Jerome Hardaway

Jerome Hardaway

Mentor
5.0
(3 reviews)
US$10.00
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6
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speaker at Codementor Events
Speaker at Codementor Events
ABOUT ME
Senior AI Engineer and Instructor
Senior AI Engineer and Instructor

Jerome Hardaway is an AI Engineer and U.S. Air Force veteran with 15+ years in software engineering spanning frontend systems to AI infrastructure. He has built production-scale intelligent systems at Microsoft — powering AI experiences for brands like Starbucks and Domino's — and architected RAG and agentic platforms at Vista Equity Partners analyzing over $100B in assets under management.
His technical work centers on Python, TypeScript/React, Next.js, FastAPI, LangChain/LangGraph, Azure AI services, and Google Cloud. He is a Microsoft Global Hackathon Winner, GitHub Star, and Google Developer Expert who teaches on LinkedIn Learning and Frontend Masters, with engineering insights published by GitHub ReadME and Stack Overflow.
Jerome was honored at the White House by President Obama for his work empowering veterans through technology.

English
Eastern Time (US & Canada) (-04:00)
Joined August 2016
EXPERTISE
10 years experience
Years of Experience: 10+ Related Technologies: FastAPI, LangChain, LangGraph, LangSmith, fontTools, Streamlit Experience: Production AI/M...
Years of Experience: 10+ Related Technologies: FastAPI, LangChain, LangGraph, LangSmith, fontTools, Streamlit Experience: Production AI/ML systems, API development, data pipelines, automation. Built RAG/agentic platforms (Q App at Vista), Microsoft, and McGraw Hill
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10 years experience
Experience: Full-stack web applications, component architecture, enterprise-scale frontends. VWC website (Next.js Pages Router), producti...
Experience: Full-stack web applications, component architecture, enterprise-scale frontends. VWC website (Next.js Pages Router), production dashboards, LinkedIn Learning and Frontend Masters courseware.
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8 years experience
Experience: Production web apps, design system implementation, course platforms, career tools.
Experience: Production web apps, design system implementation, course platforms, career tools.
3 years experience
Production agentic systems, retrieval-augmented generation, observability/tracing, multi-step AI pipelines.
Production agentic systems, retrieval-augmented generation, observability/tracing, multi-step AI pipelines.

REVIEWS FROM CLIENTS

5.0
(3 reviews)
Ben Booton
Ben Booton
March 2025
great
Nate May
Nate May
December 2024
Jerome was exactly who I needed at this stage of planning my learning journey: he was able to give no-BS advice and help me see how I can leverage my current situation into a successful career. He's a passionate and experienced teacher as well as an exemplary professional software engineer.
EMPLOYMENTS
Executive Director
Vets Who Code
2014-05-01-Present
I teach veterans how to write software.
I teach veterans how to write software.
Node.js
Git
Azure
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Node.js
Git
Azure
GitHub
TypeScript
React
JavaScript
Jest
Tailwind css
AWS
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Senior AI Engineer
Vista Equity Partners
2025-09-01-2026-03-01
Built the Q App, a production RAG and agentic intelligence platform for CEO Robert F. Smith, enabling natural language analysis across Vi...
Built the Q App, a production RAG and agentic intelligence platform for CEO Robert F. Smith, enabling natural language analysis across Vista's $100B+ assets under management portfolio. Designed and deployed the full stack using Azure OpenAI, Azure AI Search, FastAPI, Next.js, LangChain, LangSmith, and AKS. Implemented retrieval-augmented generation pipelines for querying complex financial and operational data across portfolio companies. Delivered end-to-end from architecture through production deployment, serving as the primary engineer on the platform.
Python
Azure
TypeScript
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Python
Azure
TypeScript
Next.js
OpenAI
Fastapi
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Senior AI Engineer
McGraw Hill
2025-09-01-2025-11-01
Architected AII Shepherd, a unified agentic AI platform built on LangGraph and LangSmith that enabled scalable AI assistant deployment ac...
Architected AII Shepherd, a unified agentic AI platform built on LangGraph and LangSmith that enabled scalable AI assistant deployment across McGraw Hill's educational product suite. Designed MCP server integration patterns to connect AI workflows with existing internal systems (CAT, CGS, COINS), eliminating redundant custom workflow logic across applications. Built multi-cloud production AI infrastructure spanning AWS (Bedrock, SageMaker) and Azure (OpenAI, AI Search), integrated with FastAPI, PostgreSQL, Redis, and LangSmith for full observability. Contributed to CAT (Content Analysis Tool), an AI-driven system for analyzing and enhancing educational content at scale. Built Scout, a service registry and discovery layer for coordinating multiple AI agent instances. Implemented FERPA-compliant data handling across all AI systems processing student information.
Python
PostgreSQL
Azure
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Python
PostgreSQL
Azure
Docker
OpenAI
AWS SageMaker
Fastapi
Langchain
Langgraph
Langsmith
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