Lextrack AI  ·  Remote

• Maintained and enhanced metrics dashboard for internal AI performance monitoring, ensuring accurate and timely reporting for the engineering team.
• Updated a CLI tool to parse logs for error categorization and prompt inference latency, improving debugging efficiency and monitoring accuracy.
• Benchmarked prompt evaluation frameworks (OpenAI, Lovable AI), documenting methodologies and trade-offs to guide internal adoption decisions.
• Built multiple AI tools for the company, including:
  • LLM App Performance Analyzer – tracked model response quality and latency.
  • AI Resume Analyzer – extracted key resume insights and matched candidate skills to roles.
  • Customer Segmentation Engine – clustered user data to support personalized recommendations.

Athena Notes  ·  Remote

• Designed and deployed a User KPI Dashboard (SQL, JavaScript, Python) to track engagement, retention, and performance metrics, enabling data-driven product roadmap decisions.
• Researched AI chatbot implementations in EdTech leaders (Khan Academy, Duolingo) to identify best practices in tutoring, content generation, and GPT-4-powered user interaction.
• Evaluated tools including OpenAI API, LangChain, Moderation API, and RAG to improve chatbot accuracy, reduce hallucinations, and increase user trust.
• Built two AI tools:
  • Tutor Chatbot – delivering personalized learning support for students.
  • Evaluator Performance Chatbot – assessing chatbot responses against quality rubrics to identify improvement areas and enhance AI-assisted tutoring outcomes.

Independent Research  ·  Machine Learning, NLP

• Analyzed 388 customer reviews to identify sentiment trends tied to product perception and churn risk.
• Built an end-to-end NLP classification pipeline using Python (Pandas, NLTK, Scikit-learn) in Google Colab, achieving 82% accuracy.

Internal Metrics & Impact Dashboard  ·  SQL, Python

• Transformed time-series usage logs into metric-ready tables using Python (Pandas), enabling tracking of engagement trends across institutional segments.
• Defined and implemented core product metrics and visualizations to support development of an internal analytics dashboard for executive and analyst decision-making.

UC Berkeley Computer Science Mentors (CSM)  ·  On-site

• Lead Content Mentor meetings and collaborate with coordinators to shape curriculum strategy and improve content delivery for Data C88C (Computational Structures in Data Science).
• Develop and maintain technical learning resources — worksheets, solutions, and original problem sets — for 80+ students weekly.
• Design mentor guides supporting effective teaching of complex technical concepts; spearhead curriculum initiatives to improve student learning outcomes.
• Conduct weekly discussion sections and provide additional student support through office hours and community events.

UC Berkeley CS Kickstart  ·  On-site

• Lead industry outreach and campus partnerships to connect 80+ women-identifying first-year CS students with companies through professional development, networking events, and workshops.
• Work closely with corporate partners to bring career-focused resources, workshops, and industry insights to members.
• Previously served on External & Internal Committee (Dec 2024 – Dec 2025), coordinating event logistics, networking panels, socials, and speaker engagements.
• Participated as a Student in the CS Kickstart bootcamp (Aug–Dec 2024) — completed hands-on workshops in Python, Data Science, and Web Development; attended field trips to Adobe & Ammunition.