Dan Chavez
AI Engineer
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Hello
- Full Stack & AI Engineer with 5+ years of experience building production-grade AI systems, voice AI platforms, and scalable web applications.
- Skilled in React, Next.js, Node.js, TypeScript, Python, and PHP; shipping full-stack, AI-powered products serving thousands of users across multiple countries.
- Passionate about architecting multi-agent AI systems and robust full-stack applications that solve real operational problems at scale.
- Full Stack & AI Engineer at Tolstoy: AI communication system for interactive video platform
- Serving 10,000+ businesses with sub-3s response times
- Scaled serverless infrastructure 3x (30k→90k monthly requests) at 99.9% uptime
- Senior Full Stack Developer at Aeva AI Receptionist: AI-powered phone receptionist for healthcare clinics
- Spearheading end-to-end platform development with the CTO, broadening market reach ~40% by integrating new practice management systems
- Eliminated 100% of missed-notification issues and cut incident resolution 60% by re-architecting core agents from Make.com to Node.js
- Founding Engineer at Framework: solo-built AI responder and task manager from zero to production
- 92% response accuracy using RAG architecture
- Cut infrastructure spend 40% and reduced API timeout errors 85% with circuit-breaker retry logic
- AI Specialist at GoTeam: multi-agent AI automation platform for U.S. client teams
- Reduced operational load 70% with n8n orchestration and intelligent task routing
- Benchmarked LLMs for 40% cost savings while cutting research time 80%
- Active in the developer community as a technical volunteer at AWS Community Day, GDG Cebu, and Pandesal.dev
- Founding member of DEVS100, a curated private network of top developers
- Graduated Magna Cum Laude (1.44 GPA), B.S. in Computer Science — University of Southern Philippines Foundation
* Metrics based on production data during tenure; actual current figures may vary.
Trusted by clients
I have worked with many website developers and my experience with this team has been the best. They redesigned our website from scratch in one week!
Client · Lyons Global
great service delivered as promised, Highliy recommend. Professional work done by him
Client · Upwork
We've been really happy with your performance at the company and would love to keep you on board for the long term.
Co-Founder & CTO · Aeva
Blog(2)
The long way to magna cum laudeNew
- Published on
Welcome to dnachavez.dev
- Published on
Stack
Languages
Frameworks & Libraries
Automation
Cloud & DevOps
Design & Tools
Gear(10)
The hardware and tools I use to build, create and stay productive — my desk configuration, daily carry.
Computers
Displays
Desk & peripherals
Experience(9)
Aeva AI Receptionist
- Location
- Auckland, New Zealand
- Location type
- (Remote)
- Employment status
- Current
- Spearheading full-stack development of Aeva, an AI-powered phone receptionist serving ~500 clinics and processing 100+ calls daily, built with React and Node.js on Heroku for 24/7 automated appointment booking, rescheduling, caller identification, and cancellations across Australia, New Zealand, the UK, Ireland, and Canada.
- Architected the voice AI integration layer connecting Vapi with custom voice models, conversation flows, real-time transcription, and squad-based assistant routing, Cliniko for practice management, and Twilio for telephony across 5 country-specific configurations with carrier-level routing and failover.
- Led migration of backend services and AI agents from Make.com to code, eliminating widespread missed-notification issues and reducing incident resolution time by 60%.
- Driving integration of additional practice management systems (Splose, Halaxy, Jane App) to broaden platform compatibility across allied health clinics.
- React
- Node.js
- Heroku
- Vapi
- Twilio
- Cliniko
- Voice AI
- Real-time Transcription
GoTeam
- Location
- Virginia Beach, VA
- Location type
- (Remote)
- Led design and rollout of a multi-agent AI automation platform for Fox Three Partners across research, analysis, and project management workflows, reducing operational load by 70% for cross-functional U.S. client teams.
- Architected an n8n-based orchestration engine with intelligent task routing using a hybrid event-driven and scheduled approach, eliminating 100% of manual triage.
- Benchmarked OpenAI o4-mini against o3-deep-research for research agents, cutting research time by 80% while identifying 40% cost savings.
- Engineered a financial analysis agent that applies custom validation logic to operational data and returns flexible JSON, cutting parsing failures by 85%.
- Built a comment-triggered automation system with NLP-based intent classification, saving 15+ hours weekly in manual task administration at 95% accuracy.
- Shipped memory-aware document generation agents backed by curated knowledge banks, reducing document turnaround by 90%.
- Wired Zapier-driven synchronization between project management platforms and external databases, improving cross-system data consistency by 95%.
- Architected Next.js conversational agents with Supabase backends on Vercel Edge Functions, doubling content output while maintaining sub-100ms response times.
- Automated two-way calendar sync with Power Automate, eliminating manual calendar duplication and reducing scheduling conflicts by 80%.
- n8n
- OpenAI
- Next.js
- Supabase
- Vercel
- Zapier
- Power Automate
- Prompt Engineering
Framework
- Location
- Cebu City, Philippines
- Location type
- (Remote)
- Owned end-to-end design and solo development of an AI responder system, choosing retrieval-augmented generation (RAG) over fine-tuning to reach 92% response accuracy while cutting implementation time by 60%.
- Architected an AI Task Manager from zero to production with an event-driven architecture, enabling real-time orchestration that reduced customer response cycles by 50%.
- Designed serverless infrastructure on AWS Lambda with concurrency limits and dead-letter queues, maintaining 99.9% uptime while cutting infrastructure spend by 40%.
- Implemented circuit breaker and exponential backoff patterns to prevent cascade failures, reducing API timeout errors by 85%.
- Set technical direction independently as the sole engineer, defining the design patterns, API contracts, and error-handling conventions that later anchored team scaling.
- RAG
- AWS Lambda
- Serverless
- Event-Driven Architecture
- AI
Education
- Graduated Magna Cum Laude with a 1.44 GPA, earning a Bachelor of Science in Computer Science degree.
- Ranked the top graduate of the college among the graduating class, the highest academic standing in the department.
- Earned Dean's List honors in every semester of the program, from enrollment through graduation.
- Authored an undergraduate thesis, "Design and Implementation of a Cloud-Native Artificial Intelligence (AI) Call Center using Amazon Web Services and OpenAI," realized as Conduit — an autonomous voice agent that automates end-to-end call handling on fully serverless AWS infrastructure.
- Shipped 8+ notable projects spanning AI, IoT, and developer tooling:
- Conduit — cloud-native AI call center on AWS and OpenAI (thesis project).
- AuggieGPT, Buddy, and SentiAI — conversational and sentiment-driven AI assistants.
- USPF IoT Parking System — real-time smart-parking platform bridging hardware and cloud.
- CERTIfy, TESTIfy, and SWARMIfy — automation and developer-productivity tooling.
- AWS
- OpenAI
- Cloud-Native Architecture
- Serverless
- AI Agents
- IoT
- Distributed Systems
- Computer Science
- Completed Senior High School under the Science, Technology, Engineering, and Mathematics (STEM) strand.
- Designed and built TrackTrace, a COVID-19 contact-tracing application, earning 3rd Place at the TCS Digital Innovation goIT App Development competition.
- App Development
- Mobile Development
- STEM
- Prototyping
Projects(9)
Built an AI agent simulation panel with a game-like top-down view where agents appear as animated characters moving through a living mini-community.
- Open Source
- TypeScript
- React
- AI Agents
- Simulation
- Docker
Built an AI-powered tool that generates creative, professional titles for academic papers, dissertations, theses, and research documents, powered by Google's Gemini 2.0 Flash.
- Next.js
- TypeScript
- Google Gemini
- Tailwind CSS
Engineered an AI exam proctoring system with facial and behavioral analysis, integrated with Canvas LMS.
- AI
- Computer Vision
- Facial Recognition
- Canvas LMS
- Python
Built a sentiment analysis tool that classifies text into positive, negative, or neutral categories using a fine-tuned TinyBERT model.
- University Project
- Machine Learning
- Python
- TinyBERT
- Transformers
- PyTorch
Awards(6)
- Built SWARMify, an AI simulation panel with a game-like top-down view that renders agents as animated characters in a mini-community
- Developed with React, Node.js, OpenClaw, and Canvas 2D
- Built TESTify, an AI-powered exam proctoring system that closes Canvas LMS security gaps in remote testing
- Engineered a real-time facial recognition and behavioral analysis pipeline with hybrid cloud/edge processing
- Additional awards: Best Innovative Solution
- Built CERTify, an academic credential verification system with integrated AI
- Designed blockchain-inspired document hashing paired with AI-driven fraud detection
- Additional awards: Most Promising Innovation, Best-in-Logo
- Led a team of three senior high school students to build TrackTrace, a COVID-19 contact tracing app
- Guided the team through system design fundamentals and coordinated cross-functional implementation
Certifications(2)
TOPCIT Level 4 (Test of Practical Competency in ICT)
- Issued by
- IITP/Ministry of Science and ICT (Korea)
- Issued on
Google Data Analytics Professional Certificate
- Issued by
- Issued on