BANDREDDY YASWANTH

AI & Robotics Software Engineer | Machine Learning Specialist
Nagayalanka, IN.

About

Highly motivated B.Tech student specializing in AI and Robotics with a strong foundation in machine learning, deep learning, and full-stack development. Proven ability to design and implement innovative solutions, including predictive models using LLMs and Transformer-based architectures, and efficient management systems. Eager to apply analytical skills and collaborative spirit to develop cutting-edge applications that deliver measurable impact.

Education

Vellore Institute of Technology
Chennai, Tamil Nadu, India

B.Tech with Specialization in AI and Robotics

Computer Science Engineering

Grade: 9.21 CGPA

Narayana Junior College
Vijayawada, Andhra Pradesh, India

Pre-University Course

Intermediate

Grade: 97.7%

Certificates

Oracle Cloud Data Management

Issued By

Oracle

Oracle Cloud AI Foundations Associate

Issued By

Oracle

Google Cloud Digital Leader

Issued By

Google Cloud

Google Cloud Computing Foundations

Issued By

Google Cloud

Skills

Programming Languages

C/C++, Java, Python.

Database Knowledge

MySQL.

Operating Systems

Windows, Linux.

Machine Learning & Cloud Platforms

Machine Learning, AWS, Google Cloud.

Non-Technical Skills

Time Management, Problem Solving, Teamwork, Adaptability.

Projects

Bitcoin Price Prediction incorporating News and OLHCV data

Summary

Developed an AI-powered predictive model for Bitcoin price fluctuations by integrating news sentiment analysis with historical Open-Low-High-Close-Volume (OLHCV) data, leveraging advanced time-series analysis and Large Language Models (LLMs).

GPS Tracking System

Summary

Designed and implemented an advanced GPS Tracking System for precise real-time location monitoring.

Recipe Recommendation System

Summary

Designed and implemented an intelligent chat-bot and web-based interface for personalized recipe recommendations, providing detailed preparation steps.

Canteen Management System

Summary

Engineered and deployed an RFID-based Canteen Management System to streamline operations and enhance user experience.