Yogesh Sai Choudary Manne
@yogeshmanne
Computer Science student building data-driven computational intelligence and ML solutions.
What I'm looking for
I’m a final-year B.Tech student in Computer Science and Engineering with a research orientation toward Computational Intelligence, Machine Learning, and Data. I focus on developing data-driven and reproducible frameworks that address real-world challenges, backed by strong coursework in Deep Learning and Artificial Intelligence.
As a Developer Intern at Skillbanc, I contribute to SkillBanc Academy, a brain-inspired learning ecosystem for learners from Nursery to Grade 12. Previously, at Bitsilica, I built Python-based GUI automation using Tkinter and PySimpleGUI to improve usability and efficiency, and I’m actively working on Gen-AI wear monitoring for multimodal sensor degradation prediction using PyTorch and HuggingFace.
I’ve also engineered a medical imaging pipeline for mediastinal lymph node segmentation on NIH CT scans using U-Net variants with anatomical priors, achieving reliable metrics. I lead a 50+ member Growth Community through workshops and hackathons, and I received a scholarship of Rs. 5,25,000 for academic performance.
Experience
Work history, roles, and key accomplishments
Developer Intern
Skillbanc
Jan 2026 - Present (3 months)
Contributed to the development of SkillBanc Academy, a brain-inspired academic platform serving learners from Nursery to Grade 12 within a unified learning ecosystem.
Summer Intern
Bitsilica
Jun 2024 - Jul 2024 (1 month)
Designed and implemented Python-based GUI applications using Tkinter and PySimpleGUI to automate file formatting and conversion tasks, improving usability and efficiency.
Education
Degrees, certifications, and relevant coursework
ICFAI Foundation for Higher Education
Bachelor of Technology (B.Tech), Computer Science & Engineering
2022 -
Grade: CGPA 8.64/10
Activities and societies: Coursework includes Deep Learning, Artificial Intelligence, and Quantum Computing.
B.Tech in Computer Science & Engineering (2022–2026) with coursework in Deep Learning, Artificial Intelligence, and Quantum Computing. Earned CGPA 8.64/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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