Open to opportunities

Kenneth Bulaon

@kennethbulaon

Message

Product-minded software engineer building deterministic AI and scalable end-to-end systems from 0 to production.

Philippines

Message

What I'm looking for

I’m looking to own 0→1 end-to-end AI and backend systems—turning ambiguous problems into deterministic, debuggable production-grade products with measurable impact, where real reliability and practical iteration matter.

I’m a product-minded Software Engineer (AI Systems & Fullstack) who turns ambiguous problems into production-grade systems. I enjoy owning 0→1 builds—delivering scalable backend and distributed systems that hold up under real-world load, with a pragmatic AI approach that prioritizes determinism, debuggability, and measurable impact over hype.

As a Founder of APADCode, I built a B2B AI-driven interview platform where agents conduct live-coding interviews to evaluate how candidates think, not just what they output. I architected a low-latency voice agent for full-length interviews with streaming audio (LiveKit, ElevenLabs), long-running structured context management (Redis + MongoDB), secure deterministic code execution (Docker sandboxes), and a cognitive evaluation layer that produces structured behavioral data for candidate assessment.

My background spans big tech and fast-moving startups across CRM platforms, regulated legal systems, and real-time conversational products. I’ve defined 0→1 AI system architecture for legal operations (RAG, LLM orchestration, multimodal document parsing with OCR/layout-aware pipelines) and scaled production CRM workflows to 1M+ monthly customer interactions, plus built backend systems for Google’s Contact Center AI that translate conversational signals into deterministic real-time actions with low-latency Agent Assist.

Experience

Work history, roles, and key accomplishments

Current

Founder

Current

APADCode

Sep 2025 - Present (10 months)

Founder of a B2B AI-driven interview platform where agents conduct live-coding interviews to evaluate candidates’ reasoning. Built an AI voice agent and secure Docker-based code execution, plus an evaluation pipeline with feature extraction stored in MongoDB and Qdrant.

LiveKit ElevenLabs Docker Sandboxed Code Execution Redis MongoDB Qdrant Python Go OpenAPI REST APIs RBAC WorkOS Feature Extraction LangGraph Celery

Founding Software Engineer

Practice AI

Aug 2023 - Nov 2025 (2 years 3 months)

Founding software engineer at an AI-powered legal operations platform automating client intake, document analysis, and case workflows for law firms. Defined 0→1 RAG and LLM orchestration, built multi-modal document parsing with OCR/layout tools, and delivered compliance-focused pipelines and attorney-facing dashboards.

Senior Software Engineer

DASTechnology

Apr 2021 - Aug 2023 (2 years 4 months)

Senior full-stack engineer for the Response Path CRM used by automotive dealerships to manage leads, automate messaging, and analyze engagement. Scaled distributed backend services and unified platform workflows, built end-to-end lead response pipelines, and delivered real-time analytics with production reliability and CI/CD improvements.

Python Go React TypeScript PostgreSQL Kafka RabbitMQ GraphQL REST APIs Redis Real Time Analytics AWS GitHub Actions Terraform ArgoCD

Software Engineer

Google

Jun 2018 - Apr 2021 (2 years 10 months)

Software engineer on Google’s Contact Center AI (CCAI) systems, building backend services that converted conversational AI signals into real-time production workflows. Developed Go/Java services for Dialogflow-driven actions, built Agent Assist live recommendation pipelines, and improved reliability and observability using GCP, Kubernetes, Redis, and distributed tracing.