I build AI systems that turn complex work into simple outcomes.

Specializing in production-ready Generative AI, RAG systems, and agentic workflows that help teams move faster and make better decisions.

Explore my work LinkedIn

LangChain
LangGraph
OpenAI
Claude
Python

Bengaluru, India

01 idea → system → impact

2+Years building software

~50%Less manual test effort

1.8B+AR effect impressions

8.6M.Tech CGPA

About

Engineering intelligence into everyday workflows.

I'm a Software Engineer with 2+ years of experience building enterprise AI products—from context-aware RAG pipelines to multi-step agentic systems.

At NetApp, I design AI-assisted testing and automation workflows using LLMs, embeddings, vector databases, and cloud-native infrastructure. My work connects deep technical systems with thoughtful product experiences, reducing manual effort while improving the quality of decisions.

Outside engineering, I explore visual storytelling through UI design, photography, and augmented reality—creative disciplines that shape how I approach clarity, interaction, and craft.

GenAI systems

Production-ready LLM applications, prompt systems, evaluations, and model integrations.

RAG & agents

Grounded retrieval, vector search, and stateful agents that automate complex workflows.

Cloud AI

Containerized AI services and APIs built for AWS, Azure, and Kubernetes environments.

Product craft

Human-centered interfaces and visual systems that make advanced technology approachable.

Experience

Where I've made an impact.

Building at the intersection of applied AI, enterprise infrastructure, and developer productivity.

Aug 2024 — Present Bengaluru, India

Software Engineer

NetApp

Current

Designed enterprise GenAI applications for automated test-case generation, scenario recommendation, review, and validation.
Built RAG solutions that create context-aware testing artifacts from Jira tickets, requirement documents, and technical specifications.
Integrated OpenAI and Claude models into assistants that reduced manual test design and automation effort by approximately 50%.
Contributed to NetApp AI Data Engine and ONTAP through Kubernetes deployments, API testing, and automation frameworks.

Jul 2023 — May 2024 Bengaluru, India

Software Developer Intern

Danlaw Inc.

Developed a V2X and ADAS simulation framework using CARLA and SUMO.
Integrated YOLOv8 object detection and designed a PyQt5 interface to simplify test workflows.

Toolkit

Built with the right tools, not just the trendy ones.

I choose technology around the problem, balancing experimentation with reliability and maintainability.

GenAI & LLMs

Generative AI, Agentic AI, RAG, LangChain, LangGraph, Prompt Engineering, LLMOps, OpenAI, Claude, Llama 3, Hugging Face, Ollama

ML & Data

TensorFlow, PyTorch, NLP, Deep Learning, FAISS, ChromaDB, Milvus, Embeddings, Vector Databases

Engineering

Python, C++, Java, SQL, Flask, REST APIs, Git, Jira

Cloud & DevOps

AWS, Azure, Kubernetes, Docker, NetApp ONTAP, NetApp AIDE

Selected work

Ideas shipped into real systems.

A selection of enterprise, research, and product work across AI and machine learning.

01Enterprise GenAI

AI-powered test intelligence

Enterprise workflows that transform requirements and Jira context into generated, reviewed, and validated testing artifacts—cutting manual effort by approximately 50%.

02Research