Ralph Escoto
Full Stack AI Engineer | AI Engineer
EDUCATION:
PROFILE:
B.S. in Computer Science
Senior Full Stack AI Engineer with 7+ years building production systems
end-to-end, from React/TypeScript frontends and FastAPI backends to
LLM-powered features, RAG pipelines, and AI-integrated workflow
automation. I don't just "add AI" to apps; I architect how AI sits in the system:
which model handles what, how prompts stay reliable at scale, where
automation replaces manual work, and how all of it holds up in production.
Whether the stack uses Claude API, OpenAI, voice AI, or multi-agent
orchestration, I've built it and shipped it to real users.
University of Toronto
Toronto, Ontario, Canada
Sep 2014 - June 2018
Availability
Remote
Full Time | Part Time | Contract
Open to TIme Zones
Core Value Proposition: Deliver production-ready, scalable web
applications through clean architecture, API Design excellence, and
Fluent English
comprehensive full stack expertise from database to UI
CORE
COMPETENCIES:
PROFESSIONAL EXPERIENCE:
AI & LLM
Frequency Digital | Bali, Indonesia (Remote) | April 2022 - Dec 2025
GPT-4o, Claude 3.5/4,
● Built full stack web applications with React/TypeScript frontends and
Anthropic API, OpenAI API,
FastAPI/Python backends, integrating GPT-4o and Claude 3.5 directly into
Prompt Engineering,
core product features — serving 50K+ monthly users at <500ms average
LangChain, AI Agents
latency
RAG & Vector DBs
● Designed and implemented RAG systems (Pinecone vector DB + semantic
Retrieval-Augmented
chunking) that improved AI response accuracy by 45%, replacing
Generation, Pinecone,
hallucination-prone vanilla LLM calls with grounded, document-aware
Weaviate, Qdrant, FAISS,
responses
ChromaDB, Semantic
● Architected n8n-first automation layer connecting AI agents, CRMs, and
Chunking, Hybrid Search,
internal APIs through event-driven workflows — replaced tightly coupled
Embeddings
code and cut manual operations by 85%
Voice AI
● Built production voice AI systems (Retell AI, VAPI, Twilio) processing 1,000+
Retell AI, VAPI, Bland AI,
daily calls, with full pipeline: speech-to-text, intent classification, LLM
ElevenLabs, Twilio, Whisper
response, sentiment analysis, and CRM sync
STT, Conversational AI, IVR,
● Developed admin dashboards with real-time WebSocket data, RBAC, audit
Call Flow Design
logs, and live analytics for internal teams managing AI agent performance
Frontend
and conversion metrics
React, TypeScript, Tailwind
● Implemented ML inference infrastructure with FastAPI model serving, Redis
CSS, Vue.js, Next.js,
caching, and load balancing handling 10K+ daily API calls with A/B testing
WebSockets, SSE, Real-time UI,
framework
Responsive Design, RBAC
● Created reusable AI architecture templates adopted across 3 client
Dashboards
implementations — reduced onboarding and deployment time from 2 weeks
Backend
to 3 days
Python, FastAPI, Django, Flask,
● Team Collaboration: architectural decisions, code reviews, vendor
Node.js/Express, REST APIs,
evaluation, technical roadmap, and stakeholder communication
GraphQL, Microservices,
Async/Celery, Event-Driven
Senior Full Stack AI Engineer & Automation Architect
Database
PostgreSQL, MongoDB, Redis,
Supabase, SQLAlchemy, Query
Optimization, Caching
Strategies
Automation
n8n, Make, Zapier, Webhook
Architecture, ETL Pipelines,
CRM Integration (GHL,
HubSpot, Salesforce), 15+ API
platforms
DevOps & AI Dev
Docker, Kubernetes, AWS,
CI/CD, GitHub Actions, Claude
Code, Cursor, Replit, Lovable,
MLflow, Ray Serve
Full Stack AI Engineer
Leads2Closings | Florida, US (Remote) | July 2019 - Feb 2022
● Built full stack SaaS applications with Django/FastAPI backend and React
frontend, including RAG pipeline for internal knowledge base (FAISS +
GPT-3.5) that cut support ticket resolution time by 40%
● Implemented recommendation engine (collaborative filtering + matrix
factorization via scikit-learn) improving user engagement by 25%
● Optimized PostgreSQL through strategic indexing + Redis caching layer,
reducing query latency by 70% and database load by 60%
● Designed A/B testing framework for ML model evaluation with statistical
significance testing and automated dashboards
● Integrated Stripe webhook automation handling $2M+ ARR in subscription
billing and payment processing
● Built internal admin dashboard with RBAC, audit logging, and custom
reporting serving 200+ internal users
Freelance Full Stack Developer
Upwork | Freelancer | Fiverr | Guru (Remote) | Aug 2018 - June 2019
● Completed 25+ client projects: REST APIs, data pipelines, backend systems,
and early ML automation for startups and solo founders using Flask,
PostgreSQL, and Celery
● Delivered recommendation engine prototype using scikit-learn and
collaborative filtering for e-commerce client; maintained 5-star ratings
across platforms
● Delivered recommendation engine prototype using scikit-learn and
collaborative filtering algorithms for e-commerce client
