Testimonials
I had a very insightful and valuable session that helped me develop a much clearer understanding of the current AI and GenAI landscape. The discussion went beyond just tools and technologies and provided a practical perspective on how organisations should think about adopting AI in real-world environments.
Straight forward answer
Her ability to help is exceptional—always insightful, dependable, and solution-oriented.
Services
Video meeting . 30 mins
Video meeting . 15 mins
5
Priority DM . 2 days reply
4.7
Video meeting . 45 mins
5
Video meeting . 45 mins
5
About me
17+ years building production AI platforms — not prototypes, not experiments, platforms that scale.
Roughly 89% of enterprise AI initiatives stall in the pilot phase. The bottleneck isn't model capability; it’s the implementation gap—the absence of system-level engineering, secure LLMOps/MLOps pipelines, and board-level governance. Modern AI requires far more than prompt engineering "vibe-checks"; it demands production-grade infrastructure that operates reliably under live traffic.
I work at the intersection of engineering depth and executive decision-making — close enough to the architecture to know what’s real, senior enough to own the P&L strategy.
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𝗘𝗡𝗧𝗘𝗥𝗣𝗥𝗜𝗦𝗘 𝗟𝗘𝗔𝗗𝗘𝗥𝗦𝗛𝗜𝗣 & 𝗧𝗥𝗔𝗖𝗞 𝗥𝗘𝗖𝗢𝗥𝗗
At ServiceNow, I lead AI platform engineering across Agentic AI, Generative AI, and data systems—defining what gets built, how it gets built, and how it scales safely across the enterprise. Key achievements include:
• Agentic AI platform serving 1,000+ enterprise users in production
• 40% reduction in AI deployment cycle time through standardized MLOps
• 18% cost reduction on Snowflake & Azure data infrastructure
• $10M+ in documented annual savings across AI and cloud systems
𝗔𝗗𝗩𝗜𝗦𝗢𝗥𝗬 & 𝗙𝗥𝗔𝗖𝗧𝗜𝗢𝗡𝗔𝗟 𝗟𝗘𝗔𝗗𝗘𝗥𝗦𝗛𝗜𝗣 | 𝗖𝗥𝗜𝗧𝗘𝗥𝗜𝗢𝗡 𝗔𝗜 𝗣𝗥𝗢𝗗𝗨𝗖𝗧 𝗟𝗔𝗕
Through Criterion AI Product Lab, I embed with MNCs and high-growth scaleups as a Fractional Chief AI Officer (CAIO) and Strategic AI Architect to bridge the pilot-to-production gap using our proprietary APEX Framework:
• [A] AI Engineering: Production LLMOps/MLOps, multi-agent orchestration, RAG architectures, and OpenTelemetry observability.
• [P] Product Engineering: Weaving intelligence directly into core cloud-native software DNA rather than building isolated chatbots.
• [EX] Experience (AIX): Aligning human-centric interfaces with strict governance frameworks (EU AI Act, SOC2, HIPAA).
𝗖𝗥𝗘𝗗𝗘𝗡𝗧𝗜𝗔𝗟𝗦 & 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗬 𝗘𝗡𝗚𝗔𝗚𝗘𝗠𝗘𝗡𝗧𝗦
• Author of "Strategic AI Leadership Through Data" (BPB Publications)
• Recognized AIM 40 Under 40 Data Scientist (2025)
• GSDC Technical Advisor | Advisor to Startups & Women in Tech Communities
• Keynote speaker and contributor on responsible AI adoption and high-performing engineering cultures.
📩 If you're building or scaling AI in production — I'm always open to a thoughtful conversation.
- Puspanjali Sarma is known for her Data Science expertise, clear insights, valuable career guidance, and supportive mentorship, particularly benefiting freshers.AI-generated based on testimonials