Resume

About Me

Lifelong learner fascinated by the universe's beauty, from particles to galaxies and I apply this curiosity to my studies and life experiences. With a solid background in Computer Science, I'm a problem solver who tackles challenges and seeks innovative solutions. My interests lie in AI Models and Web Development.

Education

Vellore Institute of Technology Sept 2020 – Aug 2024
BTech in Computer Science with Specialization in Data Science CGPA: 8.94/10
Maharishi International Residential School July 2018 – June 2020
Central Board of Secondary Education. Aggregate of 95% in PCM CBSE: 91.2/100

Internships

Honeywell Aerospace Jan 2024 – July 2024
SWE Intern Hyderabad
- Built Dashboards on Monitoring Data Availability for NextGen Flight Efficiency.
- Built Automation Suites for Integrated Navigation Data Service.
Cipla May 2023 – July 2023
Data Science Intern Mumbai
- Built Prescriptive ML Models and worked on Optimization Algorithms.
- Built Python scripts converting unstructured complex data to uniformed dataframes and databases
Monocept Jan 2023 – Mar 2023
Machine Learning Intern Remote
- Improvised performance of data transformations using polars..

Technical Skills

Languages: Java, Python, SQL
Frameworks and Packages: Pandas, Seaborn, Sklearn, TensorFlow, Streamlit, React JS.
Tools: GitHub, Azure Databricks, Figma, Microsoft Office.
Soft Skills: Technical Writer, Leadership, Decision Making.
Coursework: Machine Learning, Deep Learning, Natural Language Processing, Calculus.

Projects

Medical Query AssistantApril 2023
- Fine-tuned the GPT-2 language model on a medical query dataset.
- Trained the model on a collection of medical queries and responses, gaining specialized knowledge in the medical domain.
Diagnosing Lung X-raysDecember 2022
- Achieved an accuracy of 95% on training and 89% on testing.
- Developed a front-end using Streamlit App for image upload and prediction report generation.
FaceDetectAIMarch 2023
- Developed a face detection and recognition system using deep learning techniques.
- Leveraged computer vision techniques and deep neural networks for face detection and recognition in images.
Insurance PredictionJuly 2022
- Conducted Explanatory Data Analysis (EDA), Feature Selection, Model Building, and Performance Measurement.

Publications

Mathematical Principles behind Generative AI ModelsMar 2024
Book Chapter, Springer
Application of Blockchain in Medical IndustryAug 2023
Book Chapter, CRC Press: Taylor & Francis
Diagnosing Lung X-rays using Deep learningDec 2022
IEEE Conference

Leadership/Extracurricular

Sahiti -TLAMarch 2023 – March 2024
- Head of Events, Student Club, VIT University
- Conducted several events and led the Rivera 2023 and 2024 fests.
TechXChange IBMFebruary 2023 – Present
- Technical Writer, IBM Community
- Member of Global AI and DS.