Ishwar Bhoge

Designed and implemented 4 automation frameworks using Python and Robot Framework, achieving 50% reduction in test execution time. Automated end-to-end protocol regression testing for BACnet, Modbus, and SNMP protocols.

Developed and maintained a Python-based automation test framework for UNIX systems, achieving 85%+ code coverage and reducing manual testing efforts by over 60%. Integrated Jenkins CI/CD with Git version control, accelerating build cycles by 30%.

Led end-to-end development of the AIS-140 Vehicle Tracking System, ensuring regulatory compliance and successful deployment across 500+ logistic vehicles. Spearheaded design of a BLE-Based Smart Lock and developed a CAN Bus-based vehicle data extraction system.

Developed and deployed an AI-driven Automatic Vehicle Classification (AVC) system using TensorFlow, improving classification accuracy by 30%+ over legacy systems. Engineered an Automatic Number Plate Recognition (ANPR) system using OpenCV.

Developed an automated DC fan motor test bench, increasing testing speed by 40% and reducing manual QA efforts. Engineered a vision-based pattern matching system using Python and OpenCV, achieving 95%+ detection accuracy.

Currently pursuing M.Tech in Artificial Intelligence and Machine Learning, building expertise in AI-driven test strategies and predictive testing.

Completed M.Tech in VLSI with specialization in Embedded Systems from 2013 to 2017.

Completed Bachelor of Engineering in Instrumentation from 2008 to 2012.

Completed AWS Certified Cloud Practitioner (CLF-C01) Cert Prep: Cloud Concepts.

Completed Generative AI Fundamentals.

Completed Internet of Things (IoT) Fundamentals.

Completed Python Programming (MPC).

Completed Diploma in Embedded Systems.

Completed Project Management Foundations: Risk.