Manjunath Reddy
@manjunathreddy
Aspiring AI developer focused on sustainable technology solutions.
What I'm looking for
My name is Manjunatha Reddy Yanamala, and I am a passionate computer science graduate specializing in Artificial Intelligence and Machine Learning. With a GPA of 7.82/10 from Kalasalingam Academy of Research and Education, I have developed a solid foundation in coding and data analysis. My coursework has equipped me with the skills necessary to tackle critical challenges, particularly in climate change and healthcare accessibility.
Throughout my academic journey, I have engaged in various projects, including a hotel recommendation system and adaptive traffic signals, which have honed my problem-solving abilities. I am currently pursuing certifications in Microsoft Azure AI Fundamentals and SQL, further enhancing my technical expertise. My internship experience in web development at Teechnook has also provided me with practical skills that I am eager to apply in real-world scenarios.
Experience
Work history, roles, and key accomplishments
AI Solutions Developer
Self-Employed
Passionate about developing AI solutions to tackle challenges in climate change and healthcare. Engaged in projects like traffic anomaly detection and sustainable water management using IoT technologies.
Web Development Intern
Teechnook
Completed a summer internship focused on web development, where I gained hands-on experience in creating and maintaining web applications. This role enhanced my coding skills and understanding of web technologies.
Education
Degrees, certifications, and relevant coursework
Kalasalingam Academy of Research and Education
Bachelor of Technology, Computer Science and Engineering
Grade: 7.82/10
Activities and societies: Certifications in Microsoft Azure AI Fundamentals (ongoing), SQL and Relational Database (IBM), and Matlab (MLOps).
Studied Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning. Completed relevant coursework in AI applications, deep learning, and predictive analytics. Achieved a GPA of 7.82/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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