As a software engineer at Cybertiks, an AI Satellite Analysis Company, I have had the opportunity to wear many hats and tackle a variety of challenging roles. My primary focus has been on leveraging AI to revolutionize agricultural soil analysis using multispectral images. This technology helps detect crucial soil properties such as nutrients, texture, and carbon content, aiding farmers in optimizing their crop yields.

In my time at Cybertiks, I led the development of our Minimum Viable Product (MVP), managing a diverse team of developers to bring our vision to life. My work in AI involved using tools like PyTorch and Python to develop and refine models, incorporating OpenAI APIs and Langchain to enhance our analytical capabilities.

On the frontend, I created intuitive and responsive user interfaces using React, NextJS, and Tailwind CSS, ensuring seamless interactions with our REST APIs. My experience also extends to mobile development with React Native and Swift, making our tools accessible on various devices.

For the backend, I developed robust and scalable systems using Python and Django, supported by a suite of AWS services including Lambdas, EC2, API Gateway, S3, and Route53. I also integrated Stripe for secure and efficient payment processing.

In the realm of UI/UX, I designed user-centric interfaces and experiences with Figma, Maze, and Photoshop, ensuring that our products are not only functional but also delightful to use.

Overall, my role at Cybertiks has been dynamic and multifaceted, combining technical expertise with leadership and innovation. I’m passionate about using technology to solve real-world problems and excited to continue pushing the boundaries of what’s possible in AI and software development.