Aakarsh Satish

Computer Science graduate student at NC State, actively seeking Summer Software Engineering Internships. ad22ps@r.postjobfree.com www.linkedin.com/in/aakarsh-satish https://github.com/Aakarsh-Sathish https://aakarsh-sathish.github.io/ SKILLS

Languages: Python, C++, HTML, CSS, JavaScript, PHP, TypeScript

Database, Microcontrollers and Operating Systems: Linux, MySQL, MongoDB, Windows, Arduino, Raspberry Pi

Tools/Frameworks: GIT, API’s, AWS, Zeplin, Figma, Bootstrap, Angular, Jupyter Notebook, Pandas, Numpy, Scikit Learn, NodeJS

Certifications: Certified as an AWS Academy Graduate - AWS Academy Cloud Foundations from ICT Academy EDUCATION

North Carolina State University - Raleigh, United States August 2023 – May 2025

- Master of Computer Science

- Coursework: Automated Learning and Data Analysis, Design and Analysis of Algorithms, Object-Oriented Design and Development CGPA: 3.66/4.0

The National Institute of Engineering – Mysore, India August 2018 – May 2022

- Bachelor of Engineering in Information Science and Engineering

- Coursework: Data Structures and Algorithms, Cloud Computing, Deep Learning, Database and Management, Computer Networks, Operating Systems.

CGPA: 9.2/10.00

PROFESSIONAL EXPERIENCE

Software Engineer, Epsilon, Bangalore, India August 2022 – August 2023

Developed and implemented a reusable internal library named CORE UI using HTML,SCSS, and Angular.

Eliminated internal product teams need for redundant development efforts as the library facilitated the reuse of these components across various internal projects.

Saved a considerable amount of time in development of the project teams as they were leveraging the library's pre-built components and features.

Resolved issues related to accessibility of the components and bugs present in Core UI and the internal products.

Recognized and awarded the “monthly recognition award” for the month of January-February 2023, for solving high priority tasks. Engineering Intern, Epsilon, Bangalore, India January 2022 – July 2022

Assisted in maintaining and improving the design system – CORE UI continuously.

Developing functionalities, debugging and validating test cases of the design system.

Developed the functionalities in Angular by referring to the wireframing tools and UX design. PROJECTS

Data Mining, Data Analysis, and Machine Learning:

Conducted Impact Risk Assessment on asteroids using NASA's NeoWs dataset with 40 attributes.

Leveraged Python and various libraries for cleaning, preprocessing, and analysis. Implemented data mining algorithms for trajectory and orbit analysis.

Applied visualization techniques to present comprehensive views of asteroid attributes, aiding in the identification of potential hazards.

Conducted outlier detection, transformations, and preprocessing to enhance data quality and model accuracy.

Implemented machine learning models to predict outcomes, including tuning parameters for optimal performance.

Contributed to the project's core objective of calculating the likelihood of asteroid impacts on Earth, emphasizing a multidisciplinary approach involving data science and risk assessment.

Machine Learning and Deep Learning

Built a shopping cart using cart chassis, batteries, and motors and used microcontrollers such as Raspberry pi and Arduino Uno.

Arduino Uno was used to control basic movements and speed of the cart, and Raspberry PI was used to detect objects, lane ends, obstacles, and instruct Arduino Uno accordingly.

Used various machine learning models and deep learning models for lane detection, object recognition and obstacle detection.

Project helps visually impaired person to navigate around the market and detect the desired objects.

Published a technical paper on “Self-Driving Shopping Cart to assist the Visually Impaired” at the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022). Data Analysis and Data Visualisation

Developed a Covid-19 Dashboard in Python using datasets from Kaggle which visualized the trends Covid-19 data in India.

Used Streamlit to visualize the trends in various graphs and charts.

Visualized the trends and data categorically by the state such as +ve and -ve test cases, number of people who have got the vaccinations etc.

Was awarded 2nd prize in college project workshop for the Data Analysis and Data Visualization project titled: “Sahayog Bharath - An Online Covid19 Dashboard

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