Teja Priya Vardhineni
Austin,Texas
Summary
Machine Learning Engineer with5+ years of experience developing and deploying efficient deep learning and computer vision applications, including expertise in neural network optimization for edge devices.
Overview
6
6
years of professional experience
Work History
Research Engineer II
Blaize Semiconductor
07.2019 - 05.2024
- Worked on deploying various CNN architecture (SSD , Mobilenet, Yolov3, Yolov5 , Resnet50,U-Net,Florence) for classification, detection and segmentation tasks on hardware platform
- Developed and optimized Neural Network Models using Pytorch and TensorFlow, implementing quantization and kernel development for efficient hardware utilization
- Contributed for Model translation and optimized tool called Netdeploy for converting Pytorch/Tensorflow models to hardware specific representation using various graph-based optimizations
- Integrated Deep Leaning Models in to Blaize - low code environment called AI-Studio along with optimized pre and post processing modules
- Developed and implemented hardware-specific optimized kernels for neural network operators, resulting in2x faster inference time on target hardware
- Designed and implemented a Python-based Image Signal Processing library, supporting15+ common computer vision operations and efficient implementation of the kernels
- Implemented and validated Federated Learning solutions for distributed training, preserving data privacy
- Played a key role in demonstrating the MultiModa Small Language model Florence for a demo showcased at the AI-edge HW Summit2024
- Played a key role in evaluating gaps in existing hardware features with detailed analysis performed on precision requirements and suggested features for the next-gen hardware
- Developed and Integrated OCR with hw specific optimizations for a particular customer requirement
Software Development Intern
Genotypic Technology
09.2018 - 03.2019
- Developed and launched a Python-based GUI tool that automated the FASTQ file conversion process, reducing manual processing time by70%
- Enhanced tool capabilities by integrating advanced NGS analysis features
Education
Bachelors - Biotechnology
National Institute of Technology
05.2017
Post-Graduate Diploma - BioInformatics, genomics, and Big Data Analytics
Siddaganga Institute of Technology
05.2019
Full-time course - Artificial Intelligence, Machine Learning, and Data Science
Hyderabad School of Artificial Intelligence
06.2019
Skills
- Technical Skills
- Languages: Python, C, C, R, SQL
- ML/DL frameworks : PyTorch, TensorFlow, Keras, sci-kit-learn, OpenCV
- Computer vision :- Image Processing , OCR , Gstreamer
- Deep Learning :- CNN, Transformer , Large Language Model, Federated Learning
- Development Tools
- Version Control & CI/CD: Git, Jenkins
- Environment: Linux/Unix, VS Code
- Project Management: JIRA, Confluence
Timeline
Research Engineer II
Blaize Semiconductor
07.2019 - 05.2024
Software Development Intern
Genotypic Technology
09.2018 - 03.2019
Post-Graduate Diploma - BioInformatics, genomics, and Big Data Analytics
Siddaganga Institute of Technology
Full-time course - Artificial Intelligence, Machine Learning, and Data Science
Hyderabad School of Artificial Intelligence
Bachelors - Biotechnology
National Institute of Technology
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