combines hands-on model development (LSTM, Transformers) with engineering rigor—designing observable, SLA-driven retraining, monitoring, and low-latency microservices for enterprise scale. He bridges applied research and product: an IEEE-published contributor in AI-driven healthcare analytics who mentors teams on scalable system design. Based in the United States, he focuses on resilient, measurable AI that delivers operational impact in adversarial and high-throughput environments.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Government College of Engineering, Amravati.
Master's degree, Computer Science, Master's degree, Computer Science at University of Massachusetts Dartmouth