Eswar Pavan Maganti

Dynamic and innovative Computer Science graduate with an intense curiosity in problem solving and machine learning. Proficient in a wide range of technical skills, willing to collaborate on impactful ideas and experiences.

AI-Based-Stock-Trading-Bot

  • Implemented Created an AI system to optimize stock trading strategies in real-time by analyzing market data and making informed trading decisions.
  • The system continuously learns from market trends and adapts strategies to maximize profitability.

Dynamic Hand Gesture Recognition

  • Pioneered dynamic hand gesture identification with emphasis on ASL and bespoke gestures.
  • Integrated cutting-edge technologies (MediaPipe, cvzone, HandDetector), revolutionizing gaming through a practical Rock-Paper-Scissors demonstration.

GPU Accelerated Realtime Face Mask Detection

  • GPU-accelerated real-time facemask detection using MobileNetV2 architecture
  • Trained on "Face Mask 12K Images Dataset" with transfer learning.
  • Achieved 95% detection accuracy and processed 60 frames per second on NVIDIA RTX 3060 GPU.
  • Improved real-time facemask detection capabilities using GPU-accelerated computing.
  • Enhanced detection speed and accuracy with MobileNetV2 architecture.

Virtual Sketch Using OpenCV

  • Developed an interface between colored markers in human hand and system by deploying OpenCV techniques in Python to pick color and draw by capturing motion of colored object in hand.
  • Published work in International journal of Innovative Technology and Exploring Engineering (IJITEE), Volume 10, Issue 8.

Fruit Recognition, INDIAN SERVERS

  • Implemented CNN Algorithm in Python for fruit identification and its Ripeness classification.
  • Presented final output on a webpage with help of Flask.

About Me 💻


I am Eswar Pavan Maganti, a dedicated Computer Science professional with a strong educational background and practical experience in various domains.


Professional Experience💼

Machine Learning Intern, Indian Servers, Vijayawada, India: -

  • Implemented supervised and unsupervised algorithms like Linear Regression, SVM, and k-means clustering.
  • Utilized libraries including NumPy, Keras, Pandas, and Flask.

Data Science Intern, Exposys Data Labs, Bengaluru, India: -

  • Applied clustering techniques for customer segmentation.
  • Visualized data distributions and analyzed customer demographics.

Education📚

  • Master of Science in Computer Science from the University of Texas, Arlington, with a CGPA of 4/4.
  • Bachelor of Technology in Computer Science and Engineering from VRSEC, Vijayawada, India.

Interests🌟

  • Passionate about problem-solving and machine learning.
  • Actively involved in mentoring, volunteering, and community participation.

Contact Information