Roshan Sahu

Developed and deployed a machine learning model predicting steel prices with 94% accuracy. Created a real-time alert system for price drop detection, optimizing purchasing decisions and reducing inventory losses. Engineered a market intelligence dashboard to analyze competitor pricing strategies, enhancing pricing competitiveness by 7%.

Implemented a JWT-based authentication system for over 100 users and built a real-time analytics dashboard tracking multiple metrics. Integrated Razorpay for e-commerce transactions and developed an admin panel for managing workout plans and blog articles.

Enabled real-time chat functionality with delivery status for 1:1 and group messaging. Supported file sharing for various types and tested uploads up to 10MB, enhancing user experience.

Developed a no-code workflow automation tool and implemented data processing to scrape and transform over 1,000 data points daily, improving operational efficiency.

Designed a retrieval-augmented generation system using LLaMA and Pinecone to answer medical queries with high accuracy. Implemented response validation techniques to significantly reduce incorrect responses.

Grade: 9.00/10

Pursuing a B.Tech in Electronics and Communication Engineering with a GPA of 9.00/10, focusing on advanced electronics, communication systems, and their applications in technology.

Grade: 95.7%

Completed Senior Secondary education under the CBSE curriculum with a focus on science and mathematics, achieving a percentage of 95.7%.