Software Engineer (Senior Analyst)

• Jul 2021 - Present

Course Producer

• Aug 2020 - May 2021

CSCI 567 - Machine Learning• Graded assignments.• Resolved student queries regarding mathematical and programming concepts.• Set the RMSE baselines for the Kaggle challenge.

Research Assistant

• Feb 2020 - May 2021

Interaction Lab Project: Infant-Robot Interaction Mentor: Lauren Klein• Built a dataset for predicting the behavioral states of infants using facial features extracted via Dlib.• Conducted statistical testing to understand whether the facial features play a role in determining the affect of the infant.• Worked on Infant-Engagement analysis and prediction using Multimodal Machine Learning.

Course Grader

• Jan 2020 - May 2020

CSCI 585 - Database Systems

Jt. General Secretary

• Jul 2017 - Jul 2018

Speaker for the following seminars/workshops: • 'Tech Routes' (careers that can be pursued) for the first-year engineering students • Artificial Intelligence and Machine Learning • Hybrid App Development using Cordova and Ionic • Unity3D and Augmented Reality • R Programming Moreover, organized, managed, and conducted the two CSI events - 'Codex in X' and 'Code Break' during the technical festival Abhiyantriki 2017, KJSCE & CSI’s annual technical festival - TechNext’18 - a two-round competition having the theme of Augmented Reality and Virtual Reality. Show less

Research Intern

• Jan 2018 - Apr 2018

• In-house research internship to build a Face Recognition model which is trained on very few examples (k-shot learning) for fast and accurate recognition. • The LFW(Labeled Faces in the Wild) and LEI(Fundaçao Educacional Inaciana) datasets were used for analysis. • The data was fed into the algorithm for feature extraction and classification was done using Convolutional Neural Networks. • k=3 i.e 3 images per subject gave 100% training and testing accuracy for both, LFW and LEI dataset. Show less

Machine Learning Intern

• Mar 2018 - Mar 2018

RiiDL: Research Innovation Incubation Design Labs, is a vibrant ecosystem for knowledge-based startups and projects, focussing on solving real-world problems, skill development projects and creating new ventures. Project: Lab Automation Project Work: Implemented the Face Recognition (real-time and static) module and learned how to carry out Object (tool) Detection/Recognition using TensorFlow. Technologies used: • Dlib/Resnet • OpenCV • face_recognition package which gave 98% accuracy • TensorFlow Object Detection API Show less