hi, i am sanjay subedi
software engineerI am a senior at Howard University majoring in Computer Science.
about me
I am a senior at Howard University majoring in Computer Science.
about meI am Sanjay. I am a senior student at Howard University pursuing Bachelor's in Computer Science.
GO BISON!
I am a creative developer with strong problem-solving skills and a high inclination toward Mathematics. I am proficient in Software Development and AI/ML technologies. I will be graduating in May, 2024. I am currently looking for 2024 entry level Software Engineering or AI/ML roles.
BSc. Computer Science
GPA: 3.88
Software Engineering & Machine Learning
Software Engineering: 4.0
Machine Learning: 4.0
I am returning software engineering intern. I will be working under Apple Store team.
Developed a React JS dashboard to consolidate test automation results from 40+ applications using a Java API and Cassandra database, simplifying quality management and reporting.
Achieved 90% accuracy in loan eligibility verification by implementing multiclass logistic regression on customer data and validating with matplotlib to analyze the relationship between annual income, employment length, and loan eligibility.
Built an e-commercial website where users can sign up or log in to book different packages for traveling to different parts of Nepal and designed Frontend using HTML and CSS and Backend using Python, Flask, and MongoDB.
Designed and developed a Swift UI iOS app with Back4App Parse to provide a reliable and affordable housing option for students during internships and academic years, contributing to one of the best UI designs for the Student Hive app at Howard University.
Utilized supervised learning techniques, conducted exploratory data analysis, implemented NLP techniques, developed and optimized deep learning models to achieve 80% accuracy, contributing to securing a top 9 rank amongst 25 teams.
As a Product Manager for a budgeting app for college students, conducted extensive market research to identify unmet needs, pain-points, and product desires, collaborated with cross-functional teams to develop the Market Requirements Documents, and Product Requirements Documents, and successfully pitched the product to a pool of Google PMs with a high-fidelity Figma prototype.
Taught college students 10 hours a week on various aspects of Mathematics and computer science including algebra, pre-calculus & calculus and evaluated students' learning styles, identified their strengths and weakness, and provided appropriate techniques for maximum understanding. Prepared students for their upcoming tests and exams by offering problem-solving techniques geared toward personal learning style.
As a B.A.S.E. Camp fellow, I was selected to participate in a multi-day, immersive learning experience hosted at Salesforce's Trailblazer Ranch in northern California. This program was designed for students to connect with other computer science majors from schools around the nation, participate in skill-building workshops, impactful volunteer activities, and learn more about early career opportunities in tech.
Designed and developed an innovative student housing app using Swift UI and Back4App Parse, aimed at addressing short-term rental problems and providing a seamless user experience for students.
Developed a thrifting clothing website utilizing HTML, CSS, and JavaScript for the frontend, and Flask Python and MongoDB for the backend to create a seamless user experience.
Developed Multi-CNN and Build embeddings machine learning models to classify real disaster tweets, pre-processed the data and achieved the best performance using embeddings-based model.
Cloned the BeReal app, a social media platform, using Swift and SwiftUI, showcasing our ability to implement complex features such as image uploading, profile picture changing, and user authentication.
Secured second place. Collaborated for 24 hours to develop a data-driven strategy for Starting With Today, a non-profit organization advocating for black wellness and liberation. Our proposal was based on thorough data analysis, wellness factors, target location, and future predictions.
Secured third place. Dove into the world of machine learning with Amazon DeepRacer. Our team had the privilege of competing in a reinforcement learning model challenge where we programmed a car to achieve one of the fastest times on the track.
Led the team of four participants. Completed programming challenges, competed against 100 other HBCU students, solved fundamental data structure/algorithm prompts in a collaborative environment.
Formulated an abstract of a project named iNutrify that helps to track the food by sending location based reminders if we eat out or by scanning the products through Camera's live Text feature and provides back the detailed health report.
Got selected for SWE Internship. Designed a website dedicated to a non profit organization that helps to calculate how much they owe during educational years and in how many years they can pay after graduation, helping them to make a decision for what major and in which university should they enroll as per their current economic status.
Designed an IOS app named 'Lost and Found' that uses Machine Learning to identify the lost or found items and matched it with the people looking for it based on the name and location.
