Avaiya Laleet

As a consultant through Toptal, I have collaborated with over 10 startup and enterprise companies, delivering high-impact projects using React, Python, Java, SQL, and Redux. My work includes developing dynamic front-end applications, building robust back-end systems, and implementing effective state management solutions, consistently exceeding client expectations. My diverse industry experience and commitment to continuous learning enable me to provide tailored, cutting-edge solutions, driving significant improvements in user engagement, system performance, and scalability.

We're building the world's most powerful AI engine for intellectual property using Typescript, Python, React and PostgreSQL, GPT-3, GPT-4, serpapi. As a Full Stack Developer at Patented.ai, I played a pivotal role in several key projects. In the LLM Shield project, I initially served as a Backend Developer, where I crafted APIs from scratch using Python FastAPI with PostgreSQL and facilitated deployment using GitHub Actions on Google Cloud. I also integrated GitHub and OneDrive into the LLM Shield app. Subsequently, I contributed to the Invalidator project, providing support through Python scripting, introducing new features, and resolving bugs using React and Firebase functions, while overseeing project deployment on Firebase. In the Infringement project, I developed APIs from the ground up using Python FastAPI, created email templates, and harnessed technologies like Pusher, PostgreSQL, and Redis. My role expanded further as a Full Stack Developer on the Patented.ai Studio product, where I oversaw development using React (Typescript), Python (FastAPI), and PostgreSQL, along with utilising JavaScript, Notion, GitHub Actions, and Firebase Hosting, ultimately deploying the product on Google Cloud. Lastly, I also made substantial contributions to the core of the Patented.ai Studio, working on the backend and AI engine using Python and MongoDB. This journey has enriched my experience as a Full Stack Developer, enabling me to deliver robust solutions and tackle diverse challenges.

I spearheaded the redevelopment of MaxSold's buyer website from scratch, employing Next.js, TypeScript, Redux, Jotai, Google Auth, and Datadog, focusing on a user-centric approach. This initiative included implementing a geolocation feature for tailored auction listings, significantly enhancing user engagement. Additionally, I seamlessly integrated Google Auto Complete and Google Maps to optimize navigation and usability, ensuring an enhanced browsing experience. Executing comprehensive SEO enhancements and performance optimizations amplified the project's visibility and responsiveness. Upholding standard development processes, conducting PR reviews, and utilizing tools like Slack and Jira streamlined communication and workflow. Collaborating effectively with the team, we swiftly resolved production bugs, demonstrating strong problem-solving skills and teamwork. Moreover, I strategically implemented Server-Side Rendering (SSR) for improved SEO performance and enabled seamless social media sharing, especially on Facebook. Furthermore, I integrated the Converge payment gateway and incorporated Pusher for real-time updates.