Anika Thapar

Computer Science Student
West Lafayette, US.

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

Sierra Ventures
|

Automation Intern

San Mateo, CA, US

Summary

Automated research workflows using Zapier and Clay, significantly reducing manual work for the investment team.

Highlights

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.

Arrcus
|

Software Engineer Intern

San Jose, CA, US

Summary

Developed and deployed a Python script to automate core dump detection and email notifications, significantly increasing detection rates.

Highlights

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.

Paradigm
|

VEX Robotics Co-Captain

Palo Alto, CA, US

Summary

Directed a 6-member robotics team, managing workflows and strategies for real-time competition success.

Highlights

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

Purdue CS Department
|

Undergraduate Student Board

West Lafayette, IN, United States of America

Summary

Collaborates with the Computer Science department to manage logistics for large-scale student events.

Highlights

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.

VEX Robotics
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Girl Powered Robotics Workshop Speaker/Mentor

Palo Alto, CA, United States of America

Summary

Presented on robotics trade-offs and mentored young girls in building and coding.

Highlights

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
West Lafayette, IN, United States of America

Bachelor of Science

Computer Science

Grade: 3.85/4.0

Courses

Data Structures

Client-Server Architecture

Algorithm Analysis

Linear Algebra

Discrete Math

Gunn High School
Palo Alto, CA, United States of America

High School Diploma

Computer Science

Grade: 4.45/4.0

Skills

Programming Languages

C, Java, Python, Javascript, CSS, HTML, Scheme, R.

Developer Tools & Libraries

Git, TensorFlow, Keras, NumPy, OpenCV, OpenAI, Flask, BeautifulSoup, Zapier, Clay, Pexpect, Jinja2.

Core Computer Science Concepts

Data Structures, Client-Server Architecture, Algorithm Analysis, Linear Algebra, Discrete Math, Multi-threading.

AI Tools & Techniques

Gemini, ChatGPT, Prompt Engineering, Context Engineering, Custom Model Training.

Projects

Better Bytes

Summary

Web-based application for analyzing food ingredients based on dietary preferences.

eve. - Health Equity Application

Summary

Hackathon winning application that uses image scanning to detect harmful ingredients in feminine products.