Engagements available for consulting and training

AI Consulting & Training for Teams Deploying AI in the Real World

Hamed Alikhani, PhD

I help mid-market companies, enterprises, and nonprofits design, evaluate, and deploy production-ready AI systems — from AI agents and RAG pipelines to safe, cost-controlled GenAI workflows.

Austin-based • Serving teams across Central Texas and the U.S.

0M+ Annual Profit Impact

0+ AI Learners Mentored

0% LLM Safety Accuracy

Award Winner
Best Paper & Hackathon

Production-first mindset — real systems, not demos Safety & evaluation built in — not bolted on later Hands-on + strategic — architecture, implementation, and training

Book a 15-Minute Intro Call See How I Work

PhD

AI Expert

Multi-Agent AI

LLM Safety

$100M Impact

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About Me

Transforming Ideas into Intelligent Systems

A passionate AI innovator with a proven track record of building enterprise-scale solutions

7+ Years of
Experience

Building the Future of AI, One System at a Time

I'm a PhD-level Senior AI Engineer with deep expertise in Agentic AI Architecture and LLM Safety. My work focuses on the core pillars of production-grade AI: Security & Guardrails, Cost Efficiency, and System Reliability.

From designing multi-agent systems at McGraw Hill to building forecasting pipelines with $100M annual profit impact at Kraft Heinz, I've consistently delivered measurable outcomes that transform businesses.

As the CEO & Founder of Austin AI Hub, I'm passionate about democratizing AI education and building trauma-aware AI systems that make a real difference in people's lives.

My work has been recognized with the Best Paper Award from the ASCE Journal and as the Winner of Kraft Heinz AI Hackathon, where I delivered the most innovative AI project across the company.

                                
                                Location
                                Austin, TX

                                
                                Education
                                PhD, Texas A&M

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Core Skills

Technical Expertise

Mastering the full stack of modern AI engineering

Agentic AI & LLM Systems

Building intelligent multi-agent orchestration systems with robust safety guardrails.

Multi-Agent Orchestration
Tool/Function Calling
LLM Safety & Guardrails
Semantic Routing
LangChain & CrewAI
Pydantic Validation

RAG & Retrieval Systems

Designing high-performance retrieval pipelines with optimal accuracy and efficiency.

Hybrid Retrieval (BM25 + Semantic)
Structure-Aware Chunking
Context Assembly
Token & Latency Optimization
Weaviate & Chroma
RAG Ingestion Pipelines

Evaluation & Observability

Implementing comprehensive testing and monitoring for production AI systems.

LLM-as-a-Judge Evaluation
Red-Teaming & Security
LangSmith Tracing
Retrieval Metrics
A/B Testing
Performance Monitoring

Backend & Production

Building scalable, production-ready AI services with enterprise reliability.

FastAPI Microservices
Hybrid Concurrency
Docker & Containerization
CI/CD Pipelines
Azure Functions
GitHub Actions

ML & Data Pipelines

Developing sophisticated machine learning models and data engineering solutions.

Transformers & LSTM
Time-Series Modeling
PySpark & Distributed Computing
Advanced Python
Optimization Algorithms
Genetic Algorithms

Cloud & Infrastructure

Architecting scalable cloud solutions for AI workloads at enterprise scale.

Azure & Azure ML
AWS Guardrails
Databricks
Vector Databases
Vast.ai GPU Computing
MLOps

Career Journey

Professional Experience

A track record of delivering high-impact AI solutions

McGraw Hill

Senior AI Engineer (Contract)

June 2025 – Present

Led production-grade LLM safety and document ingestion systems achieving 96% sensitivity / 90% specificity at $0.00145 per 1K characters
Built RAG pipeline with structure-aware chunking and hybrid retrieval achieving >90% accuracy/recall
Deployed evaluation infrastructure using LangSmith and red-team datasets as FastAPI microservice

LLM Safety RAG FastAPI LangSmith

Kraft Heinz Company

Data Scientist

May 2023 – Mar 2025

Designed genetic-algorithm-based ensemble optimization, improving forecast stability by 18% with $100M annual profit impact
Engineered distributed time-series pipelines scaling across thousands of SKUs for inventory optimization
Built LLM-based SQL generation tools, significantly increasing analyst productivity
Won AI Hackathon (2023) analyzing 100K+ nutrition labels for market trends

Forecasting PySpark Azure ML Genetic Algorithms

Texas A&M University

Research Data Scientist

Sep 2018 – May 2023

Built forecasting, optimization, and computer vision models (LSTM, XGBoost, Faster R-CNN) for transportation systems
Processed and modeled 1,000+ large-scale infrastructure datasets for strategic planning
Earned multiple research awards including Best Paper Award and High Value Research Award

Deep Learning Computer Vision Research PhD

Independent AI Architect

Consultant

Apr 2025 – Jun 2025

Designed voice-enabled multi-agent workflow (Retell AI, Twilio) for dental clinic automation
Architected SoulShield - privacy-preserving AI with zero-retention policies using Azure

Voice AI Multi-Agent Privacy

AIHubAgents

AI Engineer (Part-Time)

Dec 2024 – Apr 2025

Fine-tuned Mistral and GPT-4o using LoRA/QLoRA on Vast.ai for adaptive agent behavior
Developed adaptive microagents achieving 12% improvement in user engagement

Fine-Tuning LoRA Agents

Leadership & Impact

Featured Initiatives

Building communities and making AI accessible to everyone

CEO & Founder

Austin AI Hub

Leading a nonprofit community dedicated to AI literacy and hands-on education. Mentoring 200+ learners and delivering AI training for PCSI executives.

200+ AI Learners Mentored
Executive AI Training Programs
SxSW 2026 AI Accelerator
Trauma-Aware AI Education

AI for Good

SoulShield AI

Privacy-preserving AI system with zero-retention LLM policies, designed to protect vulnerable users while providing empathetic AI assistance.

Zero Data Retention
Trauma-Informed Design
Azure-Based Security

Recognition Excellence

Awards & Honors

Recognized for innovation, technical excellence, and groundbreaking AI research

Best Paper Award ASCE Journal • 2024

AI Hackathon Winner Kraft Heinz • 2023

Outstanding Graduate Scholarship Texas A&M • 2020-2022

High Value Research Award Montana DOT • 2021

Conference Speaker

Speaking Engagements

Sharing insights on AI architecture, safety, and production systems

Upcoming

Data Science Salon Austin GenAI & Intelligent Agents in the Enterprise

From Prompts to Production: Building Reliable AI Agents for the Enterprise

Exploring how to design, build, and deploy AI agents that operate safely, efficiently, and at scale. Covering architectural patterns, tool orchestration, memory management, LLM safety, and production optimization.

February 18, 2026

Oracle HQ, Austin TX

Learn More Register

Open to Speaking Opportunities

I'm available for keynotes, conference talks, workshops, and panel discussions on topics including:

Agentic AI & Multi-Agent Systems
LLM Safety & Guardrails
Production AI Architecture
AI in Enterprise

Get in touch to discuss

Academic Background

Education & Credentials

Ph.D., Multidisciplinary Engineering (AI-focused)

Texas A&M University 2023

M.S., Project Management

Sharif University of Technology 2014

B.S., Engineering

University of Tehran 2012

What People Say

Testimonials

Feedback from colleagues and collaborators

"I've had the pleasure of working closely with Hamed, and his impact on our team has been nothing short of exceptional. His deep research into advanced forecasting techniques, particularly his work on genetic algorithms for optimizing model ensembling, has significantly improved both forecast stability and accuracy. Beyond his technical expertise, Hamed has consistently demonstrated a keen ability to think outside the box, presenting innovative ideas that have driven multiple projects forward. His creativity and problem-solving skills were especially evident when he won our internal AI hackathon, where he delivered the most innovative and value-adding AI project across the company. What truly sets Hamed apart is his willingness to collaborate and contribute beyond his core responsibilities. Whether it's supporting cross-functional initiatives or lending his expertise to enhance other projects, he consistently goes above and beyond. His thorough, well-structured, and forward-thinking approach ensures that his work is both impactful and scalable. Hamed is a rare combination of technical excellence, innovation, and teamwork, and I highly recommend him to anyone looking for a top-tier data scientist."

Jeffrey Tackes

Global Head of Forecasting, Principal Data Scientist The Kraft Heinz Company

AI Consulting & Training for Teams Deploying AI in the Real World

Transforming Ideas into Intelligent Systems

Building the Future of AI, One System at a Time