Freelance AI Agent Engineers in Houston

Freelance AI Agent Engineers in HoustonFreelance AI Agent Engineers in Houston

Projects People

Full Stack Developer | Project Manager | Executive Assistant

53: Followers

Full Stack Developer | Project Manager | Executive Assistant

Cover image for Turning long documents into decisions. Organizations rely on...

Turning long documents into decisions. Organizations rely on long reports to make critical decisions, but most insights stay buried. This AI Decision Intelligence system turns raw documents into predictions, evidence scoring, and clear insights in minutes. If AI could read your reports for you, what decisions would you automate first? #AI #MachineLearning #DecisionIntelligence #EnterpriseAI #DataAnalytics #Automation

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Cover image for AI Legal Case Analysis — Expert Evidence Prediction This pro...

AI Legal Case Analysis — Expert Evidence Prediction This project demonstrates an AI tool that analyzes legal cases and predicts how a judge may view expert testimony. Using structured case data and LLM reasoning, the system compares past rulings involving Dr. Bailey with a new case scenario. By parsing the actual judgment text: “I accept Dr Bailey’s evidence…” The model evaluates patterns in credibility, cross-examination outcomes, and judicial language. It then generates a predicted ruling, concluding that the judge would likely consider Dr. Bailey’s expert evidence credible again. This showcases: Smart case-to-case comparison Expert-evidence credibility scoring LLM legal reasoning Structured JSON analysis #LegalTech #AIforLaw #CaseAnalysis #LLMReasoning #ContraPortfolio

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Cover image for Full Stack Approach

Full Stack Approach

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Cover image for AI & Full-Stack Developer | LLMs, Machine Learning

AI & Full-Stack Developer | LLMs, Machine Learning

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AI Agent Engineer(5)

Madison Andrews

maxHouston, USA

Knowledge systems. Brand governance. Agentic workflows.

New to Contra

Knowledge systems. Brand governance. Agentic workflows.

Cover image for A complex behavioral healthcare organization

A complex behavioral healthcare organization needed a way to produce high-volume marketing content — eBlasts, social posts, blog drafts — without sacrificing clinical accuracy or brand consistency. Manual processes were slow, and the risk of off-brand or non-compliant content was constant. I designed and deployed an AI-powered content assistant that queries the organization's Notion knowledge base before every response. The system enforces brand voice, messaging guardrails, and compliance standards automatically — so the marketing team gets governed first drafts, not generic AI output. The tool handles content generation, content review, and brand training. It's now being expanded to include SEO/AEO-driven content calendar automation. Results: - 4–12 hours/month saved on content creation - Reduced risk of costly reprints and off-brand messaging - Marketing team trained and using the tool independently My role: Discovery, system architecture, Notion database design, prompt engineering, integration, documentation, and team training.

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Cover image for A system design for an

A system design for an AI agent that monitors LinkedIn for engagement opportunities — industry news, thought leadership posts, relevant conversations — and drafts comments and reshares for human review before posting. The architecture includes: topic and account monitoring criteria, daily scan logic, draft generation with brand voice alignment, a review queue delivered via email or Slack, and approval workflows that ensure nothing posts without human sign-off. Designed for marketing teams and executives who want consistent LinkedIn visibility without the daily time investment. Phase 2 extends the system to personalized recommendations for individual employees. My role: System design, workflow architecture, and productization.

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Cover image for The system prompt that governs

The system prompt that governs an AI content assistant's behavior — ensuring it searches before responding, follows brand voice, respects compliance guardrails, and never hallucinates clinical details. This isn't a simple instruction set. It's a layered governance framework covering: data usage rules, response routing logic, format fidelity, voice and tone calibration, compliance guardrails, and fallback behavior when data is missing. The prompt was refined through iterative testing with the marketing team, balancing strictness (no invented claims) with usability (natural, helpful outputs). The result: an AI that behaves like a knowledgeable teammate, not a generic chatbot. My role: Prompt architecture, iterative testing, and documentation for long-term maintenance.

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Cover image for A structured Notion workspace that

A structured Notion workspace that serves as the single source of truth for a complex behavioral healthcare organization's marketing team. The system includes interconnected databases for programs, facilities, approved messaging, and content examples — each with properties designed for AI retrieval. When the AI content assistant needs to generate or review content, it queries this knowledge base first, ensuring every output aligns with brand standards and clinical accuracy. Architecture decisions included: relational linking between programs and approved messaging, searchable aliases for program name variations, messaging guardrails stored at the program level, and a content library tagged by format, audience, and goal. My role: Discovery, information architecture, database design, governance logic, and documentation.

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AI Agent Engineer(3)

Al Kaizar Sappayani

AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)

New to Contra

AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)

Cover image for AI - powered insurance Agent Problem: Prior auth was manual—...

AI - powered insurance Agent Problem: Prior auth was manual—staff reviewed patient docs to predict approvals, making the process slow and resource-heavy. Solution: Built a HIPAA-compliant AI auth system: extract clinical data (OCR + clinical NLP), form a structured EHR-like record, evaluate insurer rules, and generate approval suggestions; added voice input workflows via STT/TTS plus secure storage and audit logging. Metrics: Reduced turnaround time and improved SLA adherence (similar projects reached ~98%). Result: Automated major parts of auth decisioning while staying compliant and auditable. Skills: AI Speech-to-Text AI Agent Development AI Builder AI Audio Generation AI Security

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Cover image for Marketing Assistant Bot
As part of

Marketing Assistant Bot As part of my work in AI-driven automation, I built a Marketing Assistant Bot using Relevance AI to address a major challenge in customer engagement: inefficient lead handling and inconsistent follow-ups. Businesses often struggle with manually qualifying leads, responding to competitor comparisons, and guiding potential customers through the sales funnel. The lack of automation resulted in lost opportunities, delayed responses, and high drop-off rates. To solve this, I developed an assistant on Relevance AI

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Cover image for AI Sales Agent Problem: Customers needed fast, accurate answ...

AI Sales Agent Problem: Customers needed fast, accurate answers on courses/licensing/policies from a huge, changing catalog; support handled repetitive questions and compliance is state-specific. Solution: Built RUBI, an embedded RAG purchase advisor in using ETL + multimodal indexing and hybrid retrieval (metadata + vector + structured lookups) with cited, grounded answers, purchase flows, analytics, and tuning loops. Metrics: 695,042 conversations; 2.6 Qs/convo; feedback 6% up / 94% down; ~10s to first token, ~11s complete; KB >100k structured rows.

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Cover image for AI Generated Data Analysis Problem: Weekly call-center ops d...

AI Generated Data Analysis Problem: Weekly call-center ops data needed actionable synthesis; manual analysis was slow and inconsistent. Solution: Built an LLM data analysis agent: ingest call data, run NLP + aggregations, detect anomalies, and generate a weekly executive PDF with insights, metrics, and recommended actions Metrics Automated weekly PDF; similar setups cut analysis time ~90% and improved decision turnaround (one related client saw 17% revenue lift over 7 months) Tech: Python ETL, Pandas, NLP, GPT-4o, Airflow Result: Consistent reports that surface issues fast and drive quicker corrective action.

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AI Agent Engineer(1)

AI Chatbots & Voice Agents for Technical Companies

AI Chatbots & Voice Agents for Technical Companies

Cover image for 1-Click IG Post Streamlit App Development

1-Click IG Post Streamlit App Development

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Cover image for Voiceflow Apartment Agent Chatbot

Voiceflow Apartment Agent Chatbot

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Cover image for Custom Copilot Creation

Custom Copilot Creation

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Cover image for Custom GPT Implementation

Custom GPT Implementation

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AI Agent Engineer(1)

Preston Cardwell

CPA & Financial Consultant | Expert in Automations

CPA & Financial Consultant | Expert in Automations

Cover image for Automated Cold Outreach

Automated Cold Outreach

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Cover image for Billing Automation

Billing Automation

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Cover image for Website CRM & Lead Gen

Website CRM & Lead Gen

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Cover image for Custom CRM & Automations

Custom CRM & Automations

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AI Agent Engineer(10)