Software Engineering Intern

Anirudh Krishnakumar

• https://github.com/panipurimasala •https://portfolio-site-pi-eight.vercel.app • https://www.linkedin.com/in/anirudh-kk-009885212/ • +1-612-***-**** • ********@***.*** EDUCATION

University of Minnesota, Twin Cities Minneapolis, MN Bachelor of Science in Computer Science, College of Science and Engineering Graduating: May 2026

● Relevant Coursework: Program Design architecture; Operating systems; Algorithms and Data Structures; Discrete math; Probability and statistics; Machine architecture; Introduction to artificial intelligence; Advanced algorithms and data structures

● Deans list for academic proficiency.

RELEVANT EXPERIENCE

Software engineering intern, Optum Eden Prairie, Minnesota June 2024 – Aug 2024

● Utilized AGILE development to test and prototype an API on fastAPI and used Azure openAI REST API to answer a classification and reasoning problem.

● Built a RAG pipeline to make the prompting application more accurate responses for the reasoning problem being solved.

● Utilized rate limiting algorithms, and concurrency to improve latency by 60% and decrease failure rate to 0%

● Load tested application on locust environment and implemented langchain fallback features to decrease latency of API by 50%.

● Designed UI prototype for product with reactjs

● Deploy application on Azure cloud storage

Undergraduate Researcher, University of Minnesota Minneapolis, Minnesota August 2023 – April 2024

● Facilitated the use of software Webots to model simulations to answer the research question ‘Optimizing the number of SWARM robots used in cleaning environments without obstacles’.

● Developed digital controllers in C to simulate robot behavior and increase the algorithmic efficiency of robots by 30% to determine an algorithm to completely cover an area in the most effective manner.

● Deployed statistical tests and supervised learning techniques to determine the optimal number of robots to deploy such that they do not collide into each other while covering an area. This resulted in an 89% improvement in efficiency of covering the area. Software engineering Intern, Optum Eden Prairie, Minnesota June 2023– August 2023

● Employed PyTorch, TensorFlow, and Keras to implement custom CNN architectures for precise medical data extraction, improving the accuracy of the previous model by 15%.

● Utilized YOLO algorithm for transfer learning to detect main sections of medical documents, increasing the model’s speed by 18%.

● Helped team in detecting more than 10000 security vulnerabilities in github repositories and built a python API for the same

● Integrated Azure ML studio and Azure cloud storage for scalable model training and deployment. AI Intern, Digi Air Technologies and Analytics Private Ltd. Tamil Nadu, India May 2021 – August 2021

● Constructed a stress level quantification module in Python by employing a diverse set of machine learning algorithms, including K-Nearest Neighbors (KNN), Linear Regression, Support Vector Machines (SVM), Decision Forest, and Artificial Neural Networks (ANNs).

● Exploited hyper-parameter optimization and feature selection techniques to enhance model performance achieving 94% accuracy.

● Leveraged Pandas and NumPy for robust data modeling and analysis, delivering comprehensive insights to clients. Executed the initial prototyping phase on Google Colab and transitioned to the Spyder IDE for rigorous final testing and refinement. PROJECTS

Black-scholes calculator-

● Used python, streamlit and data manipulation libraries to create a UI for calculating black scholes formula for pricing options. Drone delivery system-

● Used C++ to create a drone delivery system involving web sockets for real time transfer and integrated basic design principles.

● Involved creating components like cars, robots that interact with each other, UI done in c++

● Containerized on docker

LEADERSHIP

Treasurer, UMN Kernel Object club

● Found grants and finance operations to raise over $6000 for club meetings and bringing in guest speakers to speak on open source programming opportunities.

RELEVANT SKILLS

Technical (Or Field) Skills: Pytorch, Tensorflow, Java, Python, Javascript, Node.js, React,js, SQL, Cypher, C, C++, HTML, CSS

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