Tanuj Ranjith

I built VetsITGuide to bridge the gap between veterans and the tech sector, which can seem daunting to those unfamiliar with it, but the tech industry has the most promise. According to homeland.house.gov, around 500,000 unoccupied jobs are ready to be filled, and these companies need the right people, which is exactly where VetsITGuide comes in as an educational resource for our great veterans. VetsITGuide was accepted into the U.S. Department of Veterans Affairs Innovation Repository, a recognition that validates our mission to bring real, accessible tech career pathways to the veteran community. I aspire to help steer veterans in the right direction so they can thrive in these roles. At VetsITGuide, we train, educate, and provide a pathway to success in the tech field through resources on Technical Training, Certification, Resume Building, and the Job Application Process.

Contributing to the OpenSource Leg (OSL) project via bug fixes, documentation, unit tests, and small feature development, and collaborating with university researchers and contributors through pull request reviews via GitHub. https://opensourceleg.org/ https://github.com/neurobionics/opensourceleg https://github.com/tanujranjith/opensourceleg

Secretary, Technology Student Association: Support President/VP, record accurate meeting minutes, manage agendas, send notices/reminders, lead social media & outreach, and coordinate members while channeling feedback to leadership. In my first year competing in PA TSA — also our chapter's inaugural year — I advanced to the Regional Semifinals and Finals and reached the PA State Conference Semifinals (Seven Springs, April 2025).

• Assisted in leading the club, collaborated closely with the President and other executive members, and supported the successful planning and execution of club activities. • Involved in organizing logistics for meetings and events, and managing club documentation •Speaker at WCASD AI Night at Rustin High School, speaking to students, parents, educators, and professionals on AI literacy, responsible AI use, and why AI should enhance human thinking rather than replace it. • Oversaw projects, led committees, or handled distinct areas of the club's operation (e.g., outreach, technical projects, or membership engagement)

Vex Robotics, 91C Lead programmer, Build, Design •Programmed the 15-second autonomous period using the VEX inertia sensor and the VEX distance sensor in C++ using Vex pros to produce a high-scoring autonomous program that set up the team for success during the driver period and managed all eight motors and two pneumatic pistons, and personally curated the controls for better drivability according to the driver's preferences. •Drove VEX matches when lead driver was unable to do so for 1 minute and 45 seconds, managing two pneumatic pistons with a six motor drive train and two other motors controlling various aspects of the robotics with one alliance and two opposing teams managing all of this to try and maximize the most points out of our bot while actively communicating with the driver of the other team. •Did the whole pneumatics system on our robot and managed the pneumatics processes, contributed to the building of our drive train, and other components, also contributed heavily to the engineering notebook where the team documents what was done each day.

Vex Robotics, 90H Lead programmer, Lead driver, Lead build • Programmed the 15-second autonomous period using the VEX inertia sensor and the VEX distance sensor in Python to accurately produce a high-scoring autonomous program that set up the team for success during the driver period and managed all eight motors and two pneumatic pistons. • Drove VEX matches for 1 minute and 45 seconds, managing two pneumatic pistons with a four motor drive train and four other motors controlling various aspects of the robotics with one alliance and two opposing teams managing all of this to try and maximize the most points out of our bot. • Did the whole pneumatics system on our robot and managed the pneumatics processes, contributed to the building of our drive train, and other components. • All this led to us attending VEX worlds in Dallas, TX where we met wonderful people and had a once-in-a-lifetime opportunity.

- Trained yolo classification model to achieve around a 85% accuracy that classifies many military aircraft like F16, F35, B52, MiG29, SR71 & 80 more - Led the Aerial/Satellite data track - Ensured high precision to support object-detection model training - Documented dataset trade-offs and the end-to-end labeling pipeline

I met some outstanding, like-minded students during the Stanford Pre-Collegiate Intro to Machine Learning program. I had a wonderful time learning about Descriptive Statistics, Data Types, Independent vs. Dependent Variables, ML Repositories, Exploratory Data Analysis (EDA), Statistical Distributions, Correlation, Regression, Outliers, Data visualizations, and much more. Each day after the lecture, we got the excellent opportunity to put those skills to use by building a project of our own. For my project I chose to create a classification model using the Adult Income dataset (UCI ML Repository) to predict whether individuals earn over or under $50K annually, to build this project I performed data cleaning, label encoding, exploratory data analysis, and feature preprocessing to prepare the dataset for training and evaluation afterIdid data cleansing and label encoding I Trained and fine-tuned multiple models, including Logistic Regression, Decision Tree, Random Forest, AdaBoost, Gradient Boosting, XGBoost, Bagging Classifier, and Support Vector Machine (SVM), along the way Dr.Fairclough was ready to answer any of my question and happy to help, this truly was a wonderful experience and I definitely learned alot throught the program.

Worked with wonderful like minded students to gain hands-on experience with AI platforms and tools while exploring ethical AI development, focusing on fairness, transparency, accountability, and responsible prompting we also analyzed real-world AI applications across healthcare and finance, investigating societal impacts, bias mitigation, model evaluation, and emerging intersections with quantum computing.