Jake Elizondo

Jake Elizondo is a software engineer living and working in Cupertino, CA.

Offering 5+ years of experience in the software and tech sphere. Expertise spans from crafting scalable applications to mastering cross-platform nuances. With a passion for innovation and a relentless sense of curiosity, consistently delivers value-driven results.

Executive Value

  • Solid Foundation in Application Code: Spearheaded several pivotal projects, including automated conversational AI enhancements, scalable backend microservices, and FE application rewrites, resulting in optimized user experiences, scalable infrastructure, and increased revenue streams.

  • Full Stack Development: Led pivotal initiatives, including implementing full-stack LLM ML features for enhanced automated conversational understanding, launching IVR-SMS automation projects, designing front-end chat widgets and backend microservices, and successfully integrating complex third-party systems such as Salesforce Ecommerce, resulting in enhanced user experiences, streamlined operations, and significant revenue growth.

  • Proficient in JavaScript and Mid-tier Technologies: Led numerous initiatives, from pioneering full-stack LLM ML features for enhanced automated conversations to transforming MTM Digital Advertising's revenue, showcasing a blend of technical mastery and strategic business acumen across diverse projects.

  • System Design and Implementation: Spearheaded the design and development of robust backend systems, integrating both SQL and NoSQL technologies, to optimize and automate conversational user experiences, ensuring effective data retrieval and fault-tolerant solutions, exemplified by the successful launch of automation frameworks and microservices that seamlessly process thousands of interactions daily.

  • Experience with UI Frameworks and CI/CD: Led the development of multiple frontend user interfaces, including a deployable chat widget and ML-assisted response systems, integrated advanced data fetching libraries, led the migration from JavaScript to Typescript for enhanced developer experience, and streamlined integration with Salesforce Ecommerce through effective UI displays and asynchronous operations.

Recent Work

  • Automated Conversational AI Feature: Enhanced partner satisfaction, a higher resolution rate, and reduced dependency on older, less accurate intent detection systems. Diagnosed and addressed issues with handling freeform text responses in automated conversation channels. Increased user engagement in 63% of freeform text channels

  • IVR-SMS Automation Project: Successfully transitioned all phone volume to the new system, leading to increased revenue and a new product offering. Integrated the company's framework with an SMS channel to automate voice customer support for a significant partner.

  • Won the 2023 Simplr Generative AI Hackathon: By developing a solution using LLM technologies to automate troubleshooting queries for enterprise clients, the solution was endorsed for enterprise use, leading to operational time savings.

  • FE Chat Widget Application: Created a flagship product that manages thousands of conversations daily by engineering an FE chat widget application and backend support to shift from a human-backed customer support model to an automated one.

  • Backend Microservice for Operational Flows: Enhanced scalability and brought two significant partners to the platform, boosting revenues by establishing a backend microservice to manage automated interactions, replacing a non-scalable approach.

Always interested in building something challenging and cool! Shoot me an email or reach out to me on LinkedIn.

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