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Prabhat UserPU
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Prabhat User

@prabhatuser1

AI-native engineering leader building production-ready enterprise AI platforms.

Singapore
Message

What I'm looking for

I seek a senior on-site engineering leadership role where I can build AI-native platforms, lead product-to-production delivery, and scale teams while maintaining strong security and compliance.

I am an AI engineering and product leader with 18+ years building and scaling enterprise software and production AI systems across regulated environments such as healthcare, insurance, and the public sector.

I design and operationalize AI-native delivery pipelines—agentic/multi-agent architectures, RAG and vector search, Cursor/Windsurf development workflows, and evaluation-first practices—to compress PRD→prototype→production while preserving reliability, security, and compliance.

I have led end-to-end enterprise delivery and presales for US$0.5M–US$1M deals, delivered high-impact solutions like a 2-day Emergency Department real-time translator, and driven measurable outcomes including 99.9% uptime, 4× performance gains, and substantial cost reductions.

Experience

Work history, roles, and key accomplishments

KE
Current

Head of Engineering & Product

KeyReply

Jan 2021 - Present (5 years 5 months)

Own engineering and product outcomes for an enterprise Generative AI platform, architecting agentic multi-agent orchestration, RAG, and vector search to deliver omnichannel and voice AI that handled 500K+ automated requests and supported US$0.5M–US$1M deal cycles.

TW

Software Engineering Manager

TechSangrah / Crossover for Work

Jan 2015 - Jan 2021 (6 years)

Led large-scale SaaS modernization and delivery optimization with end-to-end accountability, managing 80+ engineers and a US$5M+ budget, achieving 99.9% uptime, 60% AWS cost reduction, and 70% productivity improvement.

Education

Degrees, certifications, and relevant coursework

National University of Singapore logoNS

National University of Singapore

Master of Computing, Computer Science (AI)

2021 - 2023

Grade: 4.7/5

Master of Computing with a Computer Science (AI) focus, completed with a CGPA of 4.7/5.

Birla Institute of Technology and Science, Pilani logoBP

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (Hons), Computer Science

2004 - 2008

Grade: 8.36/10

Bachelor of Engineering (Honours) in Computer Science, completed with a CGPA of 8.36/10.

CC

Central Board of Secondary Education (CBSE)

Senior Secondary Certificate, Senior Secondary Education

Grade: 96.6%

Senior Secondary certification with a score of 96.6%, All India second rank in CBSE senior secondary examinations.

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