Vineet Kushwaha
Noida
Summary
Dynamic Senior Machine Learning Engineer with a proven track record at FYND, specializing in deep learning and real-time object detection. Expert in Keras and TensorFlow, I enhanced user experiences through innovative algorithms, achieving a 20% improvement in style quality. Passionate about leveraging technology to solve complex problems and drive impactful results.
Overview
10
10
years of professional experience
1
1
Certification
Work History
SENIOR MACHINE LEARNING ENGINEER
FYND (Shopsense Retail Technologies)
Noida
09.2019 - Current
- Spearheaded training and deployment of nail segmentation model using YOLOV8 architecture.
- Developed algorithm for rendering nail paint to enhance try-on experience.
- Designed object-detection model for acne and scar identification, optimizing real-time frame brightness classification.
- Achieved landmark stabilization through Optical flow and Lucas-Kanade tracking; implemented Kalman filter for predictions.
- Engineered algorithm predicting eye frame sizes using user depth and iris data integration.
- Developed custom MobileNet V2 backbone for wrist detection and landmark-confidence scoring; built semi-automated 3D annotation tool.
- Fine-tuned HairCLIPv2 on 5K-image dataset for 10 hairstyle categories, improving style quality score by 20%.
- Engineered controller application for game control via human gestures using PoseNet model.
RESEARCH ASSISTANT
IAB lab,IIIT Delhi
New Delhi
10.2017 - 03.2018
- Developed Disguised dataset comprising 11,000 images for face recognition in unconstrained environments.
- Organized inaugural international workshop on Disguised Faces at CVPR.
- Published research paper at IEEE Conference on Computer Vision and Pattern Recognition Workshops.
ANDROID APPLICATION DEVELOPER
Cube26 Pvt Ltd
Delhi
10.2015 - 05.2017
- Developed Reos Android application suite, enhancing functionality across multiple platforms.
Created Reos News application to deliver timely information and updates.
Engineered Bluetooth-controlled smart bulb application, optimizing user experience and connectivity.
Designed Reos Lite app, focusing on lightweight performance for mobile devices.
Constructed Reos Camera application, implementing advanced features for photography enthusiasts.
Education
Bachelor of Science - Information Technology
The Technological Institute of Textile And Science
03-2015
Skills
- Deep learning and machine learning
- Keras, TensorFlow, and PyTorch
- OpenCV and Pillow
- Machine learning integration
- Pandas and NumPy
- Matplotlib and Scikit-learn
- Python, C, and Java
- LLM and GPT models
- GANs and diffusion models
- Transformers and Hugging Face
- Ray Serve and Azure CI/CD
- MLFlow and Kubernetes
- Docker
Publication
- V Kushwaha, M Singh, R Singh, M Vatsa, N Ratha, R Chellappa. Disguised Faces in the Wild
Certification
Computer Vision Nanodegree Neural Networks and Deep Learning.
C++ Essential Training. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization.
Timeline
SENIOR MACHINE LEARNING ENGINEER
FYND (Shopsense Retail Technologies)
09.2019 - Current
RESEARCH ASSISTANT
IAB lab,IIIT Delhi
10.2017 - 03.2018
ANDROID APPLICATION DEVELOPER
Cube26 Pvt Ltd
10.2015 - 05.2017
Bachelor of Science - Information Technology
The Technological Institute of Textile And Science
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