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Hi there!

I'm Aniket- a software engineer with three years of experience in the MERN stack, I'm dedicated to building products that make a positive impact in people's lives. I'm passionate about problem-solving, and I love using my skills to create innovative solutions that solve complex challenges. My portfolio showcases my ability to create high-quality work that prioritizes user experience, and I'm constantly striving to improve my skills and expand my knowledge. Whether working independently or as part of a team, I'm committed to delivering meaningful solutions that meet the needs of the end-user. I believe that technology has the power to transform lives, and I'm excited to be a part of the process by building products that help people in their day-to-day lives.

Recent blogs

Read all blogs
How Rocketium does in-browser editing of 10,000 images or videos
#React #Redux #Javascript
Clean architecture with Node.js
#Node.js #TypeScript
Bypassing AWS API gateway timeout
#AWS #Serverless #Javascript

Work experience

Velotio (July 2023 - present)
  • Developed an AI-powered image editor using (React + TypeScript and Micro Frontend) to enable users to input prompts, generating AI-enhanced images tailored for impactful advertisements on platforms like Facebook and Instagram.
  • Executed an intuitive UX strategy resulting in a seamless process for users to establish brand guidelines and generate advertisements.
  • Integrated Auth0 seamlessly with the platform for enhanced authentication while implementing Auth0 actions to intercept data flowing to Auth0 for optimized functionality.
  • Optimized user onboarding with one-click simplicity and integrated NATS and gRPC for seamless asynchronous communication between Go and NestJS microservices.
  • Developed an AI-powered analytics dashboard for analyzing image features and showing analytics to users based on that.
  • Identified performance gaps and improved API caching and response time by adding React query.
Yellow.ai (Dec 2021 - Jun 2023)
  • Engineered a user identification flow in (React/Redux), leveraging Reactflow for a seamless user identification journey, automating the process and enhancing efficiency.
  • Enhanced the front end of the Bot Builder, contributing to a 30% increase in user adoption.
  • Collaborated closely with a team of 2 designers to enhance the overall quality of the chat builder platform. Identified gaps between the user experience (UX) and functionalities, such as implementing fullscreen mode functionality in (React+TypeScript), resulting in improved UX for the builder.
  • Designed and implemented all marketplace modules, introducing bot import and export functionalities, resulting in a remarkable 40% reduction in creation time.
  • Identified and resolved CSS bundle size issues, reducing it from ~600kb to ~85kb by eliminating redundant less files and introducing Tailwind.
  • Led the PLG initiative for the Bot Builder, Marketplace, and Integrations module, addressing and resolving over 50 bugs within a swift three-week period.
Rocketium (Mar 2020 - Dec 2021)
  • Built a Bulk Image Edit feature with (React/Redux + TypeScript), allowing users to simultaneously edit 10,000+ images in the browser, resulting in approximately 50% time-saving.
  • Architected a custom font family upload feature in TypeScript+Node.js, enabling users to define their custom font family definitions aligned with their brands. This enhancement resulted in improved brand representation through custom fonts in creatives.
  • Developed critical platform modules—campaign, authentication, template library, and media library—utilizing (React/Redux + JavaScript), ensuring seamless functionality and user experience.
  • Led the TypeScript integration initiative, resulting in a notable 7% reduction in platform crashes caused by null exceptions.
  • Executed SVG upload functionality in (React/Redux), empowering users to upload high-quality SVG images for their creatives. This initiative resulted in a 50% improvement in creatives, with smaller file sizes optimized for web and mobile applications.
  • Architected an image processing module using AWS serverless Lambda and WebSockets, implementing batching for optimization, resulting in a 40% reduction in campaign turnaround time.

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