Gaddam Sreekeerthi
@gaddamsreekeerthi
Aspiring ML engineer focused on computer vision and IoT solutions.
What I'm looking for
I am an aspiring machine learning engineer with hands-on experience building computer vision and IoT systems that solve real-world problems. I developed an AI-powered surveillance system (VGG19+LSTM, YOLOv8, OpenCV) achieving 90%+ accuracy, a hybrid food recommendation engine using Python, TensorFlow and scikit-learn that improved recommendation accuracy by 25%, and an Arduino-based IoT automatic fish feeder that delivered fully automated operation.
I hold a B.Tech in Electronics & Communication Engineering from Vellore Institute of Technology and certifications including AWS Solutions Architect Associate and Python (IIT Bombay). I am committed to driving excellence, fostering innovation, and continually enhancing my skills through challenging projects and collaborative teams.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Self Employed
Developed ML-based projects including an AI-powered surveillance system (90%+ accuracy) and a hybrid food recommendation engine that improved recommendation accuracy by 25%.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology, Chennai
Bachelor of Technology, Electronics & Communication Engineering
2021 -
Activities and societies: Member, IEEE Robotics and Automation Society (RAS), VIT Chennai
Pursuing a Bachelor of Technology in Electronics & Communication Engineering at VIT Chennai from Aug 2021 to Jul 2025, focusing on embedded systems, signal processing, and machine learning projects.
Narayana Junior College, Nellore
Intermediate (MPC), Mathematics, Physics, Chemistry
2019 - 2021
Completed Intermediate (MPC) at Narayana Junior College, Nellore covering mathematics, physics, and chemistry preparation for engineering studies.
Dr. KKR Gowtham School, Nellore
Secondary School Certificate, Secondary Education
2018 - 2019
Completed Secondary Education at Dr. KKR Gowtham School, Nellore with foundational coursework across core subjects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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