Headline

Senior GenAI Architect | AI Solutions Architect | AI Platform Engineer | Agentic AI | LangGraph | LangChain | AWS | Azure | LLMOps

About

I'm a Senior GenAI Architect with 9+ years of experience across Cloud, DevSecOps, and AI, I enjoy building technology that solves real business problems. Over the last 3+ years, my focus has been on Generative AI, Agentic AI, Multi-Agent Systems, RAG, and LLMOps, designing production-ready AI solutions that improve engineering productivity and automate complex workflows. I've worked across Retail, Aerospace, and Telecom, building AI platforms such as Multi-Agent DevOps Orchestrators, AI-powered Terraform Reviewers, Intelligent Repair Recommendation Systems, and Enterprise RAG Assistants using LangGraph, LangChain, Claude, OpenAI, Amazon Bedrock, MCP, FastAPI, Pinecone, OpenSearch, AWS, and Kubernetes. I enjoy solving complex engineering challenges by combining AI with cloud-native architecture, automation, and DevSecOps best practices. Whether it's reducing incident response time, automating infrastructure reviews, or building enterprise AI platforms, I like creating solutions that are scalable, secure, and deliver measurable business value. I'm always happy to connect with engineers, architects, recruiters, and leaders who are passionate about AI, cloud technologies, and building intelligent enterprise platforms.

Location

Bengaluru

AI stack

kiro

Base44

Napkin AI

Work experience

Sr. GenAI Engineer at Concentrix Catalyst, Aug 2024 - Present · 2 yrs 3 mos, Bengaluru, Sr. GenAI Architect leading design and development of production-grade Enterprise Generative AI platforms for Skechers (Fortune 500). CURRENT PROJECT - SkechAI: Enterprise GenAI Assistant PlatformArchitected and deployed a multi-model AI assistant serving 2,000+ employees handling 1,000+ daily queries with 94% accuracy. Built using Claude Sonnet (Amazon Bedrock) as the orchestrator with 5+ specialized sub-agents for knowledge retrieval, image generation, content creation, and business logic. Achievements: - 2,000+ active users, 1,000+ queries/day, 94% accuracy - <2 second response latency, $0.003/query cost (40% below budget) - 99.8% production uptime, zero PII leakage, 100% data compliance - Automated 40% of content workflows (presentations, spreadsheets, analysis) - Delivered $420K annual employee productivity gains Leading enterprise-scale AI transformation across DevOps automation, Infrastructure-as-Code governance, and intelligent platform engineering. Technical Scope: - Multi-model LLM orchestration (Claude + 5 specialized agents) - Enterprise RAG with 500+ documents, hybrid search (BM25 + semantic) - AI guardrails: PII masking, RBAC, hallucination detection (RAGAS) - Cloud-native deployment: AWS ECS Fargate, GitHub Actions CI/CD, Terraform - Production monitoring: Langfuse observability, semantic caching, audit logging AI Terraform Reviewer: Developed an AI-powered Infrastructure-as-Code review platform using Claude Sonnet, GitHub Actions, OPA, and AWS Cost APIs. Reduced Terraform review effort by 50% while improving infrastructure security and compliance through automated AI-assisted reviews.

Senior AI Engineer — LLM Systems & Agentic Workflows at ALTEN India, Aug 2023 - Aug 2024 · 1 yr 1 mo, Bengaluru, Designed and developed enterprise AI solutions for aircraft damage assessment and repair planning. Key Contribution: • Architected an Intelligent Repair Recommendation Engine using LangGraph, Claude 3, Pinecone, MongoDB, and FastAPI. • Built enterprise RAG pipelines over 5K+ EASA/FAA regulatory documents with semantic search and confidence scoring. • Designed multi-agent workflows for regulatory validation, historical analysis, and repair cost estimation. • Deployed scalable AI microservices on AWS using Docker, Lambda, GitHub Actions, and cloud-native architectures. Key Achievements: Reduced aircraft repair planning time from 90 minutes to 30 seconds (180× faster). Achieved 94% recommendation confidence with 100% regulatory compliance. Generated $50K+ monthly operational savings while supporting 200+ aircraft.

AI Engineer — NLP, RAG & Multi-Agent Systems at Tech Mahindra via Proliant InfoTech & Shaft Solutions, Sep 2021 - Mar 2023 · 1 yr 7 mos, Bengaluru, Designed and delivered enterprise AI, NLP, and intelligent automation solutions for Telecom and Automotive customers. Key Contributions: • Built semantic search and intelligent document retrieval platforms for 50K+ enterprise documents using Python, OpenAI APIs, FAISS, and FastAPI. • Developed spaCy-based NLP pipelines for telecom entity extraction, improving retrieval precision by 42% while reducing hallucinations. • Architected a custom event-driven multi-worker automation platform using Python asyncio, Redis Streams, and Slack integrations for intelligent NOC automation. • Implemented continuous learning pipelines and engineer feedback loops that improved AI answer accuracy from 68% to 84%. Key Achievements: Reduced P1 incident response time from 45 minutes to 8 minutes (82%). Improved MTTR by 35%. Reduced L1 → L2 escalations by 28%.

Sr. AWS DevOps Engineer at ValueLabs, May 2021 - Aug 2021 · 4 mos, Bengaluru, Built SDSBOT Slack automation bot (Python / NodeJS / Hubot) on AWS EKS with JIRA REST API integration, automating Kubernetes queries and ticket creation for SRE teams.

Cloud DevOps Engineer at VG Minds Solutions Pvt Ltd, Dec 2019 - Oct 2020 · 11 mos, Bengaluru, Barclays UK DevOps platform — Jenkins CI/CD, Docker/Kubernetes, Ansible configuration management, SonarQube/JFrog integration, AWS S3/IAM/Load Balancer management.

Education

Bachelor of Science, Computer Science, Sri Venkateshwara High School