"I recently graduated with a Master of Science in Electrical and Computer Engineering from Boston University. My studies involved Digital Image processing, Advanced Data Structures, Deep learning, Controls and Autonomous Systems and Malware Analysis. I have an extensive background in working with the entire Machine Learning lifecycle through various term projects. I have successfully trained and deployed a number of Machine learning models for the likes of Social media applications, auto pilot, and music classification.

Professionally, I worked at Raytheon as a Software Engineer for nearly 2 years. I've had the opportunity to work in an agile software development team, handling everything from software design and debugging to implementing new features. This experience has sharpened my problem-solving skills and my ability to work collaboratively and efficiently within a dynamic team environment. Additionally, during my internship at MIT Lincoln Laboratory, I engaged in cutting-edge research on controls and autonomous systems. There, I contributed to projects involving sensor integration and the development of control algorithms for unmanned vehicles, further enhancing my engineering skills in a practical, research-driven setting. This blend of academic and professional experiences has equipped me with a profound technical skill set and a robust practical understanding of real-world applications in electrical and computer engineering.

I used to tutor at a self-proprietary business before starting my masters, and I prepared kids to take the SAT math sections. I remember deriving a lot of joint from seeing the kids gain an understanding for solving difficult math problems, and I want to rejoice in that experience once again. I think teaching concepts about software engineering practices will not only benefit those learning from me, but sharpen my own skills as well." less...