◦ Designed fully integrated machine learning delivery pipeline using KServe, Cloud Build, and Google’s Vertex AI to automate deployment of pre-trained models in a scalable serverless architecture.

◦ Engineered novel micro-service with TypeScript, RabbitMQ, and PostgreSQL to consume and integrate in-house learning models for tasks such as sentiment analysis-driven triggers on platform’s chat services.

◦ Enhanced chatbot engine by processing user responses with clinical learning models and consolidating with internal services, through RESTful APIs, to provide interface for self-served triage experiences.

◦ Produced groundwork for bot integration framework with Flask and Dialogflow CX to deploy custom conversational agents into messaging platform in a seamless manner.

◦ Refactored Python Flask server into multi-thread worker system, harnessing RabbitMQ to improve the service’s concurrency performance.

◦ Formulated architecture and relational database schemas in MSSQL to automate back-office processing of flight bookings through RPA systems.

◦ Led technical conversations in client-facing opportunities & managed team development efforts on three projects.

◦ Founded entire backend systems with Node to automate business’ internal processes through chatbot interfaces.

◦ Devised backend architecture and APIs to communicate with legacy system through a customized TLS socket.

◦ Drove development of R&D initiatives for card-processing platform, including geolocation services and data cleans- ing for learning algorithms, resulting in full-blown key product features.

◦ Implemented benchmarking module and improved latency of backend processes by identifying unoptimized time complexities in logic and inefficient MySQL database queries.

◦ Oversaw backend development of innovative SAAS platform feature and corresponding test suite through Agile methodologies, producing a reliable fast-paced development cycle.