- Played a pivotal role in a significant web and mobile browser game project from a renowned studio.- Translated complex game designs into functional web applications using React.- Ensured pixel-perfect implementation, faithfully adapting Figma designs.- Worked closely with Unity developers to seamlessly integrate 3D assets, providing a fluid in-browser 3D modeling experience for players.- Developed an immersive website where audio-video transitions responded to user scroll, enhancing the storytelling experience with fitting background scores.- Each challenge at TychoGaming honed my technical expertise and widened my horizons in game development.

At Brillio, I began my professional foray as a Software Development Engineer, immersing myself in the intricacies of MERN Stack development. My training encompassed a wide range of web technologies, from the foundational HTML, CSS, and JavaScript to the advanced frameworks of React, Node, Express, and MongoDB. While my initial engagements were internal, I soon expanded my horizons by collaborating on various projects. Among these were a robust training portal for internal assessments, an admin dashboard for a graphic design school leveraging Firebase, a test portal for an educational institution, and a meticulously crafted school website acclaimed for its scroll-based animations and high-performance metrics. Additionally, I had the opportunity to work on a unique chat application that aimed to bridge communication between educators and parents. My journey at Brillio not only honed my technical prowess but also instilled a deep understanding of client requirements and end-user experiences.

Worked on the project "Adaptive Voice Response based on user input voice" as App Developer (Native Android) and AI/ML practitioner. I worked on the Speech Emotion Recognition, Speech Rate Estimation and Amplitude Estimation algorithms and embedded the same on an android application which could generate energy envelopes of the recorded audio files. Using the generated energy envelopes we were able to successfully analyse and study the input voice and determine speaker's emotion, speed and volume. the determined data was then used to generate adaptive response.