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I’m a Computer Science graduate passionate about building secure and intelligent software. My work spans software development, DevOps, and AI systems with a strong focus on performance, security, and reliability.
I care about writing clean code, automating processes, and creating systems that scale with confidence.
Hi! I'm Vivek Raj, a Computer Science graduate with a focus on Artificial Intelligence from Binghamton University. I’m passionate about building secure, intelligent systems that solve real-world problems.
My journey began during my undergraduate studies at Binghamton, where I developed a strong foundation in algorithms, systems, and AI. That foundation grew into a deeper interest in cybersecurity, machine learning, and system design during my master’s.
I’ve contributed to Apple’s open-source FoundationDB, competed in global security competitions like MITRE’s eCTF, and conducted research in prompt engineering for NLP. I also mentored over 100 students as a Teaching Assistant in Computer Security and Algorithm Design.
These days, I love crafting creative AI solutions, optimizing system performance, and working on projects that sit at the intersection of code, security, and innovation.
HUGGING FACE
PYTORCH
TAILWIND
REACTJS
NODEJS
GITHUB
GIT
C
C++
ADOBE AI
JAVA
PYTHON
TENSORFLOW
PYTORCH
SCIKIT-LEARN
LINUX
HTML
CSS
MONGODB
FLASK
C#
.NET
EMBEDDED
Binghamton University, NY | Jan 2024 – May 2025
Specialized in Artificial Intelligence, GPA: 4.0
Graduated with Summa Cum Laude honors 🏆
Binghamton University, NY | Aug 2021 – Dec 2023
GPA: 3.8 • Dean’s List
Graduated with Magna Cum Laude honors 🏆
Binghamton University, NY | Aug 2024 – July 2025
Mentored 100+ students in Computer Security and Design and Algorithms, covering cryptography, network
security, data integrity, and algorithm analysis for strings, trees, graphs, and networks
Binghamton University, NY | Feb 2024 – May 2024
Worked on prompt engineering to optimize AI responses and tested models for enhanced accuracy.
JPMorgan Chase & Co. | July 2023
Hands-on experience with software workflows and practical dev tasks.
JPMorgan Chase & Co. | June 2023
Gained cybersecurity exposure and applied skills in simulated projects.
Central Hudson Gas & Electric, NY | Jun 2022 – Aug 2022
Enhanced SAP integration and performance with ABAP and CDS Views.
Refactored initialize_logger_level and unit_tests_version_510 in FoundationDB,
enhancing maintainability, readability, and logging efficiency. This improves debugging reliability and
makes the codebase easier to extend.
Led a 10-member team to a top-26 global finish in MITRE’s eCTF. Designed a secure TV decoder with AES-128 encryption, side-channel resistance, and anti-replay mechanisms. Captured 46+ flags by reverse-engineering adversarial firmware using C and Python.
Built AirMouse, a computer vision-based tool using TensorFlow to control a computer with hand gestures. Used a client-server model to process video and generate hand skeletons. Implemented smoothing for stable cursor control. Won Best Technical Work at Hackathon 2024
Developed a custom user-space memory manager in C with 15% performance gains via optimized allocation and bitmap tracking; reduced leaks with interposition and improved reliability by 20% through rigorous testing.
Analyzed Reddit, 4chan, and YouTube discussions on tech and movies using the ModerateHateSpeech API to detect toxicity and hate speech. Built an interactive dashboard with Hugging Face LLM and MongoDB to visualize trends and engagement. Provided insights into how social platforms shape public discourse
Built a Python-based stock trading and forecasting tool using libraries like scikit-learn, pandas, NumPy, and PyTorch. Engineered 100+ financial features and indicators for accurate predictions. Integrated SVC, Logistic Regression, K-means, and model ensembling (Voting, Blending, Adaboost) to boost reliability. Delivered a user-friendly interface to help users make smarter trading decisions.
Led a 10-member team to secure global rank 26 and 2nd in New York State in MITRE’s eCTF competition focused on embedded system security.
Contributed to Apple’s open-source project FoundationDB on GitHub.
Awarded Summa Cum Laude distinction in Computer Science for high academic performance
Awarded Magna Cum Laude distinction in Computer Science for high academic performance
Awarded for exceptional performance in mathematics and academics.
Awarded by the National Science Foundation for GPA 3.8+.
Awarded for creating the best technical hack at the event.
Placed 2nd in prestigious hackathon hosted by YCW.
