Headline

Lead Software Engineer | Master's in Data Science

About

🚀 Lead Software Engineer | AI/ML Solutions Architect | Scalable AI Agents • LangGraph • LangChain • Azure AI Agents • GenAI I’m a technology leader with 10+ years of experience building scalable, cloud-native platforms powered by AI. At ConcertAI, I lead high-performing teams delivering intelligent solutions across healthcare and enterprise domains — blending engineering excellence with cutting-edge innovation in AI/ML. 🔍 Core Expertise: Designing and deploying scalable AI Agents using LangChain, LangGraph, and Azure AI Agents for real-time decision-making and automation. Leveraging Generative AI (OpenAI GPT-4, Azure OpenAI), RAG pipelines, and Knowledge Graphs to enhance data retrieval and contextual understanding. Implementing end-to-end AI workflows with vector search using ChromaDB, pgvector, and prompt engineering for domain-specific applications. Building full-stack systems with C#, Python, Angular, TypeScript, and scalable data layers using MongoDB, PostgreSQL, CosmosDB, and Vector DBs. Developing cloud-native services using Docker, Kubernetes, and serverless technologies on Azure and AWS. Delivering interactive, AI-powered analytics dashboards using Streamlit and Apache Superset. 💡 Key AI Models & Tools: LLMs: OpenAI GPT-4, GPT-3.5, Azure OpenAI, Hugging Face Transformers Forecasting: Facebook Prophet, time series models Orchestration: LangGraph, LangChain, Azure AI Studio Agents RAG & Retrieval: ChromaDB, pgvector, Knowledge Graphs 🎯 Vision & Goals: I’m driven to build the next generation of intelligent AI agent platforms — combining GenAI, knowledge-driven reasoning, and autonomous workflows. I aim to lead teams solving real-world problems using modular AI architectures that scale across industries. 📩 Let’s Connect If You’re Working On: AI Agents, LangGraph, or orchestrated GenAI pipelines Cloud-native systems with Docker, Kubernetes, Azure, or AWS LLM applications using RAG, Knowledge Graphs, and real-time analytics AI-driven decision platforms in healthcare, logistics, or enterprise tech

Location

Bengaluru

AI stack

anthropic apis

codex

langfuse

langgraph

langsmith

mcp

Work experience

Lead Software Engineer at ConcertAI, Aug 2022 - Present · 4 yrs 1 mo, Bengaluru, Karnataka, India

Lead Engineer at ConcertAI, Aug 2022 - Present · 4 yrs 1 mo, Led the development of Gen AI-powered healthcare platforms using Azure AI Foundry, enabling rapid experimentation and deployment of fine-tuned LLMs for clinical tasks such as patient triage, radiology report summarization, and treatment recommendation generation. Integrated Crew AI agents to manage complex task orchestration among LLMs, combining autonomous agents for data extraction, medical code mapping (e.g., ICD-10), and multi-turn clinical decision support. Designed and deployed Retrieval-Augmented Generation (RAG) pipelines using LangChain and ChromaDB, supporting intelligent search and Q&A over radiology archives, oncology notes, and EHR datasets. Delivered Angular-based SPA interfaces and Gen AI widgets for physician-facing applications, enabling contextual chat, summarization, and real-time recommendations. Engineered scalable microservices with ASP.NET Core, deployed via Docker and EKS (AWS Kubernetes) to support production-grade AI workloads. Developed secure DICOM ingestion and transformation pipelines using DICOMweb APIs, HL7, and classic protocols (C-FIND, C-MOVE, C-STORE) to ensure PACS integration and real-time image processing. Managed multi-modal clinical data using MongoDB, PostgreSQL, Elasticsearch, and vector databases to enable personalized search, diagnostics, and Gen AI-enabled workflows.

Technical Lead at 3i Infotech Ltd., Aug 2021 - Jul 2022 · 1 yr, Chennai, Tamil Nadu, India, Architected a AI-enhanced compliance auditing system using Azure AI Search and Azure Cognitive Services to analyze and summarize logs, configuration drift, and policy violations from enterprise cloud systems. Leveraged Azure Synapse Analytics to ingest and process massive telemetry datasets, feeding into Gen AI-powered dashboards for real-time risk analysis and security insights. Built secure pipelines using Azure Durable Functions and Az-PowerShell to automate data aggregation across Cosmos DB, AppInsights, and Kusto. Integrated Azure AI and vector search to deliver intelligent, context-aware audit chatbots and report assistants for the InfoSec team. Streamlined DevSecOps with secure CI/CD pipelines in Azure DevOps, ensuring compliance-driven delivery of AI and cloud solutions. Created interactive visualizations and executive-level summaries using Power BI backed by LLM-generated insights and anomaly detection.

Senior Software Engineer at ShuffleLabs, Mar 2021 - Aug 2021 · 6 mos, Chennai, Tamil Nadu, India

Information Technology Analyst at Tata Consultancy Services, May 2019 - Mar 2021 · 1 yr 11 mos, Chennai, Tamil Nadu, India

Senior Software Developer at Scientific Publishing Services Pvt Ltd, Oct 2016 - May 2019 · 2 yrs 8 mos, India

Education

Doctor of Business Administration, Artificial Intelligence and Machine Learning, Walsh College

Master's degree, Data science, Deakin University