Manas Joshi

Professional Summary

Highly skilled and dedicated Computing Science student with a strong capacity for collaborative work and a keen interest in developing innovative projects. I offer proficiency in a broad range of computer languages and technologies. My career objective is to leverage my technical skills and collaborative experiences to contribute to cutting-edge projects in the field of computing science.

TECHNICAL SKILLS

Computer Languages: Proficient in Python, Julia, RISC-V Assembly, C, C++, JavaScript, Bash, HTML/CSS.

Framework: Demonstrated expertise in TensorFlow, RL-Glue, Scikit-learn, Django, Flask.

Technologies: Proficient in Git, MySQL, Leafletjs API, and OpenWeather API.

PROJECTS

SkyNav — Python, Scikit-learn, Flask, JavaScript, HTML, CSS

Developed a sophisticated real-time navigation system, SkyNav, aimed at guiding small aircraft, helicopters, and drones towards their destination in a secure and efficient manner.

Math-Vision-Model — Python, TensorFlow, Matplotlib

Constructed a machine learning model that leverages probabilistic distribution in TensorFlow to predict characters in images. Utilized Python and Matplotlib for comprehensive data visualization and analysis.

Math-Vision-OCR — Python, TensorFlow

Created a user-friendly GUI that pulls models from my database and employs the model’s character prediction to solve simple mathematical equations.

natHACKS 2023 - Video Game — Unity, C#, C++

Contributed to the development of a novel video game, which personalizes the player’s experience based on their ECG data to create unique gameplay dynamics.

EDUCATION

University Of Alberta — Second Year — BSc Hons Computing Science

Sept 2023 - April 2024

Relevant Coursework: CMPUT 272: Formal Systems and Logic CMPUT 267: Basics of Machine Learning CMPUT 204: Algorithms I CMPUT 229: Computer Organization/Architecture I CMPUT 365: Reinforcement Learning

OPG World School, New Delhi, India — Grade 11 & 12

April 2021 - March 2023

COLLABORATIVE EXPERIENCE

Participated in a team of four at HackED 2025, contributing to the development of SkyNav, a pioneering navigation technology for small aircrafts.

Contributed to a supervised imitation learning of the Forest classifier model used for determining optimal routes and incorporating an interactive real-time route on the server side using Leaflet.

Engaged in a team of five at natHACKS 2023, contributing to the video game development.

Led Arduino Development for project “NightMare”, which collects the user’s heartbeat using a bioAMP pill via the device.

INTERESTS

Keen interest in collaborative project development.

Passionate about fitness and regular workouts at the gym.