SAI RAMA KRISHNA REDDY BATHENA

A highly motivated and skilled individual with hands-on experience in computer networks, software development, and technical support. Proven track record as an Undergraduate Teaching Assistant for Computer Networks, demonstrating strong organizational skills, the ability to prepare and manage course materials, and a commitment to student success through effective tutoring and feedback. Gained extensive training in Java and SQL during an internship at WIPRO Technologies, where I also acquired practical knowledge of networking. As a Graduate Engineer Trainee at HCL Technologies, successfully worked on the COSMOS service, gathering user requirements, analyzing, and developing workflows for a major client. Possess a blend of technical proficiency, problem-solving abilities, and a passion for continuous learning and professional growth.

• IEEE paper on Bit torrent protocol
• Agile Methodology workshop by Cognizant
• Certification on Database design and SQL by Oracle and TASK
• Certification on Python by Udemy

• Computer Communication and Networks
• Big Data Analytics
• Software System Design Implementation
• Database Systems
• Algorithms and Datastructures
• Data Management
• Object Oriented Programming
• Java
• Python
• Computer Organization
• Probability & Statistics
• Computer Networks
• Operating Systems
• Data Analytics

Drivers' Drowsiness Detection and Warning Systems for Critical Infrastructures 

Duration: April 2022 - June 2022

• Technologies Used: Python, Machine Learning, Data Structures, Database Systems
• Description:Developed and implemented a system capable of detecting and alerting, in real-time, the driver's level of fatigue.
  The system makes the driver aware of the assumed danger when their level of driving and decision-making is reduced, indicating a sleep break as the necessary approach.
  By monitoring the state of the human eyes, signs of driver fatigue can be detected early enough to prevent possible road accidents, which could result in severe injuries or fatalities.
  

IEEE paper on BitTorrent protocol

• Duration: June 2021
• Description:Co-authored an IEEE paper on the BitTorrent protocol, analyzing the impact of various parameters like upload bandwidth, swarm size, start time, and first chunk time on download performance. Conducted simulations using NS2 and real-world tests with the libtorrent-rasterbar client to understand these factors. The study demonstrated the importance of optimized peer and piece selection strategies for enhancing download efficiency. Provided insights into BitTorrent's performance that can drive future improvements in P2P protocols and systems.