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Experience & Education

Team Leader and Machine Learning Intern

Nittany AI Advance

State College, PA, USA

Dec 2024 - Present

Leveraging Large Language Models (LLMs) and advanced AI/ML techniques, including Haystack, Azure AI Foundry, and other frameworks, to enhance team formation, prototype feedback, and evaluation for improved student outcomes. Building a system for role recommendation, prototype critique, and judge score predictions, fostering innovation.

LLMs
AI/ML
Team Leadership
Prototype Evaluation
Haystack
Azure AI

Guided Study Group Leader & Math Tutor

Penn State

State College, PA, USA

Aug 2024 - Present

Led peer study sessions and provided one-on-one tutoring to support student success in mathematics, with a focus on MATH 141 (Calculus with Analytic Geometry II). Designed and facilitated collaborative group activities to deepen understanding of complex calculus topics, while offering individualized tutoring sessions that catered to diverse learning styles across algebra, calculus, and geometry. Enhanced students' problem-solving abilities and exam readiness, fostering academic confidence and performance in a challenging course environment.

Mathematics
Tutoring
Group Leadership
Calculus

Research Assistant

RAISE Lab Pennsylvania State University

State College, PA, USA

Aug 2024 - Present

Reviewed 100+ studies on rater disagreement, identifying patterns and inconsistencies to improve assessment reliability. Implementing advanced statistical methods to enhance evaluation frameworks and ensure data integrity.

Meta-Analysis
Statistical Models
Research
Data Analysis

Research Assistant MCREU 2024

Penn State

State College, PA, USA

Jan 2024 - Aug 2024

Streamlined the preprocessing pipeline for T1-weighted MRI data of 887 patients, leveraging advanced segmentation techniques and atlas-based alignment. Designed and trained 3D CNNs, SVM, and Random Forest models to classify MRI scans into four groups: Parkinson's Disease (PD), Control, SWEDD, and Prodromal, achieving 65.9% multiclass accuracy and 76.4% binary accuracy. The results provide actionable insights for early Parkinson's disease diagnosis.

3D CNNs
Machine Learning
MRI Analysis
Medical Imaging

Part-Time Student Manager/ Crew Leader

Housing and Food Services Pennsylvania State University

Harrisburg, PA, USA

Sep 2022 - Aug 2024

Supervised 200+ student workers, ensuring smooth daily operations and timely service for 5,000+ students. Trained and mentored 80+ new team members boosted onboarding efficiency by 20%, and fostered team collaboration.

Leadership
Operations Management
Process Improvement
Team Mentoring

Part-Time IT User Support Specialist

IT Services Pennsylvania State University

Harrisburg, PA, USA

Mar 2023 - Jul 2024

Served as the first point of contact for IT support, assisted 500+ users with technical issues and inquiries. Enhanced service efficiency through effective communication and streamlined troubleshooting processes.

IT Support
Technical Troubleshooting
Customer Service

Research Assistant MCREU 2023

Penn State

State College, PA, USA

May 2023 - Aug 2023

Engineered an adaptive learning algorithm to adjust rates based on rejects, improving WisdomNet's reliability by 90% for safety-critical use. Tested the algorithm on breast cancer datasets, synthetic data, and MNIST, achieving a 10% accuracy improvement.

Machine Learning
Algorithm Design
Data Analysis

Intern

InnovatiOS Technology

India

Jun 2022 - Aug 2022

Engineered Ai.Cam VMS image processing modules using YOLOv5 for detecting fire, smoke, and face masks. Designed an intuitive UI for real-time detection selection, enabling practical deployment in safety-critical environments.

Computer Vision
YOLOv5
UI Design
Safety Systems

Intern

Navigator Technologies

India

Apr 2021 - Jun 2021

Built a voice-activated Android application for display panel printing, integrating Bluetooth communication and Arduino-based hardware controls. Improved operational efficiency by automating manual processes and reducing errors.

Android Development
IoT
Voice Recognition
Bluetooth

Intern

Finland Labs

Remote

Oct 2020 - Oct 2020

Applied CNNs and deep learning models for accurate classification of Cats vs. Dogs, achieving 92% accuracy. Designed and deployed AWS-based solutions for home automation, and conducted sentiment analysis of Flipkart reviews, delivering actionable insights to improve customer satisfaction.

Deep Learning
AWS
Sentiment Analysis
Classification