Hi, I'm Akshwin T

ABOUT ME

Skills

  • Programming Languages: C, C++, Java, Python, SQL
  • Web: HTML, CSS3, JavaScript, Bootstrap, Flask
  • ML: NumPy, Pandas, Scikit-learn, Searborn, Plotly
  • DL: Tensorflow, Keras, PyTorch, OpenCV, YoloV4

Tools

  • Database Tools: MySQL, Oracle, MYSQL Workbench
  • Visualization Tools: Microsoft Power BI, Tableau, Google Colab
  • Cloud and deployment: AWS, Heroku, Streamlit

Software

Anaconda Navigator, Jupyter Notebook, VS Code, Microsoft Office

Hello! 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.

EDUCATION

VIT Logo

Vellore Institute of Technology

B.Tech in Computer Science and Engineering

2021 – 2025 | CGPA: 9.04
School Logo

Amrita Vidyalayam

Senior Secondary (CBSE) - PCM + CS

2019 – 2021 | Percentage: 95.8%

EXPERIENCE

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Summer Intern
Jun 2025 – July 2025

Gained real-world exposure to Astronomy and Astrophysics, where I actively learnt to use Astropy and DS9 tools to analyze complex astronomical data.

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E2PC Logo
Secretary - E2PC, VIT, Vellore
Jan 2024 – Dec 2024

I successfully organized and managed club events, efficiently handling the registration and attendance. I also proactively initiated a dynamic website for the club.

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Kuppi Logo
AI/ML Intern
Jun 2024 – July 2024

Researched 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.

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Extern
Jun 2024 – July 2024

I 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.

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Data Science Intern
Dec 2023 – Jan 2024

I 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.

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PROJECTS

Project 1 Image
Disturbance Storm Time Predictor

Developed an Advanced Deep Learning model using Quadratic Neurons to predict the Disturbance Storm Time from the data from NASA and NOAA.

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Project 2 Image
ICH Detector

Deveoped an Adanced Deep Learning model using Attention mechanism and Parabolic cone Activation Function to detect Intracranial Haemorrhage.

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Project 3 Image
Lane Detection using U-Net

Built a Cascaded U-Net architecture for Lane Detection with an enhanced segmentation accuracy of 96 % using Tensorflow and OpenCV.

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Project 4 Image
Tuberculosis Detector

Developed a Deep Learning model using Ensembling of various architecture to detect the Tuberculosis with an accuracy of 99% from CT.

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Project 5 Image
Pneumonia Detector

Built a Deep Learning model using Convolutional Neural Network with 94% accracy to detect Pneumonia from CT Scans.

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Project 6 Image
Brain Tumor Classifier

Developed a Deep Learing model using Transfer Learning with an accuracy of 97% to classify different types of Brain Tumor from and MRI.

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Project 6 Image
Alzheimers Disease Classification

Developed a Deep Learning model using Transfer Learning with an accuracy of 97% to classify different types of Alzheimers Disease from an MRI.

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Project 6 Image
Fruit and Vegetables Classifier

Developed a Deep Learning model using MobileNetV2 as base architecture with 95% accuracy to classify Fruits and Vegetables.

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Project 6 Image
Neuro Sentiment AI

Developed a Deep Learning model using an accuracy of 97% to classify different types of sentiments from text data.

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CERTIFICATIONS

Certification 4

AWS Academy Cloud Foundations

Completed: October 2023

Certification 1

AWS Certified Cloud Practitioner

Completed: February 2024

Certification 2

The Full Stack Data Scientist Bootcamp

Completed: June 2024

Certification 3

Artificial Intelligence Using Google TensorFlow

Completed: July 2024

CONFERENCES

Medical Imaging Conference

ICon-BCHIT 2024

Topic: Comparative Analysis of CNN Architecture with Transfer Learning for Brain Tumor Detection and Classification from MRI

Presented: December 2024
AI Healthcare Conference

IEEE INC4 2025

Topic: Cascaded U-NET Approach for Lane Detection in Autonomous Driving

Presented: March 2025

PUBLICATIONS

Medical Imaging Publication

Computer Specialized Cross Disciplinary Views on Communication, Life Skills

Publisher: L Ordine Nuovo Publication Published: June 2023
Autonomous Driving Publication

Artificial Intelligence in the Helm of Space Exploration and Discovery

Publisher: VIT University Published: June 2024
Medical Imaging Publication

Comparative Analysis of CNN Architectures With Transfer Learning for Brain Tumor Detection and Classification From MRI Scans

Publisher: IEEE Published: February 2025
Medical Imaging Publication

Malware Classification Using Machine Learning and Deep Learning: A Comprehensive Approach

Publisher: Cureus Jounral of Computer Science Published: July 2025

NEWSLETTER