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Dev Khant

@devkhant

Message

BTech 3rd year in Computer Science. Kaggle 4x Expert. Building projects around NLP and CV.

India

Message

I have been exploring and working on data science for the last 1.5 year. I am a 4x Kaggle Expert. I have worked on Deep learning, Machine Learning and its libraries(Tensorflow, Keras, PyTorch, Scikit-learn). I have also worked on AWS and Azure for deployment. I have good knowledge about State-Of-The-Art algorithms in Computer Vision and NLP. I have exposure to MLOps as well where I worked on integration of MLflow and Explainable AI.

Experience

Work history, roles, and key accomplishments

Current

MLOps Intern

Current

Polymerize

Nov 2022 - Present (2 years 7 months)

• Integrated Explainable AI for regression and classification models.
• Reduced Machine Learning API response time by 20%.
• Working on classification models for imbalanced dataset.

Python MongoDB fastAPI Machine Learning

Machine Learning Intern

AiBorne

Jul 2022 - Oct 2022 (3 months)

• Developed a custom Object Detection + OCR model for reading Digital Odometer. The mAP for the detection model was 96%.
• Integrated MLflow for model tracking and Data pipeline for Classification tasks. The classification model was trained on 30+ classes.
• Worked on Instance Segmentation and Object Detection using Pytorch. Integrated Detection Transformer(DeTR) for instance segmentation.

Python PyTorch Computer Vision Deep Learning Machine Learning

Deep Learning Intern

ResoluteAI

Apr 2022 - Jul 2022 (3 months)

• Worked on Object Detection and Background Removal using Tensorflow.
• Used YOLO for Object Detection and OpenCV for tracking and counting objects, mAP achieved here was 97.5%. During Inference test video ran at around 50 FPS.
• Deployed 2 POCs using Streamlit and Flask. One project was to detect defects in fabrics and other was to extract table from receipts. Pytesseract was used for OCR.

Python TensorFlow Machine Learning Computer Vision