Years of education
Research Papers
Technical Certifications
Languages - English, Telugu, Hindi
A results-driven computer science graduate specializing in the development of practical, high-impact solutions in AI and backend systems. Passionate about transforming theoretical concepts into scalable, production-ready applications while continuously strengthening technical expertise through rigorous, hands-on implementation. Recognized for contributing effectively within collaborative environments by combining strong analytical reasoning with a solid foundation in core computer science principles. Core competencies include Machine Learning, Python programming, and advanced problem-solving.
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.
Anthropic: Introduction to Model Context ProtocolLearned 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.
DataCamp: Introduction to AI AgentsAcquired 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.
Analytics Vidhya: Introduction to Natural Language ProcessingDeveloped 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.
SimpliLearn: Android App Development using PythonLearned 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.
Whatsapp Number +91 94931 67949
LeetCode - https://leetcode.com/u/VrCZG0WaDy/
Dev.To - https://dev.to/indrajeet_yeddala_61221be
Medium Blogs - https://medium.com/@indrajeetyeddala2004