- Silicon Valley engineering leader with extensive R&D experience in Artificial Intelligence. Expertise in LLM, VLM, Multi-Modal AI, graph-based and agentic Retrieval-Augmented Generation (RAG), and Generative AI. Skilled in driving product innovation in AI-powered personalized assistance, search, and recommendations. Proven track record of developing scalable AI-powered GPU-based solutions, leading global teams, and transforming technology ecosystems.
- Currently working as Director of Engineering at Adobe
- M.S. (Artificial Intelligence) from Johns Hopkins link
- LEAD course from Stanford GSB
- MBA (Information Technology) from American Public University
- Also serves as AI Technology Advisor
Digital Storytelling
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Key Highlights in AI Field
- AI Platforms: Built and led AI-powered RAG search and recommendation platforms for Adobe Express, Photoshop, and Adobe Stock.
- Agentic AI: Powered “For You” Agentic AI recommendations using multi-modal intent detection, VLM, LLM, and creative knowledge graphs.
- Open-Source Integration: Leveraged open-source LLM (LLama, NanoGPT) and VLM (Flemingo) for creative use cases.
- Model Development: Developed deep learning models for prompt generation, assistance, search relevance, anomaly detection, and personalized recommendations.
- Patents: Authored patents in digital knowledge graphs and contextual recommendations.
- Generative Features: Delivered AI generative features like prompt recommendations, query intent services, and creative knowledge graph-based suggestions.
- Scalable AI Applications: Architected and deployed multi-agent full-stack AI applications like Adobe Express and Adobe Stock.
- Global Reach: Built scalable AI apps like Bing.com and Office 365 apps, serving over 1 billion users globally.
Leadership Skills
- Proven ability to build and mentor 20 globally distributed engineering teams (300+ engineers) across the US, Norway, UK, Japan, and India.
- Expertise in stakeholder management, vision setting, and fostering startup cultures within organizations.
- Strong focus on engineering excellence, agility, and innovation.
Technology Skills
- AI & ML: LLM, RAG, Agentic AI, Generative AI, Stable Diffusion, Transformers, GPT-4, OpenAI, Claude, Gemini, TensorFlow, BERT, Llama, NanoGPT, PyTorch.
- Big Data & Search: Elasticsearch, Spark, Kafka, HBase, Neo4j.
- Cloud Platforms: AWS, Azure.
- Programming: Java, .NET, Python, React.js, TypeScript, Node.js.
- Other Tools: Hadoop, Kubernetes, Mesos.
Code
Education and Certifications
- M.S. in Artificial Intelligence: Johns Hopkins University
- Stanford LEAD Certificate in Strategy and Innovation: Stanford University Graduate School of Business
- MBA in Information Technology: American Public University
- Certifications: GANs, Machine Learning Specialization, Data Science
Awards and Publications
- Awards:
- Publications:
- “Latent Diffusion Model”
- “Demystifying Scalability”
- Patents:
- US11645095 ·Contextual recommendations in digital content editing. - Issued May 19, 2023
Work Experience
Director of Engineering | Adobe | San Jose, CA (2017 – Present)
- Strategic AI Vision: Led engineering teams on a 0-1 roadmap for multi-agent AI-driven RAG-based search, recommendations, and creative knowledge graphs using GPU and CPU systems powered by VLM and LLM.
- Infrastructure Transformation: Designed and migrated the AI foundation platform from Mesos to Kubernetes, improving reusability, extensibility, maintainability, efficiency, and scalability.
- ML Engineering: Powered generative text and computer vision-based search solutions for Adobe products.
- Scalable Architectures: Developed scalable architectures for semantic search and multi-modal intent detection platforms.
Senior Engineering Manager | Intuit | Mountain View, CA (2016 – 2017)
- Transformed QuickBooks Online technology using AWS-based microservices architecture.
- Designed deep learning-powered search solutions and sales growth platforms.
- Enhanced scalability, availability, and performance through innovative architecture.
Engineering Manager | Microsoft | Mountain View, CA (2008 – 2016)
- Led global teams for Bing, Office apps, and Cortana recommendation systems.
- Built real-time data ingestion pipelines and developed personalized search experiences.
- Improved MSN homepage scalability using distributed caching and analytics platforms.
- Developed enterprise search for SharePoint and optimized performance of large-scale data systems.
Detailed Resume is available here
