At Filmic Technologies, I contributed as a Software Engineer Intern (Founding), focusing on delivering MVPs and integrating payment systems. I led a team of interns to streamline our development processes, significantly reducing feature delivery time. My work included architecting a full-stack solution on AWS and creating a robust payment gateway, which enhanced our product's functionality and user experience.

At Learno.AI, I played a pivotal role in transforming research prototypes into a production-ready AI education tool. I spearheaded the development of a minimum viable product (MVP), significantly reduced hallucination rates in LLM responses, and created a backend service for efficient document retrieval. My contributions were crucial in ensuring a seamless user experience for early beta users.

At Signimus Technologies, I focused on enhancing image processing capabilities through advanced machine learning techniques. My role involved fine-tuning computer-vision models and optimizing training pipelines, which resulted in significant improvements in segmentation accuracy and training efficiency. Additionally, I played a key role in scaling our compute infrastructure, ensuring a robust and scalable environment for our consumer-facing features.

Early product team building career/mentorship platform features. I contributed backend and ML components to improve personalization, media QA, and automation across the platform.

Responsibilities & Accomplishments:

• Personalized mentor matching by building a hybrid recommendation system for 250K active users.

• Cut QA manual hours by ~80% by developing image segmentation models to automatically enhance and validate user media.

• Optimized API response times by 90% (to <150 ms) by indexing key MongoDB collections used in user data retrieval.

• Implemented a multiprocessing pipeline in image and video segmentation APIs, resulting in parallel processing of media, achieving up to 5x speedup over the previous sequential implementation.