YOGESHWAR MUTNEJA
yogeshwarmutneja.weebly.com ym2578@columbia.edu 203-804-0203
EDUCATION
Columbia University, NY | MS in Computer Science (Machine Learning Major) | GPA: 3.9/4 Dec 2018
Relevant MS Coursework: Machine Learning, Deep learning, Personalization and Recommendation Systems, Natural
Language Processing, Computer Vision, Augmented Reality, Cognitive Computing, Big Data & Cloud Computing
ITM University, India | Bachelor of Technology in Computer Science May 2014
EXPERIENCE
American Water, NJ | Artificial Intelligence Team Lead Mar 2020-Present
HR Virtual Assistant
▪ Reduced HR query volume by 20% by building a conversational virtual assistant
▪ Integrated with Microsoft Teams by developing a secure and scalable API on AWS cloud
▪ Led the initiative and secured funding of $375k for the project
Water Consumption Prediction
▪ Supported the operations team by developing an LSTM-based model that predicts the monthly water consumption
▪ Trained and deployed the model on AWS cloud for batch inference
Usage Analytics
▪ Demonstrated savings of $600k+ by architecting an open source Elastic Stack-based solution for usage analytics
American Water, NJ | Machine Learning Engineer Feb 2019-Mar 2020
Semantic Search
▪ Improved the search functionality of intranet content management system by implementing an NLP-based semantic search
▪ Deployed the model as a scalable, containerized microservice on the organization’s on-premises environment
Image Instance Segmentation
▪ Reduced contaminant analysis time for scientists by 90% using Mask R-CNN model to detect protozoa in water sample
images
▪ Trained and deployed the model on AWS cloud for batch inference
Bristol Robotics Laboratory, England | Machine Learning Research Intern Sep 2015-Mar 2016
▪ Conducted research to demonstrate a trade-off between physical and computational complexity; coded a meta-learning
genetic algorithm in an open source tool
Tata Consultancy Services, India | Assistant System Engineer Trainee Oct 2014-Aug 2015
▪ Saved 2000+ man-hours per year for the client by automating key support tasks using GUI and network automation; received
TCS-Gems Award for this work
ACADEMIC PROJECTS
Recommendation Engine Using Contextual Neural Attention
▪ Improved session-based recommendations on a public dataset by implementing a novel deep learning-based encoder-decoder
architecture
Game Engine Learning
▪ Imitated the Atari-Pong game engine using an image recurrent neural network to generate frames based on user key input
▪ Trained a reinforcement learning model on Atari-Pong game engine to collect data
Fake News Detection
▪ Improved F1-score over the baseline models on a public dataset using various machine learning models and linguistic features
Real Time Tweet Sentiment Map
▪ Developed a real-time, scalable web application that displays tweets on a front-end map after conducting sentiment analysis
▪ Deployed the web application on AWS cloud
TECHNICAL SKILLS
Programming: Python, SQL, C++, Java, C, C#, JavaScript, CSS, HTML
Tools & Libraries: Tensorflow, Keras, OpenCV, scikit-learn, NLTK, Flask, Gensim, AWS, Unity
