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I'm Peter Pham, a Senior AI Machine Learning Engineer with 12+ years spanning full-stack development and applied ML. I've built content platforms at a media startup, gained hands-on ML production experience at Amazon, and now lead the ML infrastructure and model serving layer at Synophic Worldwide. My strength is bridging research and production—taking models from notebooks to scalable APIs, building the data pipelines that feed them, and ensuring the systems around them are reliable and observable. I work primarily in Python with PyTorch and scikit-learn, and I'm comfortable building the FastAPI services and React interfaces that put ML in front of users.…I'm Peter Pham, a Senior AI Machine Learning Engineer with 12+ years spanning full-stack development and applied ML. I've built content platforms at a media startup, gained hands-on ML production experience at Amazon, and now lead the ML infrastructure and model serving layer at Synophic Worldwide. My strength is bridging research and production—taking models from notebooks to scalable APIs, building the data pipelines that feed them, and ensuring the systems around them are reliable and observable. I work primarily in Python with PyTorch and scikit-learn, and I'm comfortable building the FastAPI services and React interfaces that put ML in front of users.

Peter Pham

AI Engineer, Full Stack Developer, Back-End Developer, +2

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I'm Peter Pham, a Senior AI Machine Learning Engineer with 12+ years spanning full-stack development and applied ML. I've built content platforms at a media startup, gained hands-on ML production experience at Amazon, and now lead the ML infrastructure and model serving layer at Synophic Worldwide. My strength is bridging research and production—taking models from notebooks to scalable APIs, building the data pipelines that feed them, and ensuring the systems around them are reliable and observable. I work primarily in Python with PyTorch and scikit-learn, and I'm comfortable building the FastAPI services and React interfaces that put ML in front of users.…I'm Peter Pham, a Senior AI Machine Learning Engineer with 12+ years spanning full-stack development and applied ML. I've built content platforms at a media startup, gained hands-on ML production experience at Amazon, and now lead the ML infrastructure and model serving layer at Synophic Worldwide. My strength is bridging research and production—taking models from notebooks to scalable APIs, building the data pipelines that feed them, and ensuring the systems around them are reliable and observable. I work primarily in Python with PyTorch and scikit-learn, and I'm comfortable building the FastAPI services and React interfaces that put ML in front of users.

Available to hire

I’m Peter Pham, a Senior AI Machine Learning Engineer with 12+ years spanning full-stack development and applied ML. I’ve built content platforms at a media startup, gained hands-on ML production experience at Amazon, and now lead the ML infrastructure and model serving layer at Synophic Worldwide.

My strength is bridging research and production—taking models from notebooks to scalable APIs, building the data pipelines that feed them, and ensuring the systems around them are reliable and observable. I work primarily in Python with PyTorch and scikit-learn, and I’m comfortable building the FastAPI services and React interfaces that put ML in front of users.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Machine Learning Engineer at Synophic Worldwide

March 1, 2023 - Present

Lead the ML engineering team, owning the full lifecycle from data pipeline design through model training, evaluation, and production deployment; serving predictions and insights to enterprise clients via FastAPI services behind a React analytics dashboard. Designed and deployed a retrieval-augmented generation (RAG) pipeline using LangChain, Pinecone, and OpenAI/Anthropic LLMs to enable enterprise data queries in natural language; built model-serving infrastructure with FastAPI + Triton behind Kubernetes; trained and fine-tuned PyTorch models for text tasks; built data pipelines with Apache Kafka, Airflow, and Pandas; developed a real-time scoring API with sub-200ms p95 latency; created analytics frontend; established A/B testing, shadow deployments, Prometheus/Grafana observability, and Dockerized services deployed to AWS EKS. Mentored junior ML engineers and collaborated with product managers.

AI Full-Stack Engineer at Amazon

June 1, 2020 - January 31, 2023

Built backend for an AI-powered recommendation system in Python, integrating scikit-learn and XGBoost into a FastAPI service that served personalized suggestions to thousands of internal users with caching, pagination, and fallback logic. Developed data pipelines with Pandas, NumPy, and SQL to process engagement data and generate training features; trained classification models with cross-validation and deployed versions behind versioned API endpoints. Implemented OAuth 2.0 and JWT authentication for internal apps, refactoring slow SQL queries, and introduced centralized logging/monitoring, CI/CD pipelines, and feature toggles for A/B testing.

Senior Full-Stack Engineer at Lansweeper

April 1, 2016 - December 1, 2019

Joined as a junior developer on a video content platform, building RESTful APIs in Python for ingestion, metadata tagging, and content search; built a batch NLP pipeline for metadata enrichment; optimized PostgreSQL/Redis queries; migrated legacy services to a clean Python microservice architecture; created reusable React editorial dashboard components; implemented CI/CD with GitHub Actions; set up monitoring with Grafana; mentored juniors and contributed to reliability improvements.

Software Engineer at FlightAware

June 1, 2015 - March 1, 2016

Refactored multi-tenant platforms in React and Django, improving page load performance; reduced query execution time by optimizing PostgreSQL/Redis schemas; rebuilt analytics workflows with Pandas and Databricks for reliable insights; shortened deployment windows by streamlining release processes with Docker and GitLab.

Junior Software Engineer at FlightAware

December 1, 2014 - May 1, 2015

Redesigned UI components with Angular and React, increasing frontend responsiveness; decreased latency by refactoring REST/MySQL endpoints; improved incident detection by centralizing monitoring with Splunk and ELK.