Machine Learning | Deep Learning | Computer Vision | GenAI | C++
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Assessing your cultural and operational fit
SRMIST
Machine Learning
June 14, 2026 – Present
Basic-Q-A-Chatbot
September 14, 2025 – September 14, 2025
Basic-Q-A-Chatbot — GitHub repository
View ProjectThyroid-Nodule-Classification-Using-VGG16-model
September 5, 2025 – September 5, 2025
Thyroid-Nodule-Classification-Using-VGG16-model — GitHub repository
View ProjectEnsemble-Classifier-for-AMP-Identification
September 5, 2025 – September 5, 2025
Ensemble-Classifier-for-AMP-Identification — GitHub repository
View ProjectProto-ID
March 22, 2025 – March 23, 2025
ProtoID: Web3-powered secure digital identity solution. Privacy-first, decentralized identity verification.
View ProjectSmart-Crop-Diagnosis
January 30, 2025 – February 18, 2025
Smart-Crop-Diagnosis — GitHub repository
View ProjectEnsemble-Classifier-for-AMP-Identification
November 11, 2024 – November 12, 2024
Ensemble-Classifier-for-AMP-Identification — GitHub repository
View ProjectPixel-Crafter
October 19, 2024 – October 19, 2024
PixelCrafter is a deep learning project that uses Generative Adversarial Networks (GANs) to generate high-quality synthetic images from random noise. The project demonstrates the creative potential of neural networks in image generation and highlights the power of GANs in producing realistic and visually appealing outputs.
View ProjectSearching-Algorithm-DSA
October 2, 2023 – October 2, 2023
Searching-Algorithm-DSA — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on Machine Learning, which aligns with the target role. However, the projects are all personal and lack diversity in team collaboration or real-world application context. The experience section lists a current 'Machine Learning' role at SRMIST starting in 2026, which appears to be a future date or a typo, making it difficult to assess actual professional experience. The breadth of skills is somewhat limited to core ML tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is 0, and no psychometric or English test scores are provided.