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Adithya S.T.Software Engineer
Email
adithya.2018​@vitalum.ac.in
Phone
9840983499
https://adithyaportfolio.lovable.app
Location
Chennai
LinkedIn
www.linkedin.com/in/adithya-st
Medium
https://medium.com/@adithya1010
GitHub
https://github.com/adithya1010
Profile

Energetic student eager to apply knowledge of project coordination and completion to achieve company goals. Dedicated to working hard and smart to make positive contributions. Open to learning new technologies, trends and sharing knowledge to those around me

Education
AI with Machine Learning Short Term Skill Program, Naan Mudhalvan Finishing School⁠
  • • Learnt about Supervised Learning, Unsupervised Learning, Reinforcement Learning in this course
  • •Have completed projects related to each topic and have also given presentations on topics related to AI
    • Dec 2024 – Mar 2025Chennai, India
    M.Tech Software Engineering, Vellore Institute of Technology⁠
  • •CGPA-7.09
    • 2018 – 2023Chennai, India
  • •Passed with 89.17% (1070/​1200)
    • 2016 – 2018Chennai, India
    Secondary Education, Chinmaya Vidyalaya⁠
  • •Passed with 8.1 CGPA
    • 2011 – 2016Chennai, India
    Work Experience
    Post Graduate Engineer Trainee, HCLSoftware⁠

    Learnt about AIOPS tools like Ansible, Nginx, ServiceNow, WSL and also digital workspaces like Google Workspace and Microsoft Workspace

    Feb 2024 – May 2024Chennai, India
    Machine Learning Intern, Orinson Technologies⁠

    Developed models for object detection, predicting numerical values and performance of students using datasets from Kaggle and tools like Tensorflow, Numpy, Pandas

    Aug 2024 – Sep 2024Chennai, India
    AI Software Engineer, Abhinaya Limited⁠
  • •Worked on DocAssist – an AI-based support application for managing patient and doctor interactions
  • •Performed QA testing and debugging, improving app stability and performance
    • Jul 2025Chennai, India
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  • •Used Git for version control and collaborated with the team via GitHub and Jira
    • Skills
    Python
    Java
    PowerPoint
    HTML/CSS
    C++
    Word
    Notion
    JavaScript
    Languages
    English
    Tamil
    Hindi
    French
    Publications

    Simple project to demonstrate Web Scraping using Python

    A Guide to install WSL 2 and run GUI apps on Windows devices

    Certificates
    Projects
  • •Trained the model using CNN to classify tumors in Brain MRI Images and at the end obtained a prediction accuracy of upto 93%
  • •This project was done as part of the Data Mining course in fulfillment of my degree
    • Feb 2023 – Mar 2023
  • •Built a Student Performance Prediction Model using dataset from Kaggle and used visulaization techniques like Boxplot and Histogram to better understand the data
    • Aug 2024 – Sep 2024
  • •Built a Customer Satisfaction Prediction Model using dataset from Kaggle and performed One-Hot Encoding, Random Forest and performed GridSearchCV. Evaluated the model using Recall Score, Accuracy Score, F1 Score
    • Feb 2025 – Feb 2025
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