🔹 Senior AI Engineering Leader | MLOps | Scalable AI Inference | AI Strategy & Research
🔹 Ex-AWS SageMaker – Built and scaled AI Platforms impacting 100M+ users
🔹 Founder of the World's First AI Inference Marketplace for Industry Models (Vipas.AI)
🔹 AI Researcher & Innovator – Patented AI inference optimization, reducing GPU costs
🔹 AI Speaker & Thought Leader – Delivered AI talks at institutions & startup hubs
📌 Thought Leadership & AI Articles
Senior AI Engineering Leader with 17+ years of experience in scalable AI infrastructure, MLOps, and LLM inference optimization at an enterprise level. Founding team member of AWS SageMaker, shaping enterprise AI strategy and leading global teams of 50+ engineers. Developed mission-critical AI systems impacting 100M+ users. Led the creation of Vipas.AI, an AI model monetization platform, enabling domain-specific AI models to be deployed, scaled, and monetized seamlessly.
- 📌 Designed & led AWS SageMaker MLOps suite of AI services, enabling scalable enterprise AI systems for 1M+ AI practitioners and 10K+ enterprises
- 📌 Founded Vipas.AI, the world’s first AI inference marketplace, achieving 25K daily visitors & 1.5K DAUs in 90 days
- 📌 Architected AI-powered financial anomaly detection systems, reducing global payment defects by 30%
- 📌 Developed AI-driven catalog systems for Amazon, improving search for 100M+ users & optimizing 2B+ product titles
- 📌 Invented a patent-pending system for large-scale low-latency AI inference, optimizing GPU efficiency by 40%
- 📌 Led AI evangelism programs, delivering AI talks to 10K+ practitioners across 20+ education institutions
- 📌 Organized large-scale AI hackathons, with participation from 140+ colleges & 100+ cities
- AI Strategy, Product Vision and Roadmap
- Ethical and Responsible AI, AI Governance
- Strategic Partnerships, Global Team Building
- Cross-Functional Alignment, Stakeholder Management
- Talent Development, Mentorship, Research Leadership
- LLMs, GenAI, RAG, NLP, Transformers, Multi-Agent Systems
- Recommendation Engines, Risk and Fraud Detection
- Time Series Forecasting, MLOps, AIOps
- Model Optimization (Fine-Tuning, Quantization, Distillation, Pruning, Caching)
- AWS (SageMaker, Bedrock, EKS), Google Cloud AI
- Kubernetes, Docker, ML Pipelines
- Hybrid and Multi-Cloud AI Deployment, Serverless AI
- Distributed AI, Model Monitoring, Explainable AI, GPU Optimization
- Python, MLflow, TensorFlow, PyTorch, Hugging Face
- Triton Inference Server, vLLM, FastAPI, Flask, LangChain
- Generative AI APIs (OpenAI, etc.), SQL, NoSQL
- Feature Stores, Vector Databases, ElasticSearch, OpenSearch, Git
- Patent Pending – USPTO Application #19/055,731
System and Method for Large-Scale Low-Latency Language-Model Deployments Using Dynamic Hierarchical Storage and GPU Optimization.- Achieved 40% GPU cost reduction via predictive preloading, caching, and adaptive scheduling.
- Designed to support 100K+ AI models with scalable, cost-efficient inference.
- Founded the world’s first AI inference marketplace, enabling industry-specific AI models to be monetized at scale.
- Led end-to-end strategy across engineering, sales, and marketing, growing the platform to 25K+ daily visitors.
- Designed a patent-pending system optimizing AI inference costs by 40% with dynamic hierarchical storage.
- Closed Vipas.AI to focus on enterprise AI strategy & engineering, bringing startup innovation to large-scale AI deployments.
- Led MLOps & AI Infrastructure for AWS SageMaker, managing a global team of 50+ engineers.
- Architected scalable AI solutions that impacted 100M+ AWS users and enterprise AI teams worldwide.
- Developed AWS SageMaker Experiments, improving AI experiment tracking and accelerating AI adoption.
- Built financial AI systems that automated anomaly detection and reduced payment defects by 30%.
- Developed large-scale AI-driven catalog systems for Amazon, optimizing 2B+ product listings.
- Designed AI-powered fraud detection models, improving compliance and securing $46M in transactions.
- Led AI-driven insurance underwriting solutions, securing $30.7M in project pipeline for commercial auto policies.
- Architected global cloud systems for Ericsson, enabling telecom enterprises to manage cross-continental networks.
🔹 Recognized by NVIDIA Inception, AWS Activate Portfolio & Google Cloud Scale for AI infrastructure innovations
🔹 Published AI articles on MLOps, scalable AI inference, and AI monetization on LinkedIn
🔹 Contributor to AI research in LLM efficiency, AI-powered automation, and multi-cloud deployment
📌 LinkedIn
📌 GitHub
📌 Portfolio & AI Projects
📌 Thought Leadership & AI Articles
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