Professional Summary
AI & Technology Leader and Enterprise Architect with 10+ years leading engineering teams, technology strategy, and organizational transformation at enterprise scale. Proven track record designing and governing AI platforms, agentic AI systems, and cloud-native architecture on AWS that turn strategy into measurable business value.
Highlights: 10+ years leading at scale · 8+ years AI/ML platform ownership · 10+ organizations shaped · 20+ technologies delivered · 100% AI-coded products · ~67% less development time with AI · ~95% fewer critical errors · ~40% faster delivery.
Core Competencies
Strategic Leadership, Technology Strategy, Enterprise Architecture, Organizational Transformation, Technical Vision & Innovation, Agile Delivery, Product Roadmapping, Project Management, Risk Management & Governance, Stakeholder Management, Vendor & Contract Management, Cross-Functional Team Leadership, Mentoring & Coaching, Cybersecurity Awareness.
Technical Skills
AI & Data: Generative AI, LLM Products, Agentic AI, NLP Analytics, ML Pipelines, Data Architecture, Data Standards, Data Analytics
Cloud (AWS): Lambda, API Gateway, CloudFormation, DynamoDB, CloudFront, CloudWatch, Cognito, S3
Engineering: ReactJS, Next.js, Node.js, React Native, iOS, Android, JavaScript, HTML, CSS, GraphQL, ElasticSearch, Python
DevOps & CI/CD: Terraform, CircleCI, Jenkins, GitHub, Bitbucket
Tools & Design: Jira, Asana, Figma, Adobe Photoshop
Professional Experience
AMD — Consulting Architect
via Infobell IT Solutions Pvt. Ltd. · February 2025 – Present
- Led architectural vision and technical strategy for agentic AI, guiding ~30 engineers through the full SDLC to turn AI strategy into production-grade performance-analytics platforms.
- Architected and governed an enterprise AI data platform and data standards that made analytics explainable, reusable, and globally scalable across all business units.
- Directed the design of agentic AI systems for context-aware benchmark analysis, enabling adaptive, self-directed reasoning over large, complex hardware-performance datasets.
- Served as technical lead for an LLM-powered product that answers benchmark and performance questions in natural language — pairing hands-on model and prompt design with team direction.
- Spearheaded agent-based pipelines for AI-augmented data validation, enrichment, and reasoning, cutting manual effort while improving accuracy, scalability, and throughput.
- Delivered role- and entitlement-aware analytics applications that let stakeholders securely explore benchmark results through natural-language search and multi-dimensional performance comparison.
- Cut benchmark automation from one month to under four days by re-architecting the Automated Benchmarking Platform, enterprise data warehouse, and end-to-end workflow.
- Delivered products that are 100% AI-coded, using AI-assisted development to compress build time ~67% and accelerate delivery ~40% through AI-driven solutioning.
- Hardened release quality by embedding AI-augmented Playwright testing into the delivery pipeline, reducing critical production errors ~95%.
- Established AI governance guardrails — explainability, access control, and reuse — that de-risked enterprise adoption and kept analytics consistent and auditable across teams.
- Mentored engineers and aligned cross-business-unit AI/ML initiatives onto shared platforms, standards, and delivery practices, lifting overall technical quality.
FINEOS (formerly Spraoi) — Senior Software Developer
FINEOS Corporate Holdings, Ireland · March 2018 – January 2025
- Led cross-functional teams of ~20 engineers, designers, and QA to deliver an enterprise insurance portal spanning product showcase, e-commerce, document management, and claims tracking.
- Owned the AI/ML platform end to end — data architecture, pipelines, and model delivery — establishing it as the reusable backbone for the organization's intelligent product features.
- Directed an AI personalization initiative that shipped predictive plan recommendations, measurably lifting user engagement and conversion.
- Built an AI/ML training accelerator with standardized, reusable data pipelines, improving scalability and cutting time-to-insight for new models.
- Engineered self-describing dataset infrastructure with built-in validation and error handling, ensuring data integrity and trust across AI workloads.
- Drove adoption of a reusable workflow pipeline builder that let teams compose and deploy AI/ML workflows rapidly, eliminating duplicated engineering effort.
- Mentored developers and set front-end and delivery standards that raised code quality and shipping consistency across the portal.
Goin LLC — Consulting Mobile Application Developer
June 2017 – March 2018
- Led development of an inclusive cab aggregator, ensuring accessibility for riders with disabilities and WCAG compliance.
- Built an iOS Rider app; defined requirements and coordinated design and QA for registration, booking, and real-time tracking.
- Created a React Native Driver app with smart ride-tracking based on driver activity and accessibility guidelines.
HPE — Consulting Mobile Application Developer
October 2016 – June 2017
- Led rapid-prototyping initiatives for enterprise-partner mobile and web apps, supporting HPE's mobility product strategy.
- Delivered cross-platform solutions in ReactJS, Android, and PHP/MySQL, expediting time-to-market by 20%.
iService — Mobile Application Developer
Service Monk Technologies Pvt. Ltd. · October 2015 – October 2016
- Managed development of a CRM suite with integrated geo-fencing and mobile lab testing, ensuring scalability across fragmented Android ecosystems.
Freelance Consultant — Part-time, concurrent
2016 – Present
- Partnered with diverse clients to plan, build, and deliver tailored web and mobile solutions across JavaScript frameworks and cloud services, on time and within budget.
Education
B.E., Mechanical Engineering
Atria Institute of Technology, Bangalore
VTU, Belagavi, Karnataka, India · 2015
Languages
English · Hindi · Telugu · Kannada