Python Machine
Resume:
Ansu Mathew
Email: ***********@*****.***
Mobile: +971-*********
Location: Dubai
Skills and areas of interests
Skills
Languages: Python, Matlab, C
Frameworks: Tensorflow, PyTorch, Keras, Scikit-Learn,Pandas, Matplotlib, Seaborn, Folium. Areas of interest
Machine learning
Computer Vision
Deep learning
Data visualization
Experience
July 2020 –till date
Projects
Enhancing machine learning skill in business intelligence through online courses (Licenses) and projects
Machine Learning
Build a model using logistic regression and decision tree to automate the loan eligibility process (real time) based on customer detail provided while filling online application form Github
Build a model to devise campaigns with better target marketing to increase the success ratio with a minimal budget Github
Data Visualization
Performed visualization to summarize the results of a survey that was conducted to gauge an audience interest in different data science topics.
Plotted a Choropleth map of the crime rate in San Francisco Research Scholar Indian Institute of Science Aug 2018 – Jun 2020 Highlights
PhD student, Video Analytics lab, IISc
PhD research area: 3D scene understanding with minimal supervision using artificial intelligence
Completed 13 credits with 9 GPA as part of coursework
Research paper on 3D Reconstruction accepted at CVPR 2020
Led a team on a project on understanding convolution neural networks for 3D tasks
Guided team members for improving 3D reconstruction by introducing novel losses
Hands on experience in implementing Principle Component Analysis, LDA, Linear and Logistic Regression, Decision Tree, Random Forest, Adaboost, GradientBoost, SVM, Clustering, neural networks, convolutional neural networks, Resnet, GAN losses. Projects &
publications
Deep learning
Understanding convolution neural networks for 3D tasks [Python, PyTorch]
Improving 3D point cloud reconstruction by introducing novel losses [Python, Tensorflow]
From image collections to point clouds with self-supervised shape and pose networks[Python,TensorFlow]
o Performed 3D reconstruction and pose estimation in a self-supervised manner.Imposed 3D geometric and pose consistency loss between point clouds for training. Utilized k nearest neighbor(knn) samples from train set as pseudo viewpoints o Publication: Our work "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks has been published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 1132-1140(Video,Code)
3D point cloud reconstruction of objects using a single image [Python, Tensorflow] o Aims to reconstruct a 3D shape from a single image with known pose. GAN loss introduced for enforcing the constraint that multiple views need to come from the same 3D object o Explored the relationship between 2D image flipping and 3D rotation Machine learning
Gaussian mixture model for audio classification [Python] Computer vision
Motion segmentation [Python]
o Used motion to extract objects or regions of interest from a background of irrelevant details o Implemented background subtraction, temporal integration, hierarchical segmentation, K- means clustering on optical flow vectors, optical flow and Otsu thresholding
Pose estimation of the brick [Python]
o Detected the brick against any background irrespective of its orientation and dimensions in the image and estimated its pose
Assistant Professor Manipal Institute of Technology Jul 2015 – Jul 2018 Highlights
Assistant Professor in the Mechatronics department
Main subjects - Machine Vision and Image Processing, Digital Signal Processing, Digital Integrated Circuits and Control Systems
Integral member of the curriculum development team for the Mechatronics department
Took the lead in designing machine vision experiments for the newly commissioned robotics lab
Conducted workshop on 'Sherlock', a machine vision software as part of faculty development
Procured A+++ (highest rating) for excellence in teaching in 2017 Projects &
publications
Computer vision
An Investigation of Burr formation and cutting parameter optimization in Micro Drilling of Brass C-360 using Image Processing. Publication in Advances in Intelligent Systems and Computing 828, pp. 289-302 [Matlab]
o Developed an image processing technique to measure the burr size and hole circularity Internship AMD India Pvt. Ltd. Jul 2014 – May 2015 Highlights
Developed a framework for power management in battery constrained systems
Designed a Register Transfer Logic model for the Motion Estimation (ME) block of H.264
Developed a simulation model of H.264 using MATLAB to track performance uplifts
Runner up for the project submission entitled “Improving energy efficiency of Video Conferencing using Co-operative power management”, for Software Innovation Day, 2015 Projects &
publications
Computer vision
Exploiting loop perforation for improving motion estimation performance of video encoders. Publication in ARPN Journal of Engineering and Applied Sciences 10(17), pp. 7539-7544. Also, Presented at AMD Asia Technical Conference [Matlab] o Performed optimization on Matlab and Verilog
Education
The University of Texas at Austin 2020 - 2021
Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications by The McCombs School of Business
Indian Institute of Science 2018 - 2020
Robert Bosch Centre for Cyber Physical Systems, PhD Research Scholar
Course work: GPA – 9 /10 (completed 2 years of studies in pursuit of PhD in deep learning before discontinuing the program due to logistical constraints)
Subjects – Random Process, Digital Image processing, Deep Learning for Computer Vision, Neural Networks & Learning Systems and Autonomous Navigation
Cochin University of Science and Technology 2013 - 2015
Electronics, M.Tech, GPA – 9.3 /10
Secured second rank for M.Tech
Amal Jyothi College of Engineering 2008 - 2012
Electronics and Communication Engineering, B.Tec, Aggregate course percentage – 78.48%
Selected for Director’s Honors list (top 5 students in academics) consistently in every semester
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