Ragasudha ss Raj
@ragasudhassraj
Fresher AI Engineer building production-grade Computer Vision, NLP, and multimodal GenAI systems that ship end-to-end.
IndiaWhat I'm looking for
I’m a fresher AI Engineer focused on building production-grade Computer Vision, NLP, and multi-modal GenAI systems. I’ve delivered end-to-end work with Python and frameworks like PyTorch, TensorFlow, Flask/FastAPI, and Hugging Face—turning models into usable applications.
In my BridgeGuard AI project, I engineered a YOLOv8-based real-time bridge defect detection pipeline achieving 92.6% mAP and integrated ESP32-CAM/drone feeds with a live Flask dashboard (~25 fps), plus automated PDF reports. During my Infosys Springboard internship, I owned EcoPackAI end-to-end—training Random Forest and XGBoost (XGBoost reaching 94.2% precision) and building a Flask REST API with a Bootstrap front-end backed by PostgreSQL. I’m also hands-on with data workflows from my KNIME internship, where I automated 6 pipelines and reduced weekly reporting time by ~60%—and I enjoy scaling AI products that solve real problems.
Experience
Work history, roles, and key accomplishments
AI Intern (EcoPackAI)
Infosys Springboard
Nov 2025 - Jan 2026 (2 months)
Developed EcoPackAI end-to-end, training and benchmarking Random Forest and XGBoost; XGBoost reached 94.2% precision and outperformed Random Forest by 2.8% F1-score. Built a Flask REST API with a Bootstrap front-end and integrated PostgreSQL for product data storage, recommendation history, and analytics.
Automated six end-to-end data processing workflows in KNIME, replacing manual Excel pipelines and reducing weekly reporting time by ~60%. Connected KNIME workflow outputs to Excel dashboard templates so non-technical stakeholders could refresh and interpret reports independently.
Education
Degrees, certifications, and relevant coursework
Kangeyam Institute of Technology
B.Tech, Artificial Intelligence and Data Science
2022 - 2026
Grade: CGPA: 8.58
Pursuing a B.Tech in Artificial Intelligence and Data Science, graduating in 2026. CGPA reported as 8.58.
MN. Murugappa Chettiar Girls HSS
HSC, Higher Secondary
Grade: 85.5%
Completed HSC (Higher Secondary) with a reported score of 85.5%.
Thirumurugan Matric HSS
SSLC, Secondary Education
Grade: 83.6%
Completed SSLC (Secondary School Leaving Certificate) with a reported score of 83.6%.
Availability
Location
IndiaAuthorized to work in
Portfolio
ragasudhasel.github.io/portfolioJob categories
Skills
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