Tejashwini Nityanand Godyal
Computer Science Engineering student skilled in C/C++, Python, and React.js
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Tasks completed
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Average score
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Certificates
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Badges
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Internships & jobs
About
I am a Computer Science Engineering student passionate about AI, ML, and full-stack development. I have developed lightweight transformer models for medical image segmentation and published research on fine-grained image recognition. Through my internship, I gained hands-on experience building backend APIs with FastAPI and managing workflows with Git and Jenkins.
Skills
Experience
Intern · Dvara Solutions Pvt Ltd
Jan 2026 – May 2026
Internship
Worked on Munify Funding Platform connecting municipalities and lenders. Gained experience with FastAPI for backend APIs and business logic. Used Git and Jenkins for version control.
Projects
Ensemble and Attention Mechanisms for Fine-Grained Image Recognition
Developed an ensemble framework integrating EfficientNet-B0, DenseNet-121, and ResNet-152 augmented with CBAM. Achieved 94.25% accuracy on CUB-200-2011 dataset; published in CRM 2025.
PVT-MiniUNet: A Lightweight Transformer for Colon Polyp Segmentation
Developed a lightweight segmentation framework using PVTv2-B2 encoder with Mini-UNet decoder for precise polyp boundary detection. Achieved Dice score of 0.9550 and IoU of 0.9158 on Kvasir-SEG dataset.
Education
KLE Technological University, Hubli
Bachelor of Engineering, Computer Science and Engineering
2022 – 2026 · CGPA - 9.3
SRA Composite PU college, Banhatti
Pre-University
2020 – 2022 · Percentage - 97.17%
SRA High School, Banhatti
SSLC
2020 · Percentage - 97.44%
Certifications & achievements
Juniper Networks Certified Associate, Junos (JNCIA-Junos) · Juniper Networks
Certification
NPTEL – Programming in Java · NPTEL
Certification