YASHWIN PARACKAL PRAKASH

Computer Science Engineering graduate specializing in AI and seasoned Prompt Engineer with a solid background in data science and software engineering. Demonstrated proficiency in developing robust, scalable software solutions, including full-stack applications and data pipelines. Expertise in machine learning, deep learning, NLP, and statistical modeling enhances collaboration with interdisciplinary research teams to translate complex requirements into efficient technical solutions. Committed to advancing research and education through the adoption of modern software development practices and innovative digital tools.

• Data Science & Analytics - 02/2025
• Deloitte-Data Analytics Job Simulation -02/2025
• Red Hat Certified System Administrator – OpenStack, 11/2022
• Basics of Web Development, 01/2022
• Generative AI Basics – Openweaver Studio, 12/2023

Available upon request

Identifying the Abnormalities in Retinal Images Towards the Prediction of Cardiovascular Disease Using Deep Learning, IEEE WiSPNET 2024 Conference – Chennai, 10.1109/WiSPNET61464.2024.10532859

URL: https://ieeexplore.ieee.org/document/10532859/

• President – Microsoft Club, Sathyabama Institute, 06/23 - 09/24

-Conducted multiple seminars and tech events inside campus for the club

-Organized various technical interactive events including Techno Summit, a technical fest with a footfall of

over 2000.

-Conducted and managed seminars, tech events, and large-scale technical fests such as Techno Summit.

• Volunteer English Tutor – Chennai Higher Secondary School, 01/23, 04/23, facilitated English learning for over 120 students using games and group learning
• MUN Delegate – VITCMUN, 03/23
• Winner – Elocution Competition (Plastic-Free India), Airports Authority of India, 09/19

CVD Risk Assessment through retinal fundus images. Oct’23 - April'24

• Goal: To develop a website to calculate the risk factor of a person prone to cardiovascular disease by using

retinal images and certain basic personal information to develop a CNN model and train it using deep-

learning models such as VGG-16 and Resnet-50.

• Wrote a research paper for WiSPNET-2024, technically co-sponsored by the IEEE, at Sri Sivasubramaniya

Nadar College of Engineering (SSN).

EasyPeasy - a NLP based solution for ADHD diagnosed. Sep'22 - May'23

• Developed a monitoring interface using live proctoring integrated with NLP algorithms to help ADHD

diagnosed. Created an application with built in live video proctoring and throw real-time alerts on identified

specific behavior.

• Wrote a research paper and received the Best Paper award at ICRTCCE-2023 (SIMATS Engineering

College).