As a dynamic and dedicated software engineer, I am fueled by an unwavering passion for cutting-edge technology and its potential to drive positive change. With a robust background including an enriching internship at InMovidu affiliated by IIT Bombay and industry-recognized certifications from Microsoft, I possess a diverse skill set spanning software engineering, machine learning, and project management. Noteworthy among accomplishments is leading a pioneering project on predictive analytics for olive oil production, showcasing ability to leverage technology for societal impact. Thriving in collaborative environments, I adeptly harness technical acumen to architect innovative software solutions that tackle complex challenges. Committed to continuous professional development, I am eager to contribute to forward-thinking organizations that champion innovation and offer avenues for career advancement.
Fishes are an integral part of marine ecosystem. Our objective is to classify various species of fishes by building Deep Learning models. MobileNetV2 can be used for building a model.
This prediction helps farmers to know when to grow the Olive crop and where to grow this crop, using machine learning algorithms we are predicting the productivity of Olive oil. The algorithms are key part helps predict the productivity accurately.
The project helps to detect the fraud transactions location and helps in catching criminals.
This project is to improve the security of ATM Systems with the help of IRIS confirmation on ATM Systems.
Engaged in co-organizing workshops hosted by the CHIPSET and SYNERGY student clubs at our College, contributing to the success of educational initiatives.
Demonstrated proficient communication and organizational aptitude through collaborative efforts with a team to strategize and implement initiatives effectively.