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puspanjalis/README.md

πŸ‘‹ Hi, I'm Puspanjali Sarma

Engineering Leader β€” Data, ML & AI Platforms

Agentic AI β€’ LLMOps β€’ Enterprise AI Systems


What I Build

I design and scale enterprise AI systems that move beyond experimentation into production.

My focus is not just models β€” but the systems around them:

  • Agentic AI with real-world autonomy (and guardrails)
  • LLMOps and MLOps for production reliability
  • Data platforms that drive measurable business outcomes
  • AI governance frameworks that enable safe scale

Current Focus

β†’ Making Agentic AI production-ready

Building systems that:

  • Detect gaps, reason over enterprise data, and take action
  • Operate with trust boundaries, auditability, and human-in-the-loop controls
  • Scale across complex enterprise environments

Selected Impact

  • Built 5 production RAG + agentic AI systems used by 1,000+ users
  • Reduced ML/AI deployment overhead by 40% through MLOps & LLMOps
  • Delivered $10M+ annual savings via AI-driven platform modernization
  • Led 50+ engineering teams across AI, data, and platform functions
  • Improved forecasting accuracy by 28% and reduced stockouts by 35%

Thought Leadership & Recognition

πŸ“š Author of Strategic AI Leadership Through Data β€” a practical playbook for scaling AI in enterprises

πŸ† AIM 40 Under 40 Data Scientists, India (2025)
πŸ† LinkedIn AI Top Voice, India (2023)

✍️ Writing about real-world AI systems (not just demos):


How I Think

  • Systems > Models β€” production success depends on architecture, not just accuracy
  • Governance enables scale β€” not a blocker, but a multiplier
  • AI must be accountable β€” observability, evaluation, and control are non-negotiable
  • Great teams build great systems β€” I invest deeply in people and culture

Flagship Work (In Progress)

β†’ Enterprise Agentic AI Platform
Production-grade multi-agent system with orchestration, RAG, evaluation, and governance

β†’ AI Governance & Guardrails Framework
Design patterns for safe autonomy, auditability, and trust boundaries

β†’ LLMOps at Scale
Deployment, monitoring, and cost-aware AI systems for enterprise environments


What You’ll Find Here

  • Enterprise Agentic AI patterns
  • LLMOps and MLOps architectures
  • AI governance and guardrail frameworks
  • Data platform design patterns
  • Practical systems β€” not just experiments

Connect

LinkedIn: https://linkedin.com/in/puspanjalisarma
Email: puspanjalisarma23@gmail.com


Building AI systems that work β€” at scale, in production, with impact.

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