Venkatesh Uddavolu
Hyderabad
Summary
With 6+ years of experience in the IT industry, specialized in Computer Vision and Data Science. Proficient in Python, excel at creating customized models and effectively implementing them. Demonstrated strong leadership skills and a passion for finding groundbreaking solutions in the field of computer vision.
Overview
6
6
years of professional experience
Work History
Solution Leader
BRANE Enterprises
12.2021 - Current
- Implemented Live Streaming using WebRTC & HLS, from edge device to User Applications and achieved low latency
- Developed Producer Consumer architecture for AI model inferencing resulted in 3x times faster inference
- Guided team in building AI models for violation detections such as Motion Detection, Tampering, Person Tracking
- Experimentation with 3D Convolutional Neural Networks (CNN) and Spatial Temporal Models for video analysis
- Designed and integrated backend services to support AI models deployed as APIs and WebRTC infrastructure.
Data Scientist
INVENSIS Technologies
10.2020 - 07.2021
- Utilized U-Net architecture for image segmentation to isolate products from background
- Implemented ResNet for accurate image classification of identified products
- Development on client requirements and write test cases for existing functionalities
- Built tracking algorithm using custom object detection (YOLO V4) and integrated with Deep Sort Algorithm.
Associate Data Scientist
TensorGo Technologies
06.2019 - 01.2020
- Develop Proof-of-concept implementations to prove out functionality and performance of CV algorithms
- Evaluate visual user interface advancements with data from real users in real world environments
- Research and prototype techniques and algorithms for object detection and recognition.
Associate Data Scientist
Appstek Corp
10.2018 - 06.2019
- Created a Proof of Concept to detect road quality and assist riders by retraining pre-trained models (Mobile SSD, Faster RCNN, etc.) with custom data using TensorFlow.
- Developed a Python program to extract driver's facial key features, detect attention levels, and alert the driver accordingly which reduces road fatality by 50%.
Software Test Analyst
IBM
07.2016 - 10.2017
- Ensured consistent performance of previously developed and tested software after changes or new software integrations
- Tested feature enhancements for stacking orders in Legacy Architecture Flow to improve flexibility, revenue, and ordering efficiency
- Tested features for Voice over Protocol and VPN with high-speed bandwidth support, writing test cases and coordinating with clients and development teams.
Education
Data Science -
INSOFE
Hyderabad06.2018
Bachelor of Technology Information Technologies -
GITAM University
Visakhapatnam04.2014
Skills
- Python
- Pandas
- Numpy
- Machine Learning
- Deep Learning
- Flask
- SQL
Timeline
Solution Leader
BRANE Enterprises
12.2021 - Current
Data Scientist
INVENSIS Technologies
10.2020 - 07.2021
Associate Data Scientist
TensorGo Technologies
06.2019 - 01.2020
Associate Data Scientist
Appstek Corp
10.2018 - 06.2019
Software Test Analyst
IBM
07.2016 - 10.2017
Data Science -
INSOFE
Bachelor of Technology Information Technologies -
GITAM University
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