Hi there! I am a Computer Science graduate student at the University of Massachusetts - Amherst.
Intruiged by all things Machine Learning, I love staying up to date with the happenings in the research community. I am eager to transform my theoretical knowledge into practical and scalable solutions through a meaningful career in the industry starting in the summer of 2019. Here is my resume.
My interests lie in the fields of software engineering, large scale systems, and machine learning. There are petabytes of raw data waiting to be processed to obtain invaluable insight and I wish to dive into that pool of information.
My goal is to develop a mechanism by which we can skill the common and underprivileged masses who do not have access to good quality education by using technology to aid or automate the teaching process.
Numerous years of experience through exposure via courses, implemented projects and technical internships
Used Numpy, Scikit-learn and MATLAB to implement core machine learning, natural language processing and vision algorithms
Of late, I have been dabbling in the PyTorch and Keras frameworks, while handling larger workloads through PySpark
Developed simple applications, and dashboards with data visualization to effectively communicate results
Strong proponent of version control tools like Git
I have worked for the following organizations in the past
Designed a deep learning architecture to predict if a timecard will require edits. Focusing on high risk timecards, while auto approving low risk ones can lead to substantial time savings for all customers
Conducted exploratory analyses on support tickets to identify business use cases, configured Solr to index and browse tickets, and used machine learning models to route tickets enabling faster resolution
Stack: Python, Keras, PySpark, Scala, Apache Solr, SQL
Remodelled resources and wrote fully automated end to end tested APIs
Created dashboards for monitoring API performance using Splunk and productivity tracking for Github activity
Stack: Java, Splunk, Django (Python)
Designed a portal to onboard vendors onto an invoice management system
Data federation helped automate of invoice management leading to an estimated reduction of 120,000 customer tickets annually
Stack: Angular Js, RESTful Services, Java and proprietary DB tools
Backend developer for a multiplayer Movie Quote Quiz game on Windows Phone
Optimised it to be playable on unreliable low speed networks
Stack: Windows Phone SDK
Advised by Dr. Andrew McCallum, Nick, Ari and Rajarshi, I am researching ways to navigate large scale graphs to find nearest neighbours efficiently using Reinforcement Learning for my master's project.
IESL at UMass develops techniques to mine actionable knowledge from unstructured text.
As part of an industry collaboration project, I worked [github] on the Enron Email Dataset to infer organizational hierarchy and model user behaviour to detect possible phishing attacks in an unsupervised manner
The ISI at University of Southern California is a world leader in research and development of advanced information processing, computer and communications technologies
Under the guidance of Dr. Beverly Woolf, I worked on the full stack development of a crowd sourced question authoring tool for MathSpring, a Mathematics tutor
The Center for Knowledge Communication at UMass builds Web-based intelligent tutors that understand a student's learning needs, optimize teaching materials and use effective tutoring strategies
Developed classifiers for labelling textbook questions along the cognitive (90% accuracy) and knowledge (60% accuracy) dimensions of Bloom’s Taxonomy.
Design included an ensemble of numerous classifiers
Poster was presented at the UMass Data Science Mixer and the PESIT RoadshowGitHub DS Mixer Poster Roadshow Poster
Compared the accuracies of a Naive Bayes Classifier and Decision Tree with respect to the Indian Elections
Implemented a Bidirectional RNN based solution to assess the performance of banks after the Demonetization scheme
Developed an IDE with features like language based highlighting, indentation and auto completion.
Also wrote the grammar and a Python based parser that checked for syntactic and semantic errors in code, suggesting fixes
Led a team of 13 for a Software Engineering Project
Concretely understood the development lifecycle and effective management across multiple developers
Designed the backend analytics pipeline for suggesting how much should be restocked and when