À propos de Kael
About Kael
Kael is a full-stack engineer who's hooked on AI and building apps that people actually want to use. He's spent years deep in the backend, basically Python and Node.js backend - messing with NLP, plugging in LLMs, wrangling APIs and shipping both web and mobile apps. He likes making stuff that runs fast, cuts out the boring parts and just feels good for the user.
He's led teams that got results - less wasted time, smoother workflows, and a better experience for everyone. Whether He's building AI dashboards or blending predictive models with natural language tools, He loves hitting that point where the tech isn't just flashy, it really makes a difference for the business.
Tech's always changing and He's always curious. He likes tough challenges, breaking them down, and finding solutions that last and actually scale. In the end, He just wants to build things that matter.
Anglais
Bilingue ou natif
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- MoveworksSenior Software EngineerRÉSEAUX SOCIAUXdécembre 2021 - mai 2024 (2 ans et 5 mois)Mountain View, États-Unis◆ Led a cross-functional team of 10 engineers and product managers to build a LangChain-based application that streamlined LLM integration into Salesforce workflows, reducing processing time by 40% and increasing user adoption by 50% in the first three months.◆ Applied fine-tuning and embedding techniques to tailor NLP models for business-specific use cases, improving model accuracy by 20% and reducing processing time by 35%.◆ Built a dynamic social media web application using React.js, Redux, and Tailwind CSS, delivering a smooth user experience that increased user retention by 40% and daily active users by 25% within six months.◆ Integrated Firebase for real-time database updates, improving project visibility and team collaboration, shortening project timelines by 50%, and increasing productivity by 30%.◆ Developed a cross-platform social media mobile app using React Native and Expo, reducing development time by 40% and increasing user downloads by 50% within three months.◆ Integrated Apollo Client with GraphQL into the React.js frontend, improving data-fetching efficiency by 30%.◆ Used Agile methodologies and Scrum practices to strengthen project execution and delivery.
- UberSenior Software EngineerEDUCATION & E-LEARNINGmai 2019 - novembre 2021 (2 ans et 6 mois)San Francisco, États-Unis◆ Developed and maintained advanced NLP solutions using OpenAI models to analyze large-scale datasets for enterprise clients, improving data processing efficiency by 50% and enabling insights that increased decision-making speed and accuracy by 20%.◆ Built predictive models to interpret customer sentiment and preferences from unstructured data, strengthening customer experience analytics and business forecasting accuracy.◆ Designed and implemented automated NLP-driven content-generation pipelines that reduced manual content creation time by 40% while preserving high-quality marketing output.◆ Used Fusion.js to architect and maintain a monorepo-based web application, ensuring strong scalability and consistent development workflows across teams.◆ Implemented Redux for dependable global state management, improving data flow consistency and reducing debugging time across complex UI interactions.◆ Optimized application performance through best practices such as lazy loading, memoization, and efficient rendering techniques, achieving a 50% improvement in load times and a 30% increase in overall responsiveness.◆ Led comprehensive testing efforts, including unit, integration, and end-to-end tests, reaching 95% test coverage, reducing production issues by 40%, and significantly improving system stability.
- Millennials DigitalFull Stack EngineerRÉSEAUX SOCIAUXaoût 2017 - mars 2019 (1 an et 7 mois)Torrance, États-Unis◆ Implemented AI-driven features that improved analytics across business applications, including data visualization tools and interactive dashboards, resulting in higher user engagement and faster report generation.◆ Designed and developed a consumer dashboard and a custom loan-origination system using React, Next.js, and Redux to ensure scalability, maintainability, and consistent performance.◆ Applied effective state management and component design to support long-term growth and reduce technical debt.◆ Used Jest and Enzyme to build comprehensive unit test coverage, strengthening code reliability and system stability.◆ Collaborated with UI/UX designers to refine user flows based on research and usability testing, increasing user satisfaction and reducing drop-off rates in key workflows.◆ Integrated Google Tag Manager and FullStory to support full-funnel analytics, conversion tracking, and detailed user-event monitoring.◆ Built a reliable CI/CD pipeline using Jenkins, GitHub Actions, and Travis CI to automate testing and deployment and improve development efficiency.
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Formations
- Bachelor of Science in Computer ScienceCalifornia State University, Northridge (CSUN)2016I finished an intense computer science program where I dove deep into software engineering, system design, and applied machine learning. Along the way, I built several full-stack projects, worked closely with teams, and picked up hands-on experience with algorithms, data structures, databases, and cloud tech.