About

Kartik Khandelwal is a Machine Learning Engineer at Digio.in with 6 months of industry experience. He is a Kaggle Master and specializes in Deep Learning. Kartik has created over 2 dozen interesting notebooks on Kaggle with a rank less than 150 out of 0.2 million and has earned more than 15 medals on it, including 4 gold and 5 silver. He is proficient in Python, Pandas, Numpy, Sklearn, Matplotlib, Seaborn, Plotly, TensorFlow, Keras, Scikit-Learn, OpenCV, Pillow, and has expertise in Deep Learning, Computer Vision, and NLP. Kartik has worked on various projects at Digio.in, including developing a model to eliminate fake and unwanted selfies using ResNet50 architecture, trained on 0.1M images, which increased accuracy from 81% to 96%. He has also developed a Photo-ID Card detection model for Aadhar, PAN, VoterID, DL, and Cheque using Yolov5 Object Detection. He has created a Face Detection model using MTCNN and Deepface and applied diverse Image Preprocessing Techniques to get Facial Encodings. Additionally, he has designed a Face Match Pretrained Model from scratch using FaceNet, Siamese Network, and Triplet Loss Function. Kartik has completed two Advance Level Projects during his Data Science Internship at letsgrowmore, including Handwritten Equation Solver and Facial Recognition that suggests songs accordingly. He was also the ML/AI Lead at Google Developer Student Club, where he completed all challenges and received 213 badges, 47 trophies, and reached level 12 with 1 reputation point. Kartik has a Bachelor of Technology in Computer Science from Dayalbagh Educational Institute, where he will graduate in 2023. He completed his 10th and 12th grades at Gayatri Public School in Agra. Kartik has experience with MySQL, Flask, AI, Azure, and DevOps. Overall, Kartik Khandelwal is a skilled Machine Learning Engineer with a strong background in Deep Learning and Computer Vision. He has completed several challenging projects and has a proven track record of success in the industry.