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I am a Senior AI / Machine Learning Engineer with 8+ years of experience delivering production-grade ML and Generative AI systems at Google and Amazon, specializing in LLM fine-tuning, RLHF, RAG, and multimodal AI across text, vision, video, and documents. I have led end-to-end architecture and inference platforms, shipping scalable solutions for billions of users while optimizing latency, reliability, and cost. I enjoy mentoring teams, shaping platform standards, and collaborating with product, privacy, and legal teams to deliver Responsible AI–compliant systems. I focus on safety, governance, and measurable business impact, and I thrive on tackling complex reasoning tasks with tool-augmented and agentic AI approaches.…I am a Senior AI / Machine Learning Engineer with 8+ years of experience delivering production-grade ML and Generative AI systems at Google and Amazon, specializing in LLM fine-tuning, RLHF, RAG, and multimodal AI across text, vision, video, and documents. I have led end-to-end architecture and inference platforms, shipping scalable solutions for billions of users while optimizing latency, reliability, and cost. I enjoy mentoring teams, shaping platform standards, and collaborating with product, privacy, and legal teams to deliver Responsible AI–compliant systems. I focus on safety, governance, and measurable business impact, and I thrive on tackling complex reasoning tasks with tool-augmented and agentic AI approaches.

Maxcimiliano Miranda

AI Engineer, Data Scientist, Developer, +4

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I am a Senior AI / Machine Learning Engineer with 8+ years of experience delivering production-grade ML and Generative AI systems at Google and Amazon, specializing in LLM fine-tuning, RLHF, RAG, and multimodal AI across text, vision, video, and documents. I have led end-to-end architecture and inference platforms, shipping scalable solutions for billions of users while optimizing latency, reliability, and cost. I enjoy mentoring teams, shaping platform standards, and collaborating with product, privacy, and legal teams to deliver Responsible AI–compliant systems. I focus on safety, governance, and measurable business impact, and I thrive on tackling complex reasoning tasks with tool-augmented and agentic AI approaches.…I am a Senior AI / Machine Learning Engineer with 8+ years of experience delivering production-grade ML and Generative AI systems at Google and Amazon, specializing in LLM fine-tuning, RLHF, RAG, and multimodal AI across text, vision, video, and documents. I have led end-to-end architecture and inference platforms, shipping scalable solutions for billions of users while optimizing latency, reliability, and cost. I enjoy mentoring teams, shaping platform standards, and collaborating with product, privacy, and legal teams to deliver Responsible AI–compliant systems. I focus on safety, governance, and measurable business impact, and I thrive on tackling complex reasoning tasks with tool-augmented and agentic AI approaches.

Available to hire

I am a Senior AI / Machine Learning Engineer with 8+ years of experience delivering production-grade ML and Generative AI systems at Google and Amazon, specializing in LLM fine-tuning, RLHF, RAG, and multimodal AI across text, vision, video, and documents. I have led end-to-end architecture and inference platforms, shipping scalable solutions for billions of users while optimizing latency, reliability, and cost.

I enjoy mentoring teams, shaping platform standards, and collaborating with product, privacy, and legal teams to deliver Responsible AI–compliant systems. I focus on safety, governance, and measurable business impact, and I thrive on tackling complex reasoning tasks with tool-augmented and agentic AI approaches.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Senior Machine Learning / Generative AI at Google

March 1, 2022 - Present

Technical lead and architect for large-scale ML and Generative AI platforms; defined long-term AI architecture and strategy; designed enterprise-grade Retrieval-Augmented Generation (RAG) pipelines with embeddings, vector stores, hybrid search, rerankers, and knowledge graphs; led LLM fine-tuning and alignment pipelines (SFT, RLHF, PPO, LoRA, PEFT, prompt tuning); built tool-augmented and agentic AI systems (ReAct, function calling, planner-executor) and multi-agent orchestration; engineered high-performance serving infra (FastAPI, Triton, TensorRT, ONNX Runtime) with GPU batching and autoscaling; developed multimodal systems (OCR, document understanding, vision-language models, video) and governance/evaluation frameworks; established ML evaluation, bias auditing, red-teaming, and safety practices.

Senior Principal Software Development Engineer (ML Platforms) at Amazon

November 20, 2020 - March 1, 2022

Designed and implemented scalable ML platforms for real-time and batch inference; built ML service layers and inference APIs with FastAPI, asynchronous processing, and containerized deployments; developed AI-driven conversational systems and workflow automation; built OCR and document intelligence pipelines processing hundreds of thousands of documents daily; developed NLP models (NER, classification, semantic similarity, information extraction) to support catalog ingestion, compliance, and search; drove performance optimization, capacity planning, and autoscaling; established cross-functional collaboration for ML systems and improved ML operations (observability, rollback, safety).

Software Engineer ,AI at Focal Point Data Risk

February 1, 2019 - October 31, 2020

Developed ML-driven threat detection and risk scoring systems using behavioral analytics and ensemble models; built chatbot/NLU systems for real-time intelligence workflows; designed scalable ETL and ML pipelines for structured and unstructured security data; deployed computer vision models for image classification and object detection in production.

Associate Software Engineer, AI at Focal Point Data Risk

July 1, 2016 - February 1, 2019

Implemented NLP models for intent classification and response generation in conversational systems; supported feature engineering, model validation, and deployment pipelines; contributed to security-focused AI initiatives within risk and compliance contexts.

Software Engineering Intern at IDT Corporation

June 1, 2014 - August 31, 2015

Built Selenium-based test automation frameworks in Python, reducing manual QA effort by 50%.

Software Engineer , AI at IDT Corporation

June 1, 2014 - August 1, 2015

Internship focusing on test automation frameworks and ML-related tooling during the early career stage.