About Me
Hello! I’m Anurag Hruday Pirangi, a Machine Learning Engineer and Robotics Enthusiast with a passion for pushing the boundaries of technology. With a Master’s degree in Robotics from the University at Buffalo, I specialize in deep learning, computer vision, and autonomous systems. My academic foundation is further strengthened by a Bachelor’s degree in Electronics and Communication Engineering from IIIT Guwahati, where I honed my problem-solving and engineering skills.
I’ve had the opportunity to contribute as a Machine Learning Engineer at Drishte A.I., where I developed machine learning models, optimized real-time analytics pipelines, and implemented edge AI solutions. Additionally, I advanced speech feature extraction techniques as a Research Intern at NIT Warangal, focusing on improving clarity and bandwidth in audio processing systems.
My projects include intelligent traffic signal control using reinforcement learning, autonomous navigation with LiDAR and SLAM, and a custom LLM for text-to-image generation. I am also pursuing research in background object detection, depth-aware object recognition, and augmented reality solutions for indoor environments.
Outside work, I enjoy exploring new technologies, engaging in outdoor adventures, and experimenting with creative tech projects. I believe in the power of curiosity and innovation to drive growth and make an impact.
Resume
Education
University at Buffalo
(2023 - 2024)
Master of Science
Robotics
Key Coursework:
- Deep Learning
- Computer Vision and Image Processing
- Analysis of Algorithms and Design
- Robotics Algorithms
- Pattern Recognition
- Introduction to Machine Learning
- Reinforcement Learning
- Robotics Control Systems
- Robotics 1
- Probability Theory
IIIT Guwahati
(2015 - 2019)
Bachelor of Technology
Electronics and Communication Engineering
Key Achievements:
- Research in AI applications in robotics
- Graduated with honors
Experience
Drishte A.I
(2019 - 2023)
Machine Learning Engineer
Key Contributions:
- Developed ML models with YOLO and Mask R-CNN.
- Optimized pipelines for real-time analytics.
- Integrated edge AI on Jetson Nano for low-latency processing.
NIT Warangal
(May 2018 - July 2018)
Machine Learning Engineer
Research Focus:
- Advanced speech feature extraction techniques.
- Optimized audio clarity and bandwidth for processing systems.
Projects
AR Object Detection
An attempt on transformer-based AR object detection.
Text to Image Generation
Repository for text-to-image generation using advanced AI models.
Style Transfer and Emotion Detection
Explores the impact of neural style transfer on human emotions.
Autonomous Navigation
Enables autonomous vehicle navigation using ROS-Noetic.
Intelligent Traffic Signal Control
Optimizes traffic signals using deep reinforcement learning.
Generative AI for Text to Image
Applies generative AI with cGANs and Latent Diffusion Models.