Responsibilities include:

• Mentor students, debug code, and grade assignments across Advanced Python, Digital Logic Design, and ML courses
• Lead FPGA/digital logic labs on Xilinx Zynq; implemented and tested an LFSR in Verilog and C
• Support curriculum development and course logistics; deliver recitations and office hours

Responsibilities include:

• Built an interactive university web portal; owned feature delivery in Jira-driven sprints
• Managed Git workflows, PRs, and CI/CD for a 6-person team
• Integrated Firebase JSON data into React components for dynamic UI and data visualization

Responsibilities include:

• Engineered an AI-driven university information tool using LangChain and OpenAI APIs
• Designed scalable infra: Next.js front end + vector DB retrieval for accurate search
• Drove product roadmap and reliability for high-traffic usage

Responsibilities include:

• Implemented matchmaking features connecting students, faculty, and industry partners
• Built React/TypeScript UI and REST API integrations to backend services
• Practiced STLC with code reviews, testing, and scalable design patterns

Responsibilities include:

• Designed an agentic, HITL-centric advising system; funded by Mayer Undergraduate Research Fellowship
• Built a relational database from web-scraped catalogs; improved retrieval accuracy by ~50%
• Produced personalized course recommendations from student history and curriculum constraints

Responsibilities include:

• Fine-tuned BERT/LLaMA with PyTorch/Transformers/LoRA for Big-Five trait prediction
• Preprocessed interview corpora (Pandas, NLTK); automated HPC batch jobs on Linux
• Co-authored publications with Psychology collaborators; proposed improved prediction methods

Responsibilities include:

• Lead a 3-person team studying linguistic markers predictive of future Alzheimer’s risk
• Defined research plan, IRB/funding, and evaluation protocols using NLP metrics

Responsibilities include:

• Taught foundations: intelligent agents, AI history, data preprocessing, ML algorithms
• Ran hands-on projects connecting theory to real applications; developed course materials

Responsibilities include:

• Built a retrieval-augmented generation pipeline with a hosted vector database
• Automated transcript summarization and symptom screening using GPT-4

Responsibilities include:

• Directed 4+ staff to maintain facilities and customer experience during peak hours
• Coordinated operations, safety, and communication across shifts

GPA: 4.0/4.0

Thesis on Predictive Natural Language Metrics of Alzheimer’s Disease and Cognitive Decline Using Machine Learning​. Supervised by Dr. Jennifer Dworak.

Courses included:

• Machine Learning in Python
• Algorithm Engineering
• Computer Architecture
• Quantum Computing

GPA: 3.73/4.0

Courses included:

• Machine Learning in Python
• Artificial Intelligence
• Computer Architecture
• Foundations Modern Computing

GPA: 3.73/4.0

Courses included:

• Partial Differential Equations
• Mathematical Biology
• Mathematics of Machine Learning
• Scientific Computing

GPA: 3.73/4.0

Courses included:

• Linear Algebra
• Databases
• Technology, Society, and Value
• Senior Design