Preetika Kaur

Email
pkaur1@berkeley.edu
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About Me

I'm a recent Cognitive Science grad from UC Berkeley who loves building AI-powered tools that actually solve problems. I combine technical skills with product thinking to create solutions people want to use.

I've worked on everything from machine learning models to Chrome extensions to leading small teams on projects. Right now, I'm really into Web3, prediction markets, and emerging tech—basically anything that makes complex systems more accessible and transparent.

Technical

C++, Python,SQL, CSS, Java, HTML, Golang, Pandas, Git, Excel,

Domains

AI & Machine Learning, Fintech & Prediction Markets, Human-AI Interaction, Data Analysis & Automation

Featured Projects

Building products that combine AI, data, and user-centered design

Maps Multi-Tab Navigator

2025
JavaScript Chrome API CSS
Chrome extension for managing multiple Google Maps routes simultaneously. Reduced route planning time by 60%.
  • User research with 20+ Google Maps users
  • Persistent route saving with Chrome Storage API
  • Seamless UI integration without breaking functionality
GitHub

Stable Diffusion Optimizer

2023
Python AI Gradio
AI prompt engineering tool built in 72 hours at Cal Hacks 10.0. Competed among 2,000+ participants.
  • Rapid prototyping under tight deadlines
  • Custom templates for improved output quality
  • Intuitive interface with real-time previews
GitHub

Financial Data Pipeline

2024
Python APIs Pandas
Automated stock market data analysis pipeline. Reduced manual reporting time by 70%.
  • Automated OHLC data retrieval and cleaning
  • Calculated moving averages and volatility metrics
  • Production-ready error handling and validation
GitHub

visAI

2024
Python ML Pandas
ML-powered visa application error detection system. Led 4-person team achieving 85% accuracy and 40% reduction in processing time.
  • Analyzed 5,000+ applications for pattern identification
  • Implemented bias detection for ethical AI
  • Presented product strategy to stakeholders

Experience

Building products and conducting research at the intersection of AI and cognition

AI Model Trainer

Mercor AI Aug 2025 – Dec 2025
Trained multimodal AI models on visual-auditory perception by generating 100+ labeled audio-visual pairs, enabling models to learn cross-modal representations between vision and language. Worked closely with AI research teams to improve data quality protocols, developing keen understanding of how AI systems learn and interpret human communication.

Research Assistant

UC Berkeley Computational Cognitive Science Lab Aug 2022 – Jan 2024
Developed ChatGPT API modifications and conducted data analysis on human-AI interaction patterns. Collaborated with interdisciplinary team to translate cognitive science insights into technical requirements and product improvements.

Program Manager Robotics Instructor

Magikid Jan 2025 – June 2025
Taught students to design, build, and program VEX Robotics systems while introducing foundational engineering and coding concepts in Python and Scratch. Created hands-on lesson plans that made STEM engaging and accessible, helping young learners develop problem-solving skills through real-world robotics challenges. Managed robotics program for 200+ students across 4 locations while instructing 3 courses weekly; established operating rhythm and communications that improved completion rates from 78% to 94%.

Accounting Assistant

Payless Accounting Mar 2020 – Jun 2022
Automated financial reporting workflows using macros and PivotTables, improving operational efficiency by 30%. Developed analytical dashboards for management decision-making.

Let's Build Something Amazing

Available for product management and technical roles in AI, blockchain, and fintech.

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