Ankush Rastogi
By Ankush Rastogi
Senior Data & AI Engineer. Production LLM Systems, Speech Analytics, Cloud Data Platforms. IEEE Author, Reviewer, Hackathon Judge & Mentor.
#FindAGuest-BeAGuest
Senior Data & AI Engineer. Production LLM Systems, Speech Analytics, Cloud Data Platforms. IEEE Author, Reviewer, Hackathon Judge & Mentor.
I am a Senior Data Solutions Engineer with over 10 years of experience designing and operating production-scale data and AI systems. My work focuses on building reliable, scalable LLM-powered applications, speech and conversational analytics platforms, and cloud-native data infrastructure. I specialize in taking AI from prototype to production. This includes system architecture, data pipelines, model evaluation, cost and performance optimization, and operational reliability. Much of my work sits at the intersection of AI, cloud platforms, and real-world enterprise constraints such as privacy, compliance, and scale. Alongside industry work, I actively contribute to the broader technical community. I have authored multiple IEEE-style research papers, served as a reviewer and hackathon judge, and mentored early-career engineers and students. I enjoy working with builders at hackathons and technical events, helping teams think through architecture decisions, trade-offs, and practical implementation challenges. I am particularly interested in applied AI, production LLM systems, speech analytics, and data engineering at scale.
Senior Data & AI Engineer. Production LLM Systems, Speech Analytics, Cloud Data Platforms. IEEE Author, Reviewer, Hackathon Judge & Mentor.
I am a Senior Data Solutions Engineer with over 10 years of experience designing and operating production-scale data and AI systems. My work focuses on building reliable, scalable LLM-powered applications, speech and conversational analytics platforms, and cloud-native data infrastructure. I specialize in taking AI from prototype to production. This includes system architecture, data pipelines, model evaluation, cost and performance optimization, and operational reliability. Much of my work sits at the intersection of AI, cloud platforms, and real-world enterprise constraints such as privacy, compliance, and scale. Alongside industry work, I actively contribute to the broader technical community. I have authored multiple IEEE-style research papers, served as a reviewer and hackathon judge, and mentored early-career engineers and students. I enjoy working with builders at hackathons and technical events, helping teams think through architecture decisions, trade-offs, and practical implementation challenges. I am particularly interested in applied AI, production LLM systems, speech analytics, and data engineering at scale.
#FINDAGUEST-BEAGUEST / (Ankush Rastogi)
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