Software Engineering • AI/ML • Cloud Applications

Building intelligent, scalable software that turns data into useful products.

I’m Chekuri Yaswanth Kumar, a Computer Science and Business Systems graduate from VIT with hands-on experience building AI-powered dashboards, cloud-hosted platforms, full-stack applications, and machine learning solutions.

IEEEPublication
200+Coding Problems
AWSCloud Projects
Chekuri Yaswanth Kumar

Chekuri Yaswanth Kumar

Software Engineer & AI Developer

PythonAWSMLFull Stack
LSTM Forecasting
AWS Cognito + RDS
Random Forest

About

Computer Science graduate focused on product-minded engineering.

Yaswanth combines computer science fundamentals with business systems thinking to create practical applications that solve real user problems. His projects span AI-powered business intelligence, task management systems, agricultural advisory tools, and web platforms.

He is currently preparing for master’s programs in the United States and positioning his profile around software engineering, AI/ML, cloud computing, and data-driven product development.

Featured Work

Selected engineering and AI projects

Case-study style project summaries built around problem, approach, and impact.

Cloud / Full Stack

AGILEBOARD – Task Management System

Built a cloud-hosted task management platform with secure authentication, role-based access, REST APIs, AWS RDS, S3 storage, and Elastic Beanstalk deployment.

ImpactDelivered a scalable task-management experience with automated cloud provisioning and reliable user/task data handling.
HTMLCSSJavaScriptPHPMySQLAWS

Machine Learning / Product

FARM INTEL

Developed an agri-advisory platform that recommends the top crops based on soil NPK values, location, real-time weather, land area, and crop budgeting inputs.

ImpactSupported farmer decision-making through ML-based crop recommendations, weather context, lab locator, and budgeting modules.
PythonStreamlitPandasRandom ForestSQLiteWeather API

Publication

Published IEEE research in AI-powered business intelligence.

IEEE

Beyond the Chart: AI-Powered Storytelling in Business Intelligence Dashboards

Co-authored and published in the Proceedings of the 4th IEEE International Conference on Sensors and Related Networks, July 2025.

DOI: 10.1109/SENNET.2025.11135936

View IEEE Publication

Capabilities

Technical foundation across software, cloud, and AI.

Programming

C++, Python, MySQL

Cloud & AWS

EC2, S3, RDS, Elastic Beanstalk, Cognito, IAM

Web Development

HTML, CSS, JavaScript, PHP

AI / Data

TensorFlow/Keras, LSTM, Random Forest, Pandas, Streamlit, OCR, NLP

Tools

Git, VS Code, Google Gemini API, OpenWeatherMap API

Strengths

Problem solving, communication, collaboration, fast learning

Education

Vellore Institute of Technology

B.Tech in Computer Science and Engineering — Business Systems

GPA: 8.24 / 10.0 • 2022 – 2026

Achievements

  • Solved 200+ coding problems across LeetCode and GeeksforGeeks.
  • Qualified Round 2 in TCS CodeVita 2025 with global rank 493.
  • Selected for Round 2 in Agri-Hack at VIT for FARM INTEL.

Certifications

Professional learning and credentials

Aug 2024

Microsoft Azure AI-900

Foundational AI concepts, ML workflows, and Azure AI services.

July 2025

MySQL Implementation Certified Associate

MySQL setup, architecture, and essential SQL operations.

Contact

Let’s connect.

Open to graduate opportunities, research-aligned projects, software engineering internships, and AI/ML product work.

yaswanthkumarchekuri@gmail.com