# Anika Thapar - Computer Science Student
Source: https://hello.cv/anikathapar
West Lafayette

## Links
- LinkedIn | https://linkedin.com/in/anika-thapar
- GitHub | https://github.com/anikaact

## About
Anika Thapar is a driven Computer Science student at Purdue University, specializing in software development, automation, and artificial intelligence. With hands-on experience from internships at Sierra Ventures and Arrcus, she has a proven ability to optimize complex workflows, develop innovative solutions, and significantly enhance operational efficiency. Anika excels in leveraging Python, C, and AI/ML tools to solve real-world problems and lead technical projects, demonstrating strong leadership and problem-solving skills in both academic and professional settings. She is seeking challenging roles to apply her expertise in creating impactful software solutions.

## Work
### Automation Intern | Sierra Ventures
Automated research workflows using Zapier and Clay, significantly reducing manual work for the investment team.
- Automated research workflows using Zapier and Clay, reducing manual effort by 80% for the investment team.
- Utilized BeautifulSoup to extract critical data on emerging startups from accelerators, deal sites, and curated databases.
- Leveraged AI tools (Gemini, ChatGPT) with advanced prompt and context engineering to streamline workflows, accelerate analysis, and enrich sourcing pipelines.
### Software Engineer Intern | Arrcus
Developed and deployed a Python script to automate core dump detection and email notifications, significantly increasing detection rates.
- Developed and deployed a Python script with pexpect and multi-threading to automate core dump detection, increasing detection rates by 500% and streamlining engineering team notifications.
- Engineered 4 Jinja2 templates to standardize and streamline configuration testing across diverse networking protocols.
### VEX Robotics Co-Captain | Paradigm
Directed a 6-member robotics team, managing workflows and strategies for real-time competition success.
- Directed a 6-member robotics team, assigning roles and developing real-time competition strategies for optimal performance.
- Programmed 8 VEX robots in C, integrating aluminum frameworks, pneumatics, and gear systems to achieve competitive objectives.

## Volunteer
### Undergraduate Student Board | Purdue CS Department
Collaborates with the Computer Science department to manage logistics for large-scale student events.
- Collaborated closely with the Computer Science department to manage logistics for 5+ annual events, serving over 3,500 students.
- Led a 6-member team in orchestrating various Computer Science Department events, ensuring successful execution and attendee satisfaction.
### Girl Powered Robotics Workshop Speaker/Mentor | VEX Robotics
Presented on robotics trade-offs and mentored young girls in building and coding.
- Educated over 500 girls on the critical trade-offs between torque and speed in robotics design and execution.
- Mentored 6 teams of 4 girls each (24 total), providing comprehensive guidance on building, coding, and strategic planning.

## Education
### Purdue University | Computer Science
3.85/4.0
- Data Structures
- Client-Server Architecture
- Algorithm Analysis
- Linear Algebra
- Discrete Math
### Gunn High School | Computer Science
4.45/4.0

## Skills
### Programming Languages
Proficient
- C
- Java
- Python
- Javascript
- CSS
- HTML
- Scheme
- R
### Developer Tools & Libraries
Proficient
- Git
- TensorFlow
- Keras
- NumPy
- OpenCV
- OpenAI
- Flask
- BeautifulSoup
- Zapier
- Clay
- Pexpect
- Jinja2
### Core Computer Science Concepts
Proficient
- Data Structures
- Client-Server Architecture
- Algorithm Analysis
- Linear Algebra
- Discrete Math
- Multi-threading
### AI Tools & Techniques
Proficient
- Gemini
- ChatGPT
- Prompt Engineering
- Context Engineering
- Custom Model Training

## Projects
### Better Bytes
https://github.com/bistii1/BetterBytes
Web-based application for analyzing food ingredients based on dietary preferences.
### eve. - Health Equity Application
https://github.com/tangalice/eve.
Hackathon winning application that uses image scanning to detect harmful ingredients in feminine products.

## Source
Read this profile on Hello.cv: https://hello.cv/anikathapar
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