Pavan Gangadhar
@pavangangadhar
I build AI agents with LLMs—RAG, multi-agent systems, and production deployment for real workflows.
IndiaWhat I'm looking for
I’m an AI Agent Developer building LLM-powered systems at Oracle, focused on automating complex workflows across APIs, databases, and external tools. I design Retrieval-Augmented Generation (RAG) solutions using vector databases like FAISS and Pinecone to deliver context-aware, accurate responses for enterprise use cases.
I implement multi-agent architectures for planning, coordination, and execution using LangChain, LangGraph, and other agent frameworks. I optimize prompt engineering to improve reasoning and reduce hallucinations, integrate agents with backend services via REST APIs and microservices, and manage context and memory for long-running performance.
I also bring strong production and reliability practices—deploying AI services with FastAPI, Docker, and Kubernetes, and adding observability with logging and evaluation pipelines. On top of that, my earlier software and ML internships (including TensorFlow-based image recognition) keep me grounded in building end-to-end products that work well in real environments.
Experience
Work history, roles, and key accomplishments
• Designed and developed AI agents using LLMs to automate complex workflows, enabling intelligent task execution across APIs, databases, and external tools
• Built Retrieval-Augmented Generation (RAG) systems using vector databases (FAISS/Pinecone) to provide context-aware, accurate responses for enterprise use cases
• Implemented multi-agent architectures for task planning, coordination, and exec
Interned as a Software Developer in iOS Development, focusing on enhancing client applications.
worked on the UI revamp for a client project, implementing modern design principles and improving user experience.
Worked with Swift and Xcode to develop and optimize features for seamless functionality.
Collaborated with a dynamic team to deliver high-quality, user-centric solutions.
Gained hands-on ex
Engaged in the development of cross-platform software applications targeting both Android and iOS operating systems. Successfully delivered multiple custom applications tailored to specific client needs. Proficiently integrated external APIs and implemented robust data handling mechanisms within the applications.
Worked as an Engineering Intern at Octal Optimum Technologies Pvt. Ltd.
Internship involved developing machine learning models utilizing TensorFlow for image recognition tasks, specifically focused on the detection of medical conditions like COVID-19, viral pneumonia, lung cancer, and tuberculosis from chest X-ray images. These models were subsequently integrated into a software application designed for local deployment on mobile devices, including Android and iOS pla
During the internship, I was tasked with developing a software application that served as a mobile counterpart to the company's existing website. This application aimed to replicate and encompass all the functionalities and features present on the website.
Worked as an intern App Developer at JSports.
Commenced my internship as a software developer at Soskru Company, where I undertook the development of a mobile application. My responsibilities included the implementation of Firebase authentication for login and OTP verification. Additionally, I applied the Bloc architecture to manage the state of the application.
Education
Degrees, certifications, and relevant coursework
Dayananda Sagar College of Engineering, BANGALORE
Bachelor of Engineering - BE, Computer Science
2021 - 2024
Dayananda Sagar College of Engineering
Bachelor of Engineering, Computer Science
2021 - 2024
Bachelor of Engineering (BE) in Computer Science at Dayananda Sagar College of Engineering from 2021 to 2024.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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