About

Johns Hopkins University

Baltimore, MD (Expected May 2024)

Master of Science in Engineering in Computer Science

Johns Hopkins University

Baltimore, MD (Aug 2019 - May 2023)

Bachelor of Science in Chemical and Biomolecular Engineering, Minor in Computer Science

• Dean's List (2019-2023) and Chemical and Biomolecular Engineering Departmental Honors recipient
• Provost Undergraduate Research Award 2022 recipient
• Relevant coursework: Transport Phenomena, Chemical and Biological Process Analysis, Dynamic Modeling and Controls, Data Structures, Computer Systems Fundamentals, Engineering Thermodynamics, Artificial Intelligence, Genomic Data Science
• Cumulative GPA: 3.81/4.00 (Major GPA: 3.84/4.00)

With a strong academic foundation in Chemical and Biomolecular Engineering complemented by a minor in Computer Science, my background is a unique blend of technical expertise and interdisciplinary knowledge. As a recent graduate from Johns Hopkins University, I am equipped with a diverse skill set that encompasses software engineering, research, and leadership.

Throughout my undergraduate years, I excelled in challenging coursework, earning a cumulative GPA of 3.81/4.00 and consistently making the Dean's List. I delved into core engineering principles, such as Transport Phenomena and Chemical and Biological Process Analysis, while also expanding my knowledge in computer science through courses like Data Structures and Artificial Intelligence. This cross-disciplinary approach has allowed me to understand complex systems and find innovative solutions at the intersection of technology and engineering.

In my professional experiences, I have had the opportunity to apply my skills and make a tangible impact. As a Lead Software Engineer at CraniUS LLC, I developed an automated scanning tool to identify vulnerabilities in open-source software, resulting in the discovery of critical vulnerabilities and contributing to enhanced security measures. I also spearheaded the creation of software-bill-of-materials generation and analysis scripts, significantly reducing vulnerability scanning time.

At CraniUS, communication to the implantable devices and their respective companion devices exclusively uses the Bluetooth Low Energy (BLE) protocol. Encryption is provided by the protocol but there have been vulnerabilities detected in this protocol in the past so CraniUS utilizes its own an additional encryption scheme to secure this communication. I was responsible to developing this procedure with the remote “bonding” of the two devices. My implementation was able to achieve long-term encrypted and authenticated communication channel, that is resilient to companion device failure or compromise and hence mitigates the risk or need for unplanned, revision surgery and/or premature device explantation. In the world of implantable medical devices, this is a novel technology and as such this method has been envisioned into an all inclusive system that is patent pending (Medical Implant Software Systems and Methods US-20230422041-A1), where I am listed as the 2nd inventor, having implemented and designed a majority of the system within my capacity at CraniUS.

Additionally, I have contributed to groundbreaking research as an Undergraduate Research Assistant at the Centre for Nanomedicine at Wilmer Eye Institute. My work involved the development of antibiotic-eluting sutures to prevent ophthalmic infections, as well as the creation of a portable version of the Humphrey visual field analyzer test. These experiences have not only honed my technical skills but have also taught me the importance of meticulous experimentation and attention to detail.

Beyond my academic and professional endeavors, I have actively engaged in leadership roles and extracurricular activities. As a Resident Advisor at Johns Hopkins University Residential Life, I mentored and supported fellow students, fostering a sense of community and facilitating their transition to campus life. I also participated in the American Institute of Chemical Engineers (AIChE), conducting thermodynamic analysis and contributing to data visualization and analysis projects.

Driven by a passion for continuous learning and problem-solving, I possess a solid foundation in programming languages such as Python, Java, and C++. Additionally, I am proficient in utilizing frameworks like React and Django, cloud platforms such as AWS and Azure, and databases like PostgreSQL. My technical skills are complemented by my ability to design hypotheses, conduct wet-lab research, and rapidly prototype solutions. In my spare time, I enjoy exploring different cultures, languages, and cuisines. I am fluent in English and Hindi, and I have conversational skills in Spanish. This global perspective and multicultural awareness contribute to my ability to work effectively in diverse teams. With a well-rounded background that spans engineering, computer science, research, and leadership, I am poised to take on new challenges and make meaningful contributions. I am excited to leverage my skills and experiences to drive innovation, solve complex problems, and create a positive impact in the ever-evolving technological landscape.