I am a recent Postgraduate in DevOps for Cloud Computing with over three years of experience specializing in AI, Generative AI, NLP, and data engineering. My expertise includes integrating machine learning models, developing retrieval-augmented generation systems, and building scalable data pipelines. I enjoy working hands-on with both structured and unstructured data to create Python-based modular AI solutions and deploying containerized applications with Docker and Kubernetes. I am passionate about applying AI technologies to address business challenges and thrive on collaborating across teams to foster data-driven decision-making. With practical experience on cloud platforms such as Azure, AWS, and Google Cloud, as well as technologies like LangChain and TensorFlow, I continuously seek opportunities to enhance solutions with cutting-edge AI frameworks and DevOps best practices.

Agnelo Nunes

I am a recent Postgraduate in DevOps for Cloud Computing with over three years of experience specializing in AI, Generative AI, NLP, and data engineering. My expertise includes integrating machine learning models, developing retrieval-augmented generation systems, and building scalable data pipelines. I enjoy working hands-on with both structured and unstructured data to create Python-based modular AI solutions and deploying containerized applications with Docker and Kubernetes. I am passionate about applying AI technologies to address business challenges and thrive on collaborating across teams to foster data-driven decision-making. With practical experience on cloud platforms such as Azure, AWS, and Google Cloud, as well as technologies like LangChain and TensorFlow, I continuously seek opportunities to enhance solutions with cutting-edge AI frameworks and DevOps best practices.

Available to hire

I am a recent Postgraduate in DevOps for Cloud Computing with over three years of experience specializing in AI, Generative AI, NLP, and data engineering. My expertise includes integrating machine learning models, developing retrieval-augmented generation systems, and building scalable data pipelines. I enjoy working hands-on with both structured and unstructured data to create Python-based modular AI solutions and deploying containerized applications with Docker and Kubernetes.

I am passionate about applying AI technologies to address business challenges and thrive on collaborating across teams to foster data-driven decision-making. With practical experience on cloud platforms such as Azure, AWS, and Google Cloud, as well as technologies like LangChain and TensorFlow, I continuously seek opportunities to enhance solutions with cutting-edge AI frameworks and DevOps best practices.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Software Developer Co-Op at RBC Royal Bank
April 30, 2025 - August 5, 2025
Designed and developed a production-grade Generative AI chatbot using LangChain, LangGraph, and Azure OpenAI API to enable real-time AI-powered business decision support. Built ETL pipelines extracting and transforming unstructured data from Confluence into a PGVector database using Python scripts, recommending migration to Apache Airflow for scalable workflow orchestration. Researched and optimized retrieval-augmented generation techniques to improve information retrieval accuracy and performance. Integrated an ML anomaly detection model utilizing K-Means clustering to enhance system monitoring and troubleshooting. Containerized applications via Docker multi-stage builds following security best practices and deployed using Kubernetes (OpenShift 4), GitHub Actions, and Helios pipeline. Actively collaborated in Agile SDLC processes including sprint planning, testing, and deployment.
Systems Engineer at Tata Consultancy Services (TCS)
July 31, 2023 - August 5, 2025
Developed Java-based object-oriented components within the Seeburger EDI tool, implementing scalable message transformation logic for banking transaction processing. Automated data processing and ETL workflows leveraging Unix shell scripting and PowerShell, significantly reducing manual effort and vendor dependency. Authored complex SQL scripts and managed data mappings for cross-border payment systems compliance and integrity. Mentored junior developers and collaborated closely with business analysts, actively participating in Agile ceremonies to ensure high-quality enterprise solution delivery. Supported CI/CD pipelines through GitHub Actions and addressed security reviews for vulnerability mitigation.

Education

Postgraduate Degree – DevOps for Cloud Computing at Lambton College
January 1, 2023 - December 31, 2025
Bachelor's in Computer Engineering at Mumbai University
January 1, 2016 - January 1, 2020

Qualifications

Google Cloud Certified Associate Cloud Engineer
January 11, 2030 - August 5, 2025
Completed Andrew Ng’s Deep Learning Specialization (Coursera)
January 11, 2030 - August 5, 2025

Industry Experience

Financial Services, Software & Internet, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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