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Maxcimiliano Miranda

@maxcimilianomiranda

Senior Software Engineer at Google who shipped AI features and improved production inference latency by 20%.

At Google, I developed production machine-learning and generative-AI services, improving service reliability by approximately 24%. I also integrated NLP, computer-vision, BERT, Gemini, and LLaMA components into larger software systems, enabling the launch of three new AI features.

I built LLM workflows for training, fine-tuning, evaluation, and deployment, and developed RAG and agent workflows with LangChain, LangGraph, AutoGen, and CrewAI. These workflows improved grounded-response quality by approximately 20% across internal evaluation datasets, product scenarios, and test suites.

Previously, I built production software and machine-learning services at Amazon, increasing pipeline throughput by approximately 30%. My experience also includes cloud and cybersecurity consulting at Focal Point DataRisk and PwC, and IAM software engineering at Focal Point DataRisk.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Google

Mar 2022 - Present (4 years 7 months)

Led development of production machine learning and generative AI services, improving service reliability by 24% and reducing p95 latency by 28%. Built end-to-end LLM workflows and shipped AI-powered features using React, Next.js, and FastAPI.

Python PyTorch TensorFlow Lang Chain LangGraph AutoGen Crew AI RAG MLOps React Next.js TypeScript fastAPI BERT Gemini LLaMA NLP Computer Vision Evaluation Pipelines Observability

Senior Software Development Engineer

Amazon

Nov 2020 - Mar 2022 (1 year 4 months)

Built production software and machine learning services with Python, PyTorch, and AWS, increasing pipeline throughput by 30% and improving model quality metrics by 16%. Mentored engineers and led technical design and rollout of training and deployment workflows.

Python PyTorch AWS NLP Computer Vision Transformers BERT CNN NodeJS ExpressJS TensorFlow Code Review Testing Mentorship

Senior Principal Consultant

Focal Point DataRisk

Feb 2019 - Oct 2020 (1 year 8 months)

Led software, cloud, cybersecurity, and machine learning engagements from discovery through delivery, shortening project cycles by 25%. Designed Python and PyTorch solutions and advised clients on AWS, Azure, and GCP architecture choices.

Python PyTorch MLOps AWS Azure GCP Architecture Reviews Security Cloud Computing Machine Learning Consulting

Cyber Security Experienced Associate

PwC

Jan 2018 - Feb 2019 (1 year 1 month)

Built cloud and security solutions on AWS for client environments, automating recurring security and cloud-analysis work with Python. Reviewed Azure configurations and access controls, improving remediation accuracy by 20%.

AWS Azure Python Security IAM Automation Cloud Computing Debugging Root Cause Analysis

IAM Software Engineer

Focal Point DataRisk

Jul 2016 - Jan 2018 (1 year 6 months)

Built and maintained software for identity and access-management workflows, automating provisioning and access-management tasks. Applied Azure and secure engineering practices to design cloud identity solutions enforcing role-based access.

IAM Azure Authentication Authorization Provisioning Cloud Computing Security Automation Debugging

Software Engineer Intern

IDT Corporation

Jun 2014 - Aug 2015 (1 year 2 months)

Developed and tested software components for a production engineering team using Git and JIRA. Implemented product features and bug fixes in Java and REST APIs, and explored convolutional neural networks with TensorFlow.