Karremolla Tharun
@karremollatharun
Ambitious software engineer with a passion for machine learning
What I'm looking for
I am a driven and detail-oriented individual with a strong foundation in computer science and engineering. My experience in back-end development, front-end development, and databases has equipped me with a unique perspective on software development. I have worked on various projects, including a real-time parking space detection system using YOLO v5 and a machine learning model to predict delivery times for an e-commerce platform.
Throughout my academic journey, I have consistently demonstrated my ability to learn and adapt to new technologies and concepts. My coursework in data structures and algorithms, object-oriented programming, and machine learning has provided me with a solid understanding of the fundamentals of software development. I am excited to apply my skills and knowledge to real-world problems and contribute to innovative projects.
In addition to my technical skills, I possess excellent soft skills, including teamwork, problem-solving, and delivering results. I am a quick learner, and my strong work ethic enables me to work effectively in a team environment. I am eager to continue learning and growing as a professional and am excited about the opportunity to work with like-minded individuals who share my passion for technology and innovation.
Experience
Work history, roles, and key accomplishments
Front End Developer
Sri Chaitanya Junior Kalasala
Jan 2018 - Jan 2022 (4 years)
Developed front end applications using HTML, CSS, and worked on projects like Parking Space Detection.
Machine Learning Developer
SunFlower High School
Jan 2017 - Jan 2018 (1 year)
Developed machine learning models to predict delivery times for an e-commerce platform.
Education
Degrees, certifications, and relevant coursework
Guru Nanak Institutions Technical Campus
B.Tech, Computer Science and Engineering
2020 - 2024
Grade: 7.41/10
Activities and societies: Developed a real-time parking space detection system using YOLO v5 algorithm, implemented the YOLO v5 model in Python to detect vehicles in various parking lot scenarios
Pursued B.Tech in Computer Science and Engineering
Sri Chaitanya Junior Kalasala
Intermediate, MPC
2018 - 2020
Grade: 9.77/10
Completed Intermediate with MPC
SunFlower High School
High School
2017 - 2018
Grade: 9.2/10
Completed High School
Availability
Location
Authorized to work in
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