ANGAJALA VEERALINGESWARA
@angajalaveeralingesw
I'm building Python and AI applications, from computer vision systems to full-stack recommendation platforms.
What I'm looking for
I've built AI and full-stack applications including a virtual mouse powered by real-time hand tracking and gesture recognition using Python, OpenCV, MediaPipe, and computer vision.
For a TCS iON industry project, I developed a Smart Movie Recommender with Flask, HTML, CSS, and the TMDB API, delivering personalized recommendations and improving API response time through caching.
I've also developed a hybrid deep-learning CCTV surveillance system for face-based criminal identification using TensorFlow, OpenCV, NumPy, and CNN models. This work was published in the International Journal of Engineering Science and Advanced Technology.
Through internships with DATAVALLEY and SKILLDZIRE, I've built Python web applications, REST APIs, responsive interfaces, and machine-learning workflows using MySQL, Pandas, NumPy, and Scikit-learn.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Skilldzire
Analyzed and processed datasets using Python, Pandas, NumPy, and Scikit-learn while performing data cleaning, feature engineering, and exploratory data analysis. Developed machine learning models and automated analytical workflows to generate insights and improve prediction accuracy for real-world applications.
Python Full Stack Development Intern
Datavalley
Developed scalable web applications using Python, Flask, HTML, CSS, JavaScript, and MySQL while implementing REST APIs and responsive user interfaces. Optimized backend performance through caching mechanisms, database operations, API integration, debugging, and Git-based version control following Agile development practices.
Education
Degrees, certifications, and relevant coursework
A. M. Reddy Memorial College of Engineering & Technology
Bachelor of Technology, Computer Science & Engineering
2022 -
Grade: 71.71%
Pursuing Bachelor of Technology in Computer Science & Engineering with an aggregate of 71.71%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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