VENKATESH
Python Developer
SUMMARY
Python Developer and AI Enthusiast with 2+ years of self-learning experience in developing web applications and solving real-world business problems. Skilled in Python, Django, REST APIs, AI Tools, Prompt Engineering, and Machine Learning fundamentals, with knowledge of secure authentication systems (OAuth2/JWT).
Developed a real-world Dental Clinic Management System (DCMS) to digitize paperwork, manage patient records, and improve clinic workflow efficiency. Passionate about learning new technologies, building AI-powered solutions, and creating innovative products that solve practical challenges.
Quick learner with strong problem-solving skills, adaptability, and continuous learning mindset. Seeking an opportunity as a Fresher Python Developer / AI Engineer to contribute technical skills, creativity, and modern development knowledge in a growth-oriented organization.
INTERNSHIP EXPERIENCE
Python Developer
Sharpenmind Technologies
- Developed a real-time driver drowsiness detection system using Python, OpenCV, NumPy, and MediaPipe for safety monitoring applications.
- Implemented facial landmark and eye-point tracking to detect eye closure, blinking patterns, and driver fatigue from live camera frames.
- Built a real-time monitoring system that captured video frames continuously and triggered alerts, notifications, and SOS warnings when the driver’s eyes remained closed for more than 5 seconds.
- Designed a GUI-based application to display live detection results and API responses without integrating IoT hardware devices.
- Applied image processing and feature extraction techniques to improve detection accuracy and performance under different lighting conditions.
- Used modular and structured Python programming practices with Git and GitHub for project management, testing, and documentation.
Machine Learning Engineer
Elysium Technologies
- Built a strong foundation in Python programming and gained practical experience with machine learning libraries such as NumPy, Pandas, and Matplotlib.
- Implemented basic machine learning models using structured and randomly generated datasets for feature filtering, preprocessing, and analysis.
- Applied data preprocessing techniques including data cleaning, grouping, visualization, and noise reduction to improve model performance.
- Worked with supervised, semi-supervised, and unsupervised learning methods while exploring algorithms such as KNN and SVM.
- Developed class-based Python applications using object-oriented programming concepts, inheritance, reusable functions, and Data Structures & Algorithms (DSA).
- Used PyTest, Git, and GitHub for testing, version control, project management, and maintaining proper project documentation following SDLC practices.