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AI Engineer with less than a year in Deep Learning, NLP & Web Development
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An aspiring AI Engineer currently pursuing a B.E. in Computer Science and Artificial Intelligence Engineering. Proven ability to implement advanced deep learning frameworks for image segmentation and multimodal language models for text synthesis from radiology images. Possesses a strong foundation in Python, TensorFlow, PyTorch, and web development, coupled with practical experience in building responsive web applications. Demonstrated leadership and coordination skills through extracurricular activities.
KLE Technological University Hubballi
B.E · Computer Science and Artificial Intelligence Engineering
August 1, 2022 – June 30, 2026
Siddaganga PU Science College, Davanagere
Pre-University
N/A – May 31, 2022
Prasiddhhi English Medium, Hagaribommanahalli
Karnataka Secondary Education Examination Board (KSEEB)
N/A – May 31, 2020
Bridging the Synthetic-Real Gap: Unsupervised Domain Adaptation for Cross-Domain Image Segmentation
January 1, 2022 – January 1, 2026
Implemented an unsupervised domain adaptation framework using DeepLabV3+ with ResNet-101 for cross-domain segmentation. Trained on synthetic GTA5 and adapted to Cityscapes using adversarial learning and pseudo-labeling. Achieved a mIoU of 55.80%, surpassing state-of-the-art UDA methods. Published in the Proceedings of INCOFT 2025, Pune.
Radiology Image-to-Text Synthesis using Multimodal Large Language Models
January 1, 2022 – January 1, 2026
Built an AI system to generate clinical summaries from radiology images using MedViT and BioGPT. Integrated cross-attention and projection layers to align visual and textual features across X-ray, CT, and MRI modalities. Synthesized diagnostic reports to streamline workflows and align with medical terminology. Accepted and published in the Proceedings of ETTIS 2025, Organized in Noida.
ElderNet: A Web-Based Helpline Platform for Senior Citizens
January 1, 2022 – January 1, 2026
Built a responsive web app to assist seniors with services like transport, healthcare, groceries, and pension info. Added features like old age home locator, cab booking, and real-time access to government schemes. Integrated easy navigation, blog content, and service discovery for elderly users and caregivers. Built using HTML, CSS, and JavaScript with a mobile-first design approach for accessibility and ease of use. Deployed the application via GitHub Pages for public access and community outreach.
Bridging the Synthetic-Real Gap: Unsupervised Domain Adaptation for Cross-Domain Image Segmentation
INCOFT 2025
January 1, 2025 – Present
Radiology Image-to-Text Synthesis using Multimodal Large Language Models
ETTIS 2025
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a blend of advanced AI research and practical application (ElderNet), indicating a diverse interest. The academic publications suggest a drive for innovation and contribution. However, the lack of professional experience and team-based project descriptions limits the assessment of cultural fit in a corporate environment. The ElderNet project shows an interest in community-oriented solutions, which could align with socially responsible company cultures.
Soft Skills & Operational Fit
The candidate's extracurricular activities suggest leadership, coordination, and decision-making skills. The project descriptions indicate an ability to work on complex problems and deliver functional solutions. However, without specific behavioral assessment data, a comprehensive evaluation of operational fit and soft skills is limited.