Building AI systems that generate enterprise revenue — VP Engineering & AI | Agentic AI, MLOps, Data Platforms | Ex-AB InBev | Ex-Intel

Bengaluru, Karnataka, India

Bengaluru South, Karnataka, India

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Greater Bengaluru Area

Pune District, Maharashtra, India








Certificate in Disruptive Strategy
Harvard Business School

Executive Diploma in Management, Business Administration and Management
IBS Hyderabad
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Download Tal BossBuilding AI systems that generate enterprise revenue — VP Engineering & AI | Agentic AI, MLOps, Data Platforms | Ex-AB InBev | Ex-Intel
Global CTO | SVP Engineering | Architect of Enterprise-Scale AI Platforms $1.2T+ transactions secured | Fortune 500 | 50+ countries | 100+ engineers | HBS & FT Recognized I help CEOs and Boards turn AI ambition into enterprise infrastructure. With 22+ years across Intel, IBM, AB InBev, and high-growth AI ventures, I integrate distributed systems engineering, AI commercialization, enterprise risk governance, and capital allocation intersect. My philosophy: build production-grade AI platforms that directly impact topline growth, cost optimization, regulatory resilience, and shareholder value. At AB InBev ($60B global enterprise operating across 50+ countries), I founded and scaled BrewRIGHT — an AI-driven compliance and RegTech platform integrating 13 ERP systems globally. The platform processed billions in transactions with ~80% predictive risk accuracy, mitigated $80M+ in regulatory exposure and cost saving. It became a benchmark for AI-led regulatory transformation and earned recognition from Harvard Business School and the Financial Times. At Covasant (Kona AI), I transitioned from internal platform architect to commercial AI product leader. I designed and scaled production-grade Agentic AI systems — multi-agent orchestration, RAG pipelines, Text-To-SQL agents, AutoML ecosystems, and enterprise LLMOps frameworks — serving Fortune 500 clients in regulated markets. These platforms process $600B+ annually and are revenue-generating SaaS products with institutionalized governance, observability, safety, and cost discipline. What Distinguishes My Leadership • Architect AI systems that withstand regulatory scrutiny and extreme scale • Translate deep engineering into measurable financial outcomes • Build and scale global engineering organizations (0–100+ across US, Israel, Brazil, South Africa) • Institutionalize AI governance, risk controls, and production observability • Align architecture decisions to P&L performance and capital efficiency Skills: Agentic AI, Generative AI & LLMs, AI Platform Strategy, AI Governance, Distributed Systems | Enterprise SaaS Scaling | Risk Management | Stakeholder Management | Financial Acumen I love architecting AI-first platform strategies, scaling high-performance engineering cultures, and delivering measurable business outcomes. To chat about the latest tech trends, feel free to reach out to me at roopak.prajapat@gmail.com
Bengaluru
anthropic apis
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claude
codex
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gemini
Vice President (Gen AI, Agentic AI, Distributed Systems, Commercial SaaS Products) at Covasant, Apr 2023 - May 2026 · 3 yrs 2 mos, Bengaluru, Karnataka, India, (Kona AI merged with Covasant). Series B RegTech SaaS startup delivering AI-driven compliance and risk analytics to Fortune 500 across 15 countries, supported by ~600 engineers and five global offices. • AI platform engineering | Fortune 500 B2B SaaS customers | Reporting to CTO. • Designed scalable model-serving infrastructure with monitoring, reliability, and observability guardrails. • Established architectural separation supporting secure, multi-tenant SaaS commercialization. • Aligned distributed system roadmap with enterprise scale and resilience requirements. • Led GenAI and Agentic AI platform strategy for enterprise SaaS clients. • Architected multi-agent orchestration, RAG, and NL2SQL production systems. • Built cloud-native distributed AI platforms with scalable model serving. • Institutionalized MLOps, LLMOps, AI governance, observability, and cost optimization frameworks. • Converted internal AI capabilities into revenue-generating commercial SaaS platforms. • Scaled cross-functional engineering teams across AI, platform, and infrastructure.
Global Director - Advanced Analytics (Machine Learning, Data Governance, Academic Partnership) at Anheuser-Busch InBev, Jun 2021 - Mar 2023 · 1 yr 10 mos, Bengaluru South, Karnataka, India, World’s largest brewer. 500+ brands, $60B+ revenue. Compliance analytics platforms: 20+ global regions. • Built global AI-driven compliance platform deployed across 50+ countries. • Built unified global data backbone enabling scalable, governed analytics. • Institutionalized data governance ensuring integrity, fault isolation, and AI readiness. • Integrated 13+ ERP systems within secure distributed cloud architecture. • Delivered AI systems identifying $80M+ risk mitigation and cost saving opportunities. • Formed and scaled 100+ global engineering organization from zero. • Established enterprise data governance, regulatory controls, and AI readiness. • Partnered with C-suite and Board translating AI into business impact.
Senior Manager at Anheuser-Busch InBev, Aug 2019 - May 2021 · 1 yr 10 mos, Bengaluru, Karnataka, India
Manager at Anheuser-Busch InBev, Nov 2017 - Jul 2019 · 1 yr 9 mos, Bengaluru, Karnataka, India
BI & Analytics Product Owner (Product Innovation, Business Intelligence, Data Warehousing) at Intel, Mar 2011 - Nov 2017 · 6 yrs 9 mos, Greater Bengaluru Area, Global Semiconductor giant, $70B revenue, 120K employees. • Engineering leader for enterprise analytics platforms | 8-person product team | $1B IT operations. • Built a marketplace style business intelligence platform to support on-demand analytics needs. • Architected NLP-driven support analytics improving resolution time and service reliability. • Delivered 360-degree IT business management data platform. • Drove adoption of modern engineering practices across analytics and data teams. • Managed MicroStrategy and Microsoft BI for financial reporting. • Standardized modern engineering practices across distributed analytics and data teams. • Governed enterprise reporting platforms ensuring reliability, accuracy, and executive trust. • Designed centralized IT asset warehouse enabling structured, scalable data consumption.
Delivery Lead – Client Services (Systems Engineering, Automation, IT Service Delivery) at IBM, Jul 2008 - Mar 2011 · 2 yrs 9 mos, Pune District, Maharashtra, India, IT services leader, $70B turnover, 300K employees, enterprise delivery for global clients across 175+ countries. • Managed 30-person distributed engineering teams delivering enterprise IT solutions for global clients.
Early Career at Multiple Companies, Nov 2003 - Jul 2008 · 4 yrs 9 mos, System Administrator, IP Soft - Jan 2008–Jul 2008 Technology Operations, Samsung Electronics - Nov 2006–Jan 2008 Technical Lead, Secure Meters - Nov 2005–Nov 2006 Technical Professional, Progressive Computech - Nov 2003–Oct 2005
Certificate in Disruptive Strategy, Harvard Business School
Executive Diploma in Management, Business Administration and Management, IBS Hyderabad