About
A results-driven senior leader with over 14 years of experience in AI-driven product development, excelling in managing large-scale distributed systems and leading cross-functional teams. I have a proven track record with SaaS technologies and AI/ML advancements, which have driven business growth and innovation.
Passionate about leveraging strategic technical vision to deliver impactful solutions, I am committed to fostering dynamic team environments and developing innovative strategies to meet evolving business needs. My work spans distributed training optimization, large-scale inference, agentic AI platforms, and cloud-native infrastructure.
I have led organizations of 50+ engineers at Microsoft, built autonomous AI systems at John Deere, and co-founded Vault Voyage to push the boundaries of Physical AI, Sovereign AI, and regulated healthcare AI systems.
Experience
Fractional Co-founder & CTO (AI) · Vault Voyage Limited
- Co-founded Vault Voyage and led AI strategy across Agentic Physical AI, Sovereign AI, and regulated healthcare systems.
- Architected Physical AI platforms integrating sensing, edge compute, and distributed ML for clinical deployments.
- Delivered AI-enabled healthcare solutions using computer vision and multimodal ML for diagnostics and pathology workflows.
- Optimized production inference systems using ONNX Runtime and TensorRT SDK/APIs for GPU execution in healthcare-grade environments.
Principal Engineering Director · Microsoft, Inc
- Led a 50+ engineer AI platform organization delivering end-to-end ML systems spanning distributed training, large-scale inference, and agentic AI.
- Owned training-time optimization and parallelism (data, tensor/model, pipeline), balancing compute efficiency and convergence stability at scale.
- Architected system-level optimizations for real-time distributed inference, delivering low-latency serving pipelines for conversational workloads.
- Established MLOps and inference automation with Azure ML, integrating CI/CD and AIOps-driven reliability into production services.
- Mentored senior engineers and managers, increasing team productivity by 25%.
Staff Software Engineering Manager · Highspot, Inc
- Led 20 software and ML engineers building distributed customer data management services with predictive analytics.
- Drove architecture of a distributed AI infrastructure platform for Sales lead generation using AutoML and Azure OpenAI.
- Designed distributed event generation system supporting real-time ML pipelines, improving monitoring efficiency by 25%.
Principal Software Engineering Manager (AI/ML R&D) · John Deere
- Led development of distributed systems for weed detection in autonomous tractors using Rust and deep learning for real-time edge inference.
- Drove scalable services on AWS for sensor data processing and real-time 3D scene reconstruction.
- Designed AI platform integrating 3D modeling, ML inference, and autonomous decision-making for smart agriculture at scale.
Lead Software Engineer (Data) · AirMap, Inc
- Designed geo-mapping solutions for drone operations, increasing operational efficiency by 20%.
- Built real-time data services and processing pipelines using Python, SQL, and Apache Spark.
- Led deployment of scalable data storage solutions on AWS, reducing data retrieval time by 40%.
Senior Software Engineer · Cisco Systems
- Developed scalable firewall web applications using Java, Spring, and AngularJS.
- Led feature integration for the Next-Gen SSP platform with seamless legacy integration.
- Implemented CI/CD pipelines with Jenkins and Docker, streamlining deployment by 40%.
Education
M.S. in Computer Engineering
University of Missouri, Rolla
Product Management
Stanford
B.S. in Computer Science
Anna University, Chennai, India
Certifications
Certifications & Training
Key Achievements
Core Strengths
Contact
I'm always interested in connecting with fellow tech leaders, investors, and anyone passionate about AI/ML. Whether you'd like to discuss a collaboration, explore advisory opportunities, or simply chat — feel free to reach out.