• Engineered key features across 10 microservices for Agent Assist, an AI-driven platform handling 3M monthly calls and delivering real-time transcription, summary, and customer insights
• Reduced guidance card latency from 15s to near-instantaneous through strategic Redis caching and performance optimizations
• Appointed the role of Service Owner for 1 backend service and 4 frontend applications, driving technical strategy, stability, and enhancement across platforms
• Onboarded and mentored junior and senior engineers and helped build a new team in Porto, Portugal
• Developed and implemented AI Knowledge real-time search feature that combines the power of LLMs and Retrieval Augmented Generation (RAG) technology to deliver contextual information to customers through virtual and live agent interactions
• Integrated Databricks with GenAI Studio, enabling seamless data access for the NLP team to conduct experiments, optimizing data processing workflows, and significantly enhancing performance metrics across analytics dashboards
• Managed a cross-functional team of 2 indirect reports to drive project success for the data tables initiative, overseeing feature development and story creation
• Collaborated closely with product, design, and QA to align technical implementation with business objectives, delivering high-quality features and streamlining the development lifecycle
Java | Spring Boot | RxJava | GCP | BigQuery | Redis | Elastic Search
React | Redux | JavaScript/TypeScript | PubNub | Databricks