Satya Narayana
@satyanarayana
AI/ML engineer building practical intelligent systems using Python and modern tooling.
What I'm looking for
I am a self-motivated AI/ML engineer with hands-on experience building practical solutions using Python and modern libraries. I enjoy solving real-world problems with effective, proven strategies and a focus on deliverable results.
My projects include a terminal-based AI coding assistant that generates boilerplate code and manages project structure, and a smart parking system using OpenCV to detect and visualize parking slot status from live camera feeds. I integrate backend databases and create context-aware tools to streamline development workflows.
I have strong working knowledge of supervised and unsupervised learning, optimization techniques, model evaluation, and data preprocessing, and I am comfortable leveraging frameworks like Django and libraries such as NumPy, Pandas, and Scikit-learn. I also work with containerization tools and databases to deploy and manage applications.
I am seeking opportunities to expand my knowledge, collaborate with professional teams, and develop powerful intelligent systems that produce measurable impact.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer
Personal Projects
Jan 2024 - Present (1 year 11 months)
Built a terminal-based AI coding assistant to generate boilerplate code and manage project structure, and developed a computer-vision smart parking system that detects slot occupancy from live camera feeds without physical sensors.
Education
Degrees, certifications, and relevant coursework
Anurag University
Bachelor of Technology, Computer Science, Artificial Intelligence and Machine Learning
2022 -
Grade: CGPA: 9.12
Pursuing a B.Tech in Computer Science with specialization in Artificial Intelligence and Machine Learning, focusing on ML models, OpenCV, and full-stack integration.
Sri Chaitanya Junior College
Higher Secondary Certificate, Higher Secondary (Science)
2020 - 2022
Grade: 87.5%
Completed higher secondary education with a focus on science subjects, achieving 87.5% overall percentage.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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