Peddapanjani Yogesh
@peddapanjaniyogesh
I build explainable machine learning systems and full-stack Java applications for real-world problems.
What I'm looking for
I've built a credit card fraud detection system using CNN, LSTM, Decision Tree, Random Forest, Stacking Classifier, and LIME to improve precision while keeping model decisions interpretable.
During my Full Stack Java internship at ExcelR, I developed and integrated Java backend services, strengthened API response handling and data flow, and worked on front-end, back-end, RESTful API, and deployment work in an agile team.
I'm a B.Tech graduate in Computer Science and Engineering focused on AI and Machine Learning, actively building skills in Generative AI, LLMs, prompt engineering, and API integration. I'm available to join immediately and open to remote opportunities.
Experience
Work history, roles, and key accomplishments
Full Stack Java Developer Intern
ExcelR
Jan 2024 - Dec 2024 (11 months)
Completed an intensive Full Stack Java internship, gaining practical experience in front-end and back-end development, RESTful APIs, and deployment pipelines. Developed and integrated backend services using Java, improving API response handling and data flow across application layers.
Education
Degrees, certifications, and relevant coursework
SV College of Engineering, Tirupati
Bachelor of Technology, Computer Science & Engineering (AI & ML)
2022 - 2025
Grade: 8.79/10 CGPA
Pursued a Bachelor of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, achieving a CGPA of 8.79 out of 10.
Government Polytechnic, Kalikiri
Diploma, Electronics and Communication Engineering
2019 - 2022
Grade: 77.41%
Completed a Diploma in Electronics and Communication Engineering with a percentage of 77.41%.
Zilla Parishad High School, Rompicherla
Secondary School Certificate, General Studies
2018 - 2019
Grade: 8.7/10 CGPA
Completed Secondary School Certificate (SSC) with a CGPA of 8.7 out of 10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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