At GoSign.AI, I specialize in integrating a wide range of technologies—including RESTful APIs, big data, distributed computing, machine learning, computer vision, sign language recognition, generative AI, and large language models (LLMs)—into custom software solutions. My work is focused on building sign language datasets at low cost to empower the sign language community.Responsibilities- Develop and ship production-ready code, ensuring high standards of quality and performance across all deployments.- Utilize Git version control to manage and track changes effectively, maintaining codebase integrity and enabling seamless collaboration.- Collaborate closely with the product design team to rapidly iterate on new features, delivering innovative solutions that meet user needs.- Play an active role in shaping GoSign.AI's leadership and strategic roadmap, contributing to long-term vision and growth.- Design, deploy, scale, and debug distributed systems, ensuring robust and reliable performance under varied workloads.- Build and maintain RESTful and RPC APIs (FastAPI, AWS API Gateway) to seamlessly integrate with backend technologies and support scalable architectures.- Implement WebSockets protocols to mediate natural language user interfaces (NLUIs), enhancing user interaction and accessibility.- Manage relational databases (Postgres) and non-relational databases (Firebase, DynamoDB), ensuring data integrity, security, and performance.- Lead prompt engineering efforts to adapt large language models (LLMs) to highly contextualized scenarios, optimizing their relevance and accuracy.- Drive initiatives to improve accessibility and equity for the Deaf/Hard-of-Hearing community through the integration of advanced technologies including computer vision, sign language recognition, and AI.

As a freelance software developer, I design, develop, and deploy custom software solutions tailored to meet the unique needs of my clients across various industries. My work spans full-stack development, including front-end interfaces and back-end systems, ensuring seamless user experiences and robust application performance. I specialize in delivering high-quality, scalable applications, often incorporating advanced technologies such as AI, machine learning, and IoT integrations. Additionally, I collaborate closely with clients to understand their business objectives, providing technical consulting to align software features with their goals. My portfolio includes web and mobile applications and games, both cross-platform and native, data analytics tools, and automated workflows.

I optimized nutrient delivery and other cultivation parameters by analyzing crop performance data. I also scraped online market data to identify opportunities for new product development. I deployed smart sensors and controllers using IoT technology and developed a custom web dashboard to interface with operational data such as climate conditions, nutrient levels, and worker actions.

I did research in biomedical natural language processing, public health informatics, protein structure prediction, and data pipeline development.

As a Ph.D student in Biophysics, I focused on developing software to gather data for RNA secondary structure prediction.

I worked in a large research lab focusing on bacterial cell growths and protein purification techniques. One of my research aims was to elucidate dual orientation of surface proteins in non-typeable H. influenzae (NTHi).