Freelance AI Chatbot Developers in Houston
Freelance AI Chatbot Developers in Houston
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Al Kaizar Sappayani
Houston, USA
AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)
New to Contra
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AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)
2
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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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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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 - 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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AI Chatbot Developer
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Kokorick AI
Houston, USA
AI Agents | LLMs, Computer Vision & Full-Stack Dev
69
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AI Agents | LLMs, Computer Vision & Full-Stack Dev
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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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AI-Powered Code Editor for Modern Developers
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WorkMind AI: Unified AI Workplace Platform
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Aegis FaceGuard: AI-Powered Crime Prevention
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AI Chatbot Developer
(1)
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Anu Raghavan
Houston, USA
AI Chatbots & Voice Agents for Technical Companies
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AI Chatbots & Voice Agents for Technical Companies
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Voiceflow Apartment Agent Chatbot
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10
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Custom GPT Implementation
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1-Click IG Post Streamlit App Development
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Custom Copilot Creation
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AI Chatbot Developer
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