Ajay Bashetti

Software Developer

Dynamic and results-driven software developer with experience at leading tech firms Cisco and Cognizant. Specialized in full stack web development and Python scripting for network and system automation.

About Me

Professional Summary

Adept at cross-functional collaboration and driving measurable performance gains. Eager to contribute to high-impact engineering teams with a growth and innovation mindset.

Currently working as an Engineer Trainee at Cognizant Technology Solutions, delivering full-stack solutions for Energy & Utilities clients. Previously completed a technical apprenticeship at Cisco Systems, where I gained valuable experience in network optimization and backend development.

Bangalore, India
+91 95276 59939
ajaybashetti@gmail.com

Work Experience

Oct 2024 – Present

Engineer Trainee

Cognizant Technology Solutions, Pune
  • Delivered full-stack solutions for an Energy & Utilities client using Java and React.js
  • Designed RESTful APIs and improved application scalability through efficient backend logic
  • Developed Python scripts to support internal network optimization and automation tasks
  • Collaborated in Agile sprints; used Git and Postman for version control and testing
🏆 Client Appreciation Award for exceptional project delivery
Sep 2023 – Sep 2024

Technical Apprentice

Cisco Systems Pvt Ltd, Bangalore
  • Built a training portal using MERN Stack; improved backend performance by 30%
  • Worked in the Cisco MDS team, focusing on network optimization through Python scripting
  • Gained CCNA Certification during the apprenticeship to strengthen networking expertise
🏆 Top Performer Award for backend impact

Technical Skills

Languages

JavaScript Python Java Go

Frameworks

React.js Node.js Express.js TensorFlow

Databases

MongoDB MySQL Firebase

Tools & Cloud

Git Docker AWS CI/CD Postman VS Code

Featured Projects

ChatGPT Task Automation Interface

Built secure automation dashboard using React.js, Python, and OpenAI API. Implemented NLP-based logic and role-based UI with JWT authentication and CI/CD deployment pipelines.
React.js Python OpenAI API JWT CI/CD
50%
Efficiency Gain
100%
Secure
NLP
Powered

Sign Language Communication Bridge

Real-time gesture recognition system using Python, TensorFlow, and React.js. Capstone project that achieved high accuracy for gesture-to-text conversion, improving accessibility for sign and non-sign users.
Python TensorFlow React.js Computer Vision ML
85%+
Accuracy
Real-time
Processing
Capstone
Project