CapeStart

Working on NLP applications in Healthcare

Associate Machine Learning Engineer

The University of Winnipeg

• Optimized the server portal for image downloads, implementing modifications to improve efficiency.
• Experimented with the power law to assess its suitability in describing a machine learning model. 
• Showcased accomplishments during internship at a prestigious symposium. Effectively communicated complex concepts to a diverse audience, including professionals from various fields, at the 17th Annual Randy Kobes Undergraduate Poster Symposium.

Research Intern

Center for Advanced Data Science, VIT Chennai

• Developed a lane line detection model using Hough transform and OpenCV and attained 96.3% accuracy on straight roads and 90.4% on curved roads.
• Engineered speed sensor modules and integrated them with an automatic alerting system for dynamic vehicle speed adjustment based on lane conditions, enhancing overall safety and efficiency.
• Authored and published a research paper on this project at i-PACT'21

Summer Research Intern

TVS Training and Services Limited

• Contributed to vehicle assembly and engine dismantling procedures.
• Focused on the electric system of vehicles, acquiring hands-on experience and tools knowledge, especially with hand tools.

Internship Trainee

VIT Chennai Mechanical Engineering alum | Machine Learning Engineer at Capestart | Enthusiast at the crossroads of robotics and ML, driving innovation and exploring possibilities.

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