INDRAJEET YEDDALA

Hybrid AI Framework for Load Forecasting and Workload Optimization for Energy-Efficient Data Centers: The system achieves reduced latency, balanced server utilization, improved scalability, high availability, and lower energy consumption in data center operations. Skill and concepts demonstrated: Time series forecasting 

Web Text Editor & Highlighter: A browser text editor extension that lets users select text on any webpage to apply bold, underline, or formatting via a floating toolbar, saves automatically, and restores them when the page is reopened. DOM Manipulation with UI

An Automated Machine Learning approach for Phishing Detection: A phishing detection system that analyzes URLs and SMS messages to identify, classify, and alert users about potential phishing attempts in real time. Skill and concepts demonstrated: AutoML in Cybersecurity Analytics

Gained a strong foundation in computer networking concepts including network architectures, IP addressing, subnetting, and routing fundamentals. Developed an understanding of network protocols, switching, and basic network security principles, enabling the ability to design and troubleshoot small-scale networks.

Learned the fundamentals of Model Context Protocol (MCP) for building structured, context-aware AI applications. Explored techniques for managing interactions between large language models and external tools, improving reliability, scalability, and contextual consistency in AI-driven systems.

Acquired knowledge of designing and implementing AI agents capable of autonomous decision-making and task execution. Covered core concepts such as agent architectures, tool usage, memory handling, and real-world applications of agent-based systems in automation and problem-solving.

Developed foundational expertise in Natural Language Processing (NLP), including text preprocessing, tokenization, sentiment analysis, and basic machine learning techniques for language understanding. Gained hands-on exposure to working with textual data using Python-based libraries.

Learned the fundamentals of mobile application development using Python frameworks. Built basic Android applications with an understanding of UI design, event handling, and integration of backend logic, focusing on rapid prototyping and cross-platform development.

• Data Science Workshop IIT HYD 2023 - A two-day hands-on workshop on Python and its applications in ML.
• 24 Hour offline National Level Hackathon MCET 2025 - A project demonstrating Waste Management system.
• Machine Learning Workshop BITS HYD 2023 - Explored core concepts of ML (RL, DL) from industry expert.
• Cybersecurity Workshop MCET 2025 - Learned practical implementation of attacks and their types.
• OITB Taltransforms TALTRANSFORMS 2023 - Pitched on Innovation and Ideation in Heath care.

Ph.No: 9493167949

LeetCode - https://leetcode.com/u/VrCZG0WaDy/

Dev.To - https://dev.to/indrajeet_yeddala_61221be

Medium Blogs - https://medium.com/@indrajeetyeddala2004