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Anaconda Navigator, Jupyter Notebook, VS Code, Microsoft OfficeHello! I'm Akshwin T, a Final year of Computer Science Student, passionate about Artificial Intelligence, Machine Learning, Deep Learning. With a strong foundation in Machine Learning, Deep Learning, Convolutional Neural Networks, and Transfer Learning, I am deeply engaged in exploring cutting-edge advancements like agentic AI and generative models. My expertise spans Deep Learning, Computer Vision, Natural Language Processing, and Cloud-based AI solutions, reflecting my commitment to pushing the boundaries of AI innovation.
As an AWS-certified Cloud Practitioner, I am deeply engaged in cutting-edge AI research with a strong focus on transformative fields such as medical imaging and space exploration. My work is driven by a commitment to harnessing the power of artificial intelligence to address real-world challenges and accelerate scientific progress. By bridging the gap between theoretical advancements and practical implementations, I strive to contribute meaningfully to the evolving landscape of AI.
Beyond my research endeavors, I am passionate about knowledge-sharing and mentoring the next generation of AI enthusiasts. I firmly believe that collaboration and open learning are key to driving innovation and shaping the future of technology. Let's connect on LinkedIn to exchange insights on Artificial Intelligence, Machine Learning, and Deep Learning—and to explore how we can make a positive impact together.
B.Tech in Computer Science and Engineering
2021 – 2025 | CGPA: 9.04Senior Secondary (CBSE) - PCM + CS
2019 – 2021 | Percentage: 95.8%Gained real-world exposure to Astronomy and Astrophysics, where I actively learnt to use Astropy and DS9 tools to analyze complex astronomical data.
View WebsiteI successfully organized and managed club events, efficiently handling the registration and attendance. I also proactively initiated a dynamic website for the club.
View CertificateResearched about the sericulture and poultry sector and the factors affecting both the domain. I analyzed the data and implemented a ANN to predict the desired result.
View CertificateI externed in AI with collaboration with Google to strengthen my skills in deep learning and real-world applications. As part of it, I built a dog breed classification model with a team.
View CertificateI did this remote internship during my learning stage where I applied transfer learning to buid a AI application to detect the Brain tumor and classify its type from MRI imaging.
View CertificateDeveloped an Advanced Deep Learning model using Quadratic Neurons to predict the Disturbance Storm Time from the data from NASA and NOAA.
Live PreviewDeveoped an Adanced Deep Learning model using Attention mechanism and Parabolic cone Activation Function to detect Intracranial Haemorrhage.
Live PreviewBuilt a Cascaded U-Net architecture for Lane Detection with an enhanced segmentation accuracy of 96 % using Tensorflow and OpenCV.
Live PreviewDeveloped a Deep Learning model using Ensembling of various architecture to detect the Tuberculosis with an accuracy of 99% from CT.
Live PreviewBuilt a Deep Learning model using Convolutional Neural Network with 94% accracy to detect Pneumonia from CT Scans.
Live PreviewDeveloped a Deep Learing model using Transfer Learning with an accuracy of 97% to classify different types of Brain Tumor from and MRI.
Live PreviewDeveloped a Deep Learning model using Transfer Learning with an accuracy of 97% to classify different types of Alzheimers Disease from an MRI.
Live PreviewDeveloped a Deep Learning model using MobileNetV2 as base architecture with 95% accuracy to classify Fruits and Vegetables.
Live PreviewDeveloped a Deep Learning model using an accuracy of 97% to classify different types of sentiments from text data.
Live PreviewCompleted: October 2023
Completed: February 2024
Completed: June 2024
Completed: July 2024
Topic: Comparative Analysis of CNN Architecture with Transfer Learning for Brain Tumor Detection and Classification from MRI
Presented: December 2024Topic: Cascaded U-NET Approach for Lane Detection in Autonomous Driving
Presented: March 2025Computer Specialized Cross Disciplinary Views on Communication, Life Skills
Publisher: L Ordine Nuovo Publication Published: June 2023Artificial Intelligence in the Helm of Space Exploration and Discovery
Publisher: VIT University Published: June 2024Comparative Analysis of CNN Architectures With Transfer Learning for Brain Tumor Detection and Classification From MRI Scans
Publisher: IEEE Published: February 2025Malware Classification Using Machine Learning and Deep Learning: A Comprehensive Approach
Publisher: Cureus Jounral of Computer Science Published: July 2025