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.

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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