Jan 2025 – Present · 1 yr 2 mos

• Advise the founding team on AI strategy, risk considerations, and governance implications as AI becomes embedded in underwriting, claims, and operational decision-making. Support leadership in translating AI capabilities into defensible business outcomes, with attention to regulatory exposure, accountability, and long-term scalability in a highly regulated insurance environment.

Jan 2025 – Jul 2025 · 6 mos

• Advised Starweaver on AI strategy and course development as a Coursera content partner, with a focus on integrating generative AI into scalable learning platforms. Supported leadership on curriculum design, platform capabilities, and responsible deployment of AI in education, balancing innovation with quality, governance, and learner trust.

Feb 2024 – Present · 2 yrs 1 mo · New York City Metropolitan Area

• Led worldwide strategy and business development for Cerebras' revolutionary AI compute platform, driving adoption of WSE-3 wafer-scale chips for LLM training and inference across Fortune 500 enterprises, research institutions, and government agencies.
• Revenue Growth: Expanded enterprise customer base by securing strategic accounts in pharma, finance, energy, and research sectors, building multi-million dollar pipeline within first year
• Strategic Partnerships: Forged alliances with leading AI companies and cloud providers to position Cerebras as the go-to alternative to GPU clusters for cost-efficient model training (7B-70B+ parameters)
• Executive Engagement: Led C-suite briefings demonstrating 20x faster training and 16x inference efficiency, converting technical advantages into business value propositions
• Product Strategy: Collaborated with engineering to align product roadmap with market needs, pioneering AI compute-as-a-service models that democratized access to wafer-scale technology
• Market Leadership: Represented Cerebras at major AI conferences and customer forums, establishing thought leadership in next-generation AI infrastructure
• Solution Design: Architected custom deployments enabling breakthrough AI applications in drug discovery, climate modeling, and enterprise LLMs
• Team Building: Scaled BD organization to support global expansion across APAC, EMEA, and Americas regions
• Impact: Positioned Cerebras as a disruptive force in the $50B+ AI compute market, enabling customers to train proprietary models at 1/10th the cost of traditional infrastructure while accelerating time-to-insight from months to weeks.

Nov 2023 – Present · 2 yrs 4 mos · New York City Metropolitan Area

• Founder & CEO, AI Guru
• Also lead NEUBoard, a focused initiative on board-level AI oversight, governance, and fiduciary readiness for private and PE-backed companies.
• Building AI products used by 50K+ professionals while deploying enterprise AI systems that consistently reach production. Alongside execution, I increasingly work with owners, boards, and leadership teams on AI risk, oversight, and decision readiness as AI becomes a governance issue, not just a technical one.
• Previously architected core systems for BloombergGPT and drove $700M+ in AI revenue at AWS, with leadership experience across Cerebras and AWS Bedrock/SageMaker.
• ⸻
• Products Shipped
• Plan (planhq.ai): Strategy generation in minutes
• DubLabs (dublabs.ai): Multilingual video translation with lip-sync
• DraftEmail (draftemail.com): 200K+ emails generated
• Joblyn (joblyn.ai): AI interview coaching
• 50K+ users. Profitable. Bootstrapped.
• ⸻
• Enterprise AI & Oversight
• We build production AI for Fortune 500s and PE-backed companies, often supporting leadership and board conversations around scale, risk, and accountability.
• Client wins
• Global Bank: Multilingual platform, 1M+ users
• Manufacturing: AI across 10TB+ documents, 90%+ accuracy
• Media: 90% reduction in localization costs
• Healthcare: HIPAA-compliant AI, 60% faster diagnosis
• Every engagement reaches production. Clear ROI within 12 months.
• ⸻
• Metrics
• Revenue: 7-figure run rate
• Growth: 40% MoM
• NPS: 72
• Global reach: 20K+ trained, 20+ countries
• ⸻
• Technical Depth
• API integrations, RAG and agentic systems, fine-tuning and custom LLMs. Production deployments across AWS, Azure, GCP, Cerebras, Groq, and NVIDIA GPUs using GPT-4o/5, Claude, Llama, and Mistral.
• ⸻
• Philosophy
• We build first, then advise. AI should drive outcomes, not theater. Governance and ownership matter as much as models.
• We do production, not PowerPoints.

Jan 2022 – Feb 2024 · 2 yrs 1 mo · New York City Metropolitan Area

• Lead the growth of AWS's Generative AI product portfolio, enabling customers to transform their business with the use of Machine Learning and Artificial Intelligence.
• Responsible for developing and executing strategic plans, collaborating with cross-functional teams, and driving business growth world wide.
• Spearheaded the business development efforts for various AI/ML products and services, resulting in over 90% increase in revenue within the first year
• Orchestrate the design, creation, testing, and deployment of AI technologies at scale with technology leaders across customers globally.
• Help customer C-suite identify the business value and impact of AI across their entire organization.
• Collaborated with the product development team to align product offerings with market demands, resulting in the successful launch of multiple products.
• Some notable work includes large language model creation under my purview: BloombergGPT, Falcon family of models (7B, 40B, 180B) from TII.

May 2019 – Jan 2022 · 2 yrs 8 mos · New York City Metropolitan Area

• Enabled large global customers to scale their usage on AWS Cloud through transformational solutions:
• Led industry breakthrough 50 billion parameter generative AI/Foundation model creation "Bloomberg GPT," enabling diverse use cases like summarization, sentiment analysis, Q&A, etc. via AWS and open source tech.
• Demonstrated ingesting and transforming 10M events/sec within 60 secs using data analytics like Spark, Flink, Kafka to showcase scalable real-time processing.
• Architected highly secure, fault tolerant, cost-effective 500K core AWS compute farm for a financial institution during COVID-19 to meet surge compute needs.
• Created solution design for a customer to run Amazon Kendra for semantic/natural language search capabilities on AWS.

Oct 2014 – May 2019 · 4 yrs 7 mos · Greater New York City Area

• Scaled Bloomberg's data and machine learning platform by 200%, supporting large-scale ML training and analytics on petabyte-scale data using tens of thousands of compute cycles. Led team expansion that doubled headcount over 12 months.
• Curated stream processing and analytics offerings by building proprietary tools and services on open-source technologies like Apache Spark and Kafka.
• Championed adoption of open source through sponsorship, contributions, and encouraging community-driven development. Enabled data scientists, ML engineers, and application developers through a robust platform catering to diverse analytical and computational needs.

Jan 2013 – Oct 2014 · 1 yr 9 mos · NJ

• Helmed cloud strategy and architecture improvement as technology leader – at company ranked leader in Enterprise Quality Management Systems (EQMS) and compliance management software companies (projected to quickly reach $500M from $100M).
• Played significant role in transformation of Sparta Systems from Software Product Company to Software Service Company, by helping company adopt secure cloud and mobile technologies – crucial step before acquisition by private equity (Thoma Bravo).
• Established DevOps team and implemented continuous integration/delivery using Git, Stash, Jenkins, Puppet, mCollective – reducing build and deployment time from 1 day to 1 hour.

Jan 2012 – Jan 2013 · 1 yr · New Jersey

• Directed cloud and security architecture generating multi-million dollar revenue; demonstrated technology management, sales and marketing support, and consulting competencies in global and domestic client engagements at industry verticals such as finance, insurance, media and healthcare.
• Represent Wipro within the customer’s environment and drive discussions with senior managements regarding trade-offs, best practices, and risk mitigation about Cloud Computing. Think strategically about business, product, and technical challenges.

Jan 2006 – Jan 2012 · 6 yrs · New Jersey

• Rose through systems and web operations, leadership roles, taking on vendor negotiations, cost control and infrastructure build outs.
• Acted in various capacities from individual contributor, to team manager, to group manager. Lead several initiatives with budget responsibilities over $10 MM+ related to infrastructure engineering, IT security and risk management.

Sep 2004 – Jun 2006 · 1 yr 9 mos

Feb 2004 – Sep 2004 · 7 mos

Apr 2001 – Feb 2004 · 2 yrs 10 mos

Jan 2000 – Jan 2001 · 1 yr

Jan 1999 – Jan 2000 · 1 yr