Erese Ricky Jay

About

Senior Full-Stack & AI Engineer with 10 years of experience building scalable web, mobile, and AI-driven applications. Extensive hands-on background integrating AI/ML (including RAG, LLM-based summarization, semantic search, structured extraction, and workflow automation) into production SaaS and enterprise solutions, with full-stack delivery across modern frontend frameworks, backend microservices, and cloud-native deployments.

Experience

• Senior Software Engineer · TELUS Digital04-01-2023 – 05-01-2026

  • Translated business requirements into scalable AI solutions and technical specifications • Built full-stack AI-powered content automation features for enterprise client applications used by marketing and customer experience teams. • Contributed to retrieval-assisted features using OpenAI, Azure OpenAI, Azure AI Search, prompt engineering, stored content examples, keyword data, and social trend signals. • Designed AI/ML-powered microservices supporting recommendation systems, predictive analytics, and intelligent decision-making for enterprise clients. • Integrated LLM-based systems with CRM and backend tools via APIs • Deployed real-time analytics dashboards using Python, Snowflake, and Kafka to monitor customer engagement, AI performance metrics, and operational insights. • Leveraged LangChain and LangGraph for sophisticated logic orchestration, integrated with GCP (Google Cloud Platform) for robust queue management and infrastructure scaling. • Integrated AI/ML inference pipelines into production systems, improving predictive accuracy and recommendation relevance. • Collaborated with cross-functional teams to design scalable, cloud-native, and AI-integrated solutions, enhancing product reliability and user engagement.

• Senior AI Engineer · Ash by Slingshot AI10-01-2019 – 03-01-2023

  • Developed MERN-based AI applications integrating LLM inference, semantic search, and conversational workflows. • Built Python microservices exposing LLM-powered APIs using FastAPI and LangChain. • Implemented AI-driven automation pipelines for web scraping competitor networks and extracting actionable insights from real-time content metrics. • Designed interactive React dashboards to visualize AI system performance, scraped data, and user activity. • Deployed and managed AI/ML services on AWS and GCP using Docker, Kubernetes, and serverless architecture, ensuring scalability and high availability. • Built real-time data pipelines using Kafka, Redis Streams, and Python, enabling low-latency analytics and ML inference. • Integrated cloud-native AI solutions with AWS Lambda, S3, ECS, and GCP Cloud Functions for elastic computing and storage. • Optimized AI model performance through hyperparameter tuning, feature engineering, and model retraining in production pipelines. • Collaborated with cross-functional teams to deliver full-stack AI solutions, combining predictive modeling, real-time analytics, and responsive frontend dashboards.

• Senior Software Engineer · Aspire Fundrasing04-01-2017 – 09-01-2019

  • Developed Java Spring Boot backend services powering the core rewards, membership, and giveaway systems, enabling seamless prize distribution. • Created AI-driven automation features for giveaway selection, odds calculation, and personalized reward offers, increasing user participation. • Migrated legacy REST APIs to modern gRPC services, improving data throughput and supporting real-time sports betting operations. • Developed MERN microservices integrating TensorFlow, OpenCV, and machine learning models for image classification, object detection, content extraction, recommendation systems, and predictive analytics. • Developed React Native mobile applications and dashboards, including real-time notifications, to boost user engagement and retention. • Integrated third-party platforms, including Shopify apps and payment gateways, enhancing e-commerce and promotional functionalities. • Managed cloud infrastructure using AWS services (S3, EC2, RDS, CloudFront, Lambda) to deliver high availability and low-latency operations.

• Software Engineer · Ducan Solutions01-01-2016 – 02-01-2017

  • Developed scalable web and mobile applications using MERN Stack and Java Spring Boot. • Built REST APIs and microservices for enterprise applications. • Developed responsive UI features and real-time notifications. • Deployed applications on AWS and supported CI/CD pipelines. • Developed Computer Vision (CV) solutions for image processing, object detection, and OCR. • Built scalable front-end applications with React.js, and modern component-based architecture.

Education

• The Hong Kong University of Science and TechnologyMaster’s Degree, Artificial Intelligence
• The Hong Kong University of Science and TechnologyBachelor of Science, Computer Science

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