Optimizing Python code in Claripy, improving symbolic execution and constraint-solving for better performance and accuracy in binary analysis. Currently migrating to Rust using PyO3, achieving faster execution and enhanced data integrity. Streamlining development by working with CI/CD pipelines and containerized applications using Docker, including unit test cases for reliability.

Refactored MongoDB schema and integrated Redis caching, reducing query times by 15% and database load by 25%. Deployed applications using AWS EC2, S3, and RDS, ensuring scalability and cost-efficiency. Utilized Next.js and TypeScript for server-side rendering, API development, and performance optimization. Developed a secure authentication system with JWT and OAuth2, supporting password, OTP, and social media logins. Built frontend components, including Live Task Timer, Dashboard Analytics, and Invoice Generator.

Analyzed over 60 pigment mixtures and applied data preprocessing and feature engineering to optimize pigment characteristics. Implemented a genetic algorithm combined with deep learning techniques, resulting in a 20% reduction in ingredient costs and significant time savings. Achieved a 90% prediction accuracy, leading to a nearly 50% reduction in resource wastage.

Effectively managed course responsibilities for over 200 students, spanning courses including ”ENR305 - Sensors, Instruments, and Experiments” and ”CSE100 - Fundamentals of Computer Programming. Assisted faculty in class activities, resolved student queries through tutorials in C, Python, and Arduino, and offered vital assistance on course projects.