full stack developer

**** – Present

****

Darryl Wong

+** **** **** ******.***.****@*******.*** linkedin.com/in/darrylwongqz Singapore Professional Summary

Full Stack Engineer who lives at the intersection of scalable web applications and production AI. I've spent the last few years not just building APIs and React frontends, but actually shipping ML models into real-world production environments—moving beyond notebooks to deploy systems that handle millions of requests. I bridge the gap between what data scientists build and what engineering teams can actually maintain. Core Competencies

Python, React, Node.js, TypeScript, AWS (SageMaker, Lambda, EC2), Docker, Kubernetes, PostgreSQL, MongoDB, LangChain, PyTorch, TensorFlow, CI/CD, REST APIs, GraphQL, Microservices Professional Experience

Member of Technical Staff, Applied AI Engineering

Tomoro Singapore

Designed and deployed a multi-agent RAG system using LangChain and AWS SageMaker that cut document retrieval latency from 1,200ms to 340ms while supporting 5,000+ concurrent users. Rebuilt the model inference pipeline to use Kubernetes auto-scaling, dropping monthly AWS spend by 32%. Led the migration of our monolithic Node.js backend to event-driven microservices, processing over 2.3 million daily inference requests through AWS Lambda and SQS. Built an internal evaluation framework that automated A/B testing for new model versions, reducing validation time from 2 weeks to 3 days.

Implemented a hybrid search architecture combining PostgreSQL vector embeddings with MongoDB, improving semantic search relevance scores by 27%. Shipped 14 production-grade ML models integrating PyTorch and TensorFlow workflows into the main codebase.

Software Engineer

Alta Singapore

Architected a real-time deal recommendation engine using collaborative filtering on 40,000+ user interactions, boosting engagement with recommended deals by 43%. Refactored the React frontend to functional hooks with TypeScript, cutting initial load time from 3.2s to 1.1s. Built a document processing pipeline with AWS Textract and custom NLP models that cut manual data entry from 15 minutes to under 90 seconds.

Set up CI/CD with Docker and GitHub Actions, reducing release-related incidents by 68%. Introduced GraphQL federation to unify 3 separate backend services, reducing API round trips from 6 to 1. Partnered with product to redesign user onboarding with A/B tests, increasing completed registrations by 19%.

2022 – 2025

New York, NY

Singapore

Singapore

Lead Instructor, Software Engineering Immersive

General Assembly Singapore

Led a 12-week immersive program for cohorts of up to 35 students, achieving a 94% job placement rate within 6 months across three cohorts.

Redesigned the final project showcase from solo to team-based builds, increasing production deployments from 30% to 78%.

Authored 40+ technical workshops covering RESTful API design to deploying ML models with Docker, materials still used in GA's global curriculum.

Built and maintained 8 live demo applications used in lectures, including a real-time chat app and collaborative filtering recommendation engine.

Mentored over 250 engineers entering the industry through weekly code reviews and pair programming sessions.

Piloted an AI-focused elective on LangChain and prompt engineering that was folded into the core curriculum within two quarters.

Education

New York University - Leonard N. Stern School of Business Anderson Junior College

General Assembly

Software Engineering Immersive - Full Stack Web Development Technical Skills

Frontend: React.js, TypeScript, JavaScript (ES6+), Redux, Next.js, Tailwind CSS, Material-UI Backend: Node.js, Python (FastAPI, Django), Go, GraphQL, REST APIs, WebSockets, Microservices AI & Machine Learning: PyTorch, TensorFlow, LangChain, OpenAI APIs, Vector Search (Pinecone), Embeddings, scikit-learn, Pandas, NumPy

Databases: PostgreSQL, MongoDB, Redis, DynamoDB; query optimization, sharding, replication DevOps & Cloud: AWS (SageMaker, Lambda, EC2, EKS, S3, RDS), Docker, Kubernetes, Helm, Terraform, CI/CD (GitHub Actions, ArgoCD)

Tools & Practices: Git, Linux, Agile/Scrum, TDD, OpenAPI/Swagger, Postman, Prometheus, Grafana

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