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Yogesh Sai Choudary Manne

@yogeshmanne

Computer Science student building data-driven computational intelligence and ML solutions.

India
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What I'm looking for

I’m looking for an entry role where I can build reproducible ML/data solutions, work on computational intelligence and real-world datasets, and collaborate with teams that value research-driven impact.

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

SK
Current

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.

Education

Degrees, certifications, and relevant coursework

IE

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.

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