Professional Experience

Career Journey

16+ years building SaaS platforms, distributed systems, and AI-driven products. From recommendation systems and computer vision to GenAI, multi-cloud, and enterprise AI transformation.

Engineering Leader

Current
New Relic
Jan 2026 - Present

Driving company-wide AI-first transformation. Architecting AI-native systems integrated into the observability platform, and building a large-scale enterprise knowledge platform processing data across ~3.5 million repositories, documents, and enterprise sources. Leading the AI Community of Practice and establishing AI governance frameworks across the organization.

Key Achievements:

  • Own the enterprise AI platform and AI-native product initiatives
  • Build a large-scale enterprise knowledge platform spanning ~3.5M repositories, documents, and data sources
  • Lead end-to-end domain-specific model lifecycle: data preparation, fine-tuning, deployment
  • Deliver critical AI systems from stalled state to production within aggressive timelines
  • Establish AI governance frameworks driving organization-wide adoption
  • Lead New Relic's AI Community of Practice
AI PlatformAgentic AIRAGKnowledge PlatformsLLMsSLMsFine-tuning (LoRA/QLoRA)AI GovernanceMLOpsPython

Engineering Leader

HappyFox Inc
May 2024 - Dec 2025

Built and scaled HappyFox's AI platform from the ground up — enabling enterprise-grade AI products and supporting platform-led growth across the customer base.

Key Achievements:

  • Drove 125% ARR growth through platform-led expansion
  • Built and scaled the AI platform from the ground up, enabling multiple enterprise-grade products
  • Delivered AI-powered systems including autonomous agents and intelligent assistants
  • Designed hybrid retrieval systems combining structured and unstructured data
  • Optimized infrastructure and inference workflows for efficiency and cost
  • Supported enterprise sales, RFPs, and customer solutioning
PythonLLMsRAGHybrid RetrievalOpenSearchpgvectorAWS BedrockGoogle VertexClaudeGeminiCohereMistral

Vice President of Engineering

Xebo.ai
Feb 2022 - Apr 2024

Led end-to-end engineering transformation across global enterprise deployments. Rebuilt product architecture from scratch, drove multi-cloud and on-premise strategy, and served as acting CISO across global compliance standards.

Key Achievements:

  • Drove 567% ARR growth in 24 months
  • Designed multi-cloud and on-premise architecture across 25+ enterprise deployments and 4 regions with DR
  • Served as acting CISO — SOC2, HIPAA, GDPR, PCI DSS, and ISO compliance
  • Reduced onboarding time from 6–12 months to 1 week–3 months via automation and forward deployment
  • Rebuilt product architecture from scratch, improving scalability and deployment efficiency
  • Built AI-driven XM platform capabilities for large-scale data processing
  • Featured in Gartner® Magic Quadrant for VoC Platforms
  • Led 35 engineers across R&D, Product, DevOps, and Compliance
PythonDjangoAWSAzureGCPKafkaOpenAIClaudeRAGFine-tuningpgvectorOn-PremiseMulti-region DR

Senior Technical Architect

Perficient India
Feb 2021 - Feb 2022

Led architecture and delivery of enterprise healthcare platforms across multiple teams, with applied ML contributions in regulated environments.

Key Achievements:

  • Led architecture and delivery of enterprise healthcare platforms across multiple teams
  • Managed large-scale software delivery aligned with client requirements
  • Ensured compliance with healthcare data and security standards (HIPAA, SOC2)
  • Contributed to applied ML work within enterprise environments
PythonDjangoDockerAWSHealthcareHIPAAApplied ML

Senior Principal Engineer

Hashprompt Softwares
Jun 2010 - Feb 2021

Delivered large-scale SaaS and enterprise applications across industries — including production recommendation systems and computer vision pipelines.

Key Achievements:

  • Delivered large-scale SaaS and enterprise applications across multiple industries
  • Built recommendation systems handling high-volume user interactions
  • Developed computer vision-based systems for large-scale processing workflows
  • Led end-to-end engineering — architecture, development, and deployment
  • Worked closely with enterprise customers on solution design and execution
PythonDjangoTensorFlowComputer VisionAWSAWS SageMaker

Core Competencies

AI/ML

Artificial Intelligence

GenAI, agentic systems, LLMs/SLMs, RAG, fine-tuning, and AI platform architecture

Platform

Engineering

SaaS, distributed systems, multi-cloud (AWS/GCP/Azure), MLOps, and enterprise scalability

Leadership

Team Building

VP-level org scaling, enterprise sales support, and CISO-grade compliance