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I am a hands-on AI Engineer with 4+ years delivering production-grade RAG and agentic AI solutions for financial services clients. I specialize in AWS Bedrock, LangChain, multi-agent systems, ML, and MLOps, with a strong focus on scalable, reliable, and compliant deployments. My experience spans academia and industry, including AI Graduate Researcher at the University of Wollongong and Senior AI Engineer at Infosys, with cloud and DevOps experience. I enjoy building reusable AI components, solving complex data problems, and translating business requirements into AI-powered solutions.…I am a hands-on AI Engineer with 4+ years delivering production-grade RAG and agentic AI solutions for financial services clients. I specialize in AWS Bedrock, LangChain, multi-agent systems, ML, and MLOps, with a strong focus on scalable, reliable, and compliant deployments. My experience spans academia and industry, including AI Graduate Researcher at the University of Wollongong and Senior AI Engineer at Infosys, with cloud and DevOps experience. I enjoy building reusable AI components, solving complex data problems, and translating business requirements into AI-powered solutions.

Deepak Bolleddu

AI Engineer, Data Scientist, AI Developer, +3

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I am a hands-on AI Engineer with 4+ years delivering production-grade RAG and agentic AI solutions for financial services clients. I specialize in AWS Bedrock, LangChain, multi-agent systems, ML, and MLOps, with a strong focus on scalable, reliable, and compliant deployments. My experience spans academia and industry, including AI Graduate Researcher at the University of Wollongong and Senior AI Engineer at Infosys, with cloud and DevOps experience. I enjoy building reusable AI components, solving complex data problems, and translating business requirements into AI-powered solutions.…I am a hands-on AI Engineer with 4+ years delivering production-grade RAG and agentic AI solutions for financial services clients. I specialize in AWS Bedrock, LangChain, multi-agent systems, ML, and MLOps, with a strong focus on scalable, reliable, and compliant deployments. My experience spans academia and industry, including AI Graduate Researcher at the University of Wollongong and Senior AI Engineer at Infosys, with cloud and DevOps experience. I enjoy building reusable AI components, solving complex data problems, and translating business requirements into AI-powered solutions.

Available to hire

I am a hands-on AI Engineer with 4+ years delivering production-grade RAG and agentic AI solutions for financial services clients. I specialize in AWS Bedrock, LangChain, multi-agent systems, ML, and MLOps, with a strong focus on scalable, reliable, and compliant deployments.

My experience spans academia and industry, including AI Graduate Researcher at the University of Wollongong and Senior AI Engineer at Infosys, with cloud and DevOps experience. I enjoy building reusable AI components, solving complex data problems, and translating business requirements into AI-powered solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Graduate Researcher (Computer Vision) at University of Wollongong

November 1, 2024 - Present

Leveraged the NCI Gadi supercomputer to train large-scale 3D deep learning models, optimizing PyTorch code for multi-GPU distributed environments. Built robust ETL pipelines to process TB-scale medical imaging datasets, implementing rigorous data versioning and quality checks. Implemented DenseCRF for 3D boundary refinement.

Senior AI Research Engineer at Infosys Limited

August 1, 2023 - February 1, 2024

Designed and deployed generative AI and retrieval systems, optimizing inference latency for real-time applications. Managed model containerization and deployment on Azure/AWS cloud infrastructure, ensuring scalability for enterprise workloads.

Systems Engineer at Infosys Limited

September 1, 2021 - August 1, 2023

Developed high-performance backend microservices using Java Spring Boot, handling high-throughput data transactions. Optimized database queries and API response times, improving overall system efficiency by 30%.

AI Graduate Researcher at University of Wollongong

November 1, 2024 - February 1, 2026

Leveraged the NCI Gadi supercomputer and distributed GPU environments to train large-scale multi-modal models, optimized PyTorch code for enhanced performance, and engineered data fusion pipelines for complex, unstructured data streams, demonstrating capability to handle enterprise-scale AI workloads and advanced data preparation techniques.

Senior AI Engineer – RAG & Agentic Systems at Infosys Limited

August 1, 2023 - February 1, 2024

Designed and deployed a production-grade Retrieval-Augmented Generation (RAG) solution on AWS Bedrock, processed 15,000+ technical documents with sub-200ms retrieval latency, built autonomous AI agents using LangGraph, LangChain, and LangFuse, incorporating ReAct patterns and tool-use capabilities for automated document analysis and decision support with MLOps principles. Engineered scalable data pipelines for document chunking, embedding generation (Amazon Titan), and indexing into Pinecone/FAISS vector stores. Implemented prompt engineering, context-window optimization, and drift detection pipelines to maintain model accuracy in production. Built observability solutions and CI/CD pipelines for efficient agent deployment and updates.

Systems Engineer (Cloud & DevOps) at Infosys Limited

September 1, 2021 - August 1, 2023

Developed high-performance backend systems for a major U.S. Insurance provider using Java and Spring Boot, ensuring strict compliance with financial data standards. Designed and maintained 10+ production REST APIs, managed end-to-end deployment cycles leveraging Docker and AWS, built monitoring dashboards with CloudWatch, and performed real-time troubleshooting to minimize downtime. Built automated deployment pipelines on Linux/Unix environments, reducing deployment time by 60% and enhancing operational efficiency.