Headline

AI Engineer at Kyndryl | Agentic AI and Generative AI | Cloud Engineering, LLMs, RAG, MCP, Azure and Terraform

About

Im an AI/ML Engineer at Kyndryl, building production-grade Generative AI applications, agentic systems, and LLM-powered workflows that solve real engineering problems. My work spans multi-agent orchestration, Retrieval-Augmented Generation (RAG), and AI-driven automation, with a focus on turning complex workflows into practical, scalable solutions.In my current role, Ive developed multi-agent workflows using LangGraph, built RAG pipelines with embeddings, semantic chunking, BM25, and hybrid retrieval, and created a custom Model Context Protocol (MCP) server integrating Azure Migrate APIs and tools to support cloud migration activities. Ive also developed FastAPI-based services and worked with Azure, Docker, Kubernetes, Terraform, and CI/CD pipelines to support AI and cloud engineering workflows. My work has contributed to reducing technical solution document delivery time by 90% and manual review effort by 80%.Beyond application development, Im interested in the engineering behind reliable AI systems: evaluation, retrieval quality, failure analysis, workflow orchestration, and the integration of LLMs with deterministic validation and existing enterprise systems. My experience also includes RAGFlow optimization, LoRA fine-tuning, dataset creation and curation, and computer vision research, giving me a broader perspective across Generative AI, machine learning, and deep learning.I enjoy working at the intersection of AI research and practical engineering, experimenting with new approaches and translating them into solutions that deliver measurable value. Im particularly interested in opportunities across Applied AI, Machine Learning, Generative AI, and Agentic AI, where I can build robust AI systems that move beyond prototypes into real-world applications.

Location

Bangalore Urban

AI stack

aistudio

anthropic apis

antigravity

deepseek

gemini

github copilot

Work experience

Artificial Intelligence Engineer at Kyndryl India, Jan 2025 - Present · 1 yr 10 mos, Bengaluru, Developing AI-powered solutions at the intersection of Agentic AI, Generative AI, cloud engineering, and infrastructure automation.Designed and developed multi-agent systems using LangGraph, LangChain, and Google ADK to automate complex engineering workflows.Built end-to-end Retrieval-Augmented Generation (RAG) pipelines, integrating embeddings, hybrid retrieval, and vector search to improve knowledge retrieval from enterprise data.Developed custom Model Context Protocol (MCP) servers integrating APIs and SDKs to enable AI agents to interact with cloud platforms and automate Azure Migrate workflows for rehost cloud migrations.Built AI-driven infrastructure automation solutions using Terraform to translate high-level requirements into infrastructure configurations.Developed and customized Backstage plugins and CI/CD pipelines to streamline developer workflows and platform engineering.Worked with Azure, Docker, Kubernetes, Python, and GitHub Actions to support cloud-based application development and deployment.Contributed to AI-driven technical documentation workflows, helping reduce solution document delivery time by 90% and manual review effort by 80%.

System Engineer at ClouDepend Systems, Oct 2024 - Jan 2025 · 4 mos, Bengaluru

Intern at Bosch Global Software Technologies, Jan 2024 - Jul 2024 · 7 mos, Bengaluru, Worked on a healthcare computer vision project focused on distinguishing nucleated red blood cells (nRBCs) from white blood cells (WBCs) in medical images.Worked on image processing and classification techniques to identify and distinguish nucleated red blood cells from white blood cells.Applied computer vision and machine learning concepts to medical image analysis, contributing to automated cell classification.Explored image-based classification approaches to support the analysis of blood cell images in healthcare applications.

Intern at Bosch Global Software Technologies, Jun 2023 - Aug 2023 · 3 mos, Bengaluru, Worked on healthcare-focused machine learning and computer vision projects, applying image processing and classification techniques to medical imaging problems.Developed an image-processing and machine learning workflow for malarial parasite classification, exploring automated classification of parasites from microscopy images.Applied computer vision and image analysis techniques to extract relevant features and support medical image classification.Worked on healthcare AI applications focused on automating image-based analysis and supporting more efficient diagnostic workflows.

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, PES University

High School Diploma, Baldwin Girls' High School