Sai Madhav Reddy Challa
CSE-AIML Student | Python & Java | Exploring Agentic AI
Hyderabad,India
I'm a Computer Science and Engineering student specializing in AI and Machine Learning at Sreenidhi Institute of Science and Technology. I enjoy learning by building projects, experimenting with new developer tools, and exploring how AI can solve practical problems. I work with Python and Java and am exploring agentic AI development using Strands Agents, Google ADK, Gemini CLI, and AI-assisted development tools. Through my hands-on experiments and technical writing, I've been learning about tool use, API integration, Model Context Protocol (MCP), agent safety, and multi-agent workflows. I use AWS Builder Center to document my learning journey, share practical insights, and deepen my understanding of AI agent development. I'm particularly interested in building reliable AI applications, improving my software engineering skills, and understanding how AI systems move from prototypes toward real-world use. I'm always looking to learn from the developer community, exchange ideas, and turn what I learn into meaningful projects.
Data Analytics Intern
ApexPlanet Software Pvt. Ltd.
- Completed a 13-week Data Analytics internship involving assigned analytical tasks, project development activities and practical learning exercises. Worked on data preparation, exploratory data analysis, sales performance dashboards, business intelligence and statistical validation as part of my internship project work.
Once Upon Agentic AI — Multi-Agent D&D Game Master
An experimental AI project exploring how multiple specialized agents can collaborate to create an interactive Dungeons & Dragons Game Master experience. Built with Python and AWS Strands Agents, the project explores agent coordination, custom tools such as dice mechanics, and integrations involving Amazon Bedrock, MCP, A2A and FastAPI. Developed as a hands-on learning project to understand tool-using agents and multi-agent workflows.
Sales Performance Analytics & Interactive BI Dashboard
A data analytics project focused on transforming sales data into clear, actionable business insights. The portfolio explores data preparation, exploratory analysis, customer segmentation, sales performance metrics, interactive visualizations and hypothesis validation. It demonstrates how data analysis can help reveal patterns in revenue, customer behaviour and business performance.
ShopQ — AI-Powered Shopping Decisions
ShopQ is an AI-assisted shopping decision system designed to help users compare products and make more informed purchasing decisions. The project brings together product comparison, price-history analysis and decision-support logic to make online shopping research easier. It explores the application of AI and data-driven methods to a practical consumer problem.
Computer Science and Engineering — Artificial Intelligence and Machine Learning (CSE-AIML)
Sreenidhi Institute of Science and Technology (SNIST)
Copado Certified — Copado AI
Copado
Jul 2026AWS Cloud Practitioner Essentials
AWS Training & Certification
Sept 2026
Attendee · Oct 24, 2026