PhD student in Computer Science at University at Buffalo, researcher in cryptography and privacy-preserving technologies, Graduate Teaching Assistant, and former Frontend Developer with 3 years of industry experience building AI-driven platforms.
PhD Student, Researcher & Developer
My name is Erfan Habibi Panah Fard, and I am currently pursuing my PhD degree in Computer Science at the University at Buffalo. Alongside my studies, I serve as a Graduate Teaching Assistant in Discrete Structures, where I lead a team of TAs and collaborate with faculty to enhance the academic experience for students. My work focuses on improving course curricula, promoting academic integrity, and ensuring students gain a deeper understanding of key concepts.
Previously, I worked as a Frontend Developer at Bent Oak Systems (Elevista.ai), where I contributed to the development of high-quality, AI-driven audience growth platforms. Leveraging my proficiency in TypeScript and full-stack development, I collaborated with design teams and implemented advanced frameworks like Next.js and Nest.js. These efforts played a pivotal role in enhancing product design, meeting ambitious project deadlines, and driving platform success.
Beyond my academic and professional endeavors, I am deeply interested in exploring how cutting-edge technologies can drive meaningful change, particularly at the intersection of AI and robotics. My journey continues to be driven by a commitment to learning, teaching, and creating impactful solutions.
University at Buffalo
Buffalo, New York, United States
Conducting research in secure multiparty computation under Dr. Marina Blanton. Working on the PICCO compiler to enhance its functionality and security features. Implementing secure floating-point operations using Replicated Secret Sharing (RSS) backend for privacy-preserving computations.
University at Buffalo
Buffalo, New York, United States
Leading a team of 10 graders for CSE 560, managing course logistics and student assessments. Teaching database fundamentals including relational databases, SQL, and query optimization. Conducting office hours to support students in understanding complex database concepts and query languages.
University at Buffalo
Buffalo, New York, United States
Led a team of 16 Teaching Assistants for CSE 191, collaborating with faculty to enhance the academic experience. Managed course curricula improvements, promoted academic integrity, and ensured students gained deeper understanding of fundamental discrete mathematics concepts including logic, sets, functions, and graph theory.
Bent Oak Systems
Remote
Developed web applications and features for AI-driven platforms. Collaborated with product managers including Vahid Goodarzy (mentor), designers, and engineering teams including Amin Azarbadegan and Fahim P. Leveraged TypeScript and full-stack development, implementing advanced frameworks like Next.js and Nest.js to convert complex concepts into user-friendly interfaces.
University at Buffalo
Buffalo, New York, United States
Conducting research under the supervision of Dr. Marina Blanton, focusing on enhancing the Signal protocol and secure multiparty computation. Research areas include cryptography, privacy-preserving technologies, and secure communication protocols.
In ProgressK. N. Toosi University of Technology
Tehran, Iran
Graduated with GPA: 3.46/4. Completed comprehensive coursework in electrical engineering, signal processing, and digital systems. Conducted research in EEG-based neural networks and brain-computer interfaces, achieving 6th place in the 2020 International BCI Competition.
GPA: 3.46/4
National Organization for Development of Exceptional Talents (NODET)
Tehran, Iran
Graduated with GPA: 3.916/4 from a specialized school for academically gifted students. Strong foundation in mathematics, physics, and computer science.
GPA: 3.916/4
IEEE • 2021
Achieved 80% classification accuracy in 3 subjects among 15 participants. Developed ensemble methods combining anomaly detection with neural networks for classifying hand grasping motions using EEG data.
Classified hand grasping motions using EEG data. Applied machine learning and neural network techniques to achieve top-tier results in international competition.
University of Michigan
November 2020
University of Michigan
November 2020
Udemy
October 2020
Udemy
October 2020
Udemy
October 2020
Udemy
October 2020
Coursera
September 2020
University of Michigan
September 2020
IEEE
March 2019
Credential: KNTU-ACM-19NrxF-0022938672
Full Professional Proficiency
Native or Bilingual Proficiency
Note: Proficiency levels are based on professional experience, academic research, and hands-on project work. These represent comfort level and depth of knowledge in production environments.
Product Manager at Bent Oak Systems
Worked directly with Erfan
Erfan demonstrated exceptional technical excellence and collaborative spirit throughout our time working together. His ability to convert complex technical concepts into user-friendly interfaces was invaluable to our team. What impressed me most was his willingness to learn and continuously improve, paired with strong soft skills that made him a pleasure to work with.
Senior Developer at Bent Oak Systems
Colleague
Working alongside Erfan was an incredible experience. His deep understanding of frontend technologies, particularly React and TypeScript, elevated our entire codebase. He was always ready to help teammates tackle challenging problems and his code reviews were insightful and constructive.
Want to work with me? Get in touch or connect with me on LinkedIn
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