08/02/2026 updated
partially available
info: Available evenings and weekends
Lead AI Engineer | LLM & Agentic Systems, RAG | AWS, Azure, GCP | 10+ years experience
NASHIK, India
Only remote
B.Tech Computer Science, Vishwakarma Institute of Technology, Pune (2011-2015)About me
I help enterprises and scaleups turn AI prototypes into secure, production-grade systems - and leave their teams confident to run them. Lead AI Engineer with 10+ years in enterprise software, now shipping LLM, RAG and agentic features into production across AWS, Azure and GCP.
RAGOpenAIJava (Programming Language)Amazon Web ServicesComputer VisionTest AutomationMicrosoft AzureCloud EngineeringDevOpsElasticsearchPython (Programming Language)PostgreSQLMachine LearningMongoDBNatural Language Processing
Lead AI Engineer and software architect with 10+ years building enterprise systems, the last few focused on shipping LLM and agentic features into production. I build advanced AI prototypes on AWS, Azure and GCP, turn them into secure, scalable production architectures, and work directly with product and customers to take an idea through to a deployed feature. Strong domain background in billing, CRM and telecom/utility platforms, plus enterprise construction software.
Core practice: AI prototyping through to production architecture; RAG and agentic AI systems (context engineering, ontology design, evaluation); multi-cloud AI deployment across AWS, Azure and GCP; enterprise security, compliance and data governance for AI; LLM observability and evaluation (tracing, RAG triad scoring, regression testing); information-architecture-led UI/UX for AI surfaces and generative interfaces.
Languages: Python, Java, C# / .NET, TypeScript, Node.js, JavaScript
AI / LLM engineering: Generative AI, Agentic AI, OpenAI, Anthropic Claude, Google Gemini, Mistral, Ollama, RAG, agentic retrieval, multi-agent systems, generative UI, browser-use automation, prompt and context engineering, custom orchestration
Cloud: AWS (ECS, EC2, S3, RDS, Lambda, OpenSearch), Azure (AKS, App Service, Azure OpenAI, Cognitive Services), GCP (Cloud Run, Vertex AI, Agent Builder)
Vector and search: pgvector, Chroma, Qdrant, Azure AI Search, AWS OpenSearch
Voice and speech: Whisper, Google Speech, Azure Speech, ElevenLabs, Sarvam, custom voice cloning
Computer vision: OpenCV, YOLO
Data: PostgreSQL, MongoDB, Neo4j (Cypher / graph), Redis
DevOps and infra: Docker, Kubernetes, CI/CD (Jenkins, Azure DevOps), Kafka, RabbitMQ
Security and governance: JWT, OAuth, OIDC, RBAC, Black Duck (SCA), data governance
Observability and evaluation: Phoenix, Ragas, RAG triad evaluation, OpenTelemetry, Prometheus, Grafana, Datadog
Backend and APIs: NestJS, Express, FastAPI, REST, GraphQL, microservices, event-driven
Enterprise platforms: Salesforce integration, CPQ systems, enterprise billing and CRM
AI-augmented development: Claude Code, Cursor, Augment, Gemini CLI, GitHub Copilot
Experience
Professional experience10+ years
Freelancer since2025
Languages
EnglishFluentHindiFluent
Project history
Enterprise platforms for the global construction industry - leading AI architecture and applied-AI work over structured enterprise data.
Built the Generative UI feature for RIB Omni - an LLM-driven interface that composes and renders UI in response to user intent instead of fixed screens.
Designed an AI automation harness that drives real UI and application flows for end-to-end testing and repeatable task automation.
Architected agentic retrieval over enterprise construction data: multi-step planning, tool selection and context management to ground LLM output in domain truth.
Built backend automation services that replace manual enterprise workflows with event-driven, agent-triggered pipelines.
Stood up LLM observability and evaluation with Phoenix and Ragas - tracing and RAG triad scoring (context relevance, groundedness, answer relevance) to catch regressions before release.
Led information-architecture-driven UI/UX: structured domain content and navigation models so AI surfaces stay legible at enterprise scale.
Turn advanced AI prototypes into secure, scalable production architectures integrated into the enterprise product.
Lead a team of 5 engineers; run discovery with product and stakeholders and translate requirements into designs and engineering plans.
Independent consulting engagement, delivered remotely.
Built backend services for an AI-powered video analysis product, deployed to production.
Delivered an embeddable SDK with RAG functionality and RBAC for secure client integration.
Remote engagement from Pune, India.
Built AI-powered feedback-analysis systems (Node.js + LLM integrations) processing 10,000+ records per minute in production.
Designed event-driven architectures for real-time data processing and notifications.
Implemented JWT and OAuth authentication for embedding AI components into enterprise systems.
Migrated services to AWS, achieving millisecond response times and ~40% performance improvement.
Certificates
Spec-Driven Development with GitHub Spec Kit
LinkedIn2026
Neo4j Certified Professional
Neo4j2025
Cypher Fundamentals
Neo4j2025
Vector Indexes & Unstructured Data
Neo4j2025
OpenTelemetry Certified Associate (LFS148)
Linux Foundation2025
Salesforce Platform Developer I
Salesforce2024