About Me

I'm currently a Computer Science PhD Candidate in Stony Brook University and Research Scientist at Monitaur. I have been programming since 2010 and learning about artificial intelligence since 2013. In that time not a day has gone by where I didn't learn something new. My personal fields of study include: Natural Language Processing, Psychology, Data Science, and Public Health.

When I'm not coding or doing data analysis I am keeping up to date with the latest in Machine Learning and Computer Hardware. I have also been making and producing music since I was kid, focusing on Math Rock, Jazz, and Electronic.

Contact Details

Siddharth Mangalik
Stony Brook, NY
MangalikS (at) Gmail

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Education

Stony Brook University | Stony Brook, NY

PhD in Computer Science •May 2025

Computational Social Science and Natural Language Processing research with Dr. H. Andrew Schwartz and Dr. Ryan L. Boyd

Work

Monitaur AI | Boston, MA

Research Scientist •Sept 2019 - Present

Meta | New York, NY

Machine Learning PhD Intern •Summer 2024

Movable Ink | New York, NY

Data Scientist •Summer 2022

Capital One | Richmond, VA

Senior Data Engineer •June 2018 - July 2020

SBU Dept. of Computer Science | Stony Brook, NY

Research Assistant •Sept 2016 - Sept 2018

Dell | Southboro, MA

Data Science Intern •May 2015 - Sept 2015

Courses

Computer Science

Computer Science Honors A and B (CSE160 & CSE260)
Systems Fundamentals I and II (CSE 220 & CSE320)
Technical Communications (CSE300)
Principles of Database Systems (CSE305)
Principles of Programming Languages (CSE307)
Software Engineering (CSE308)
Computer Networks (CSE310)
Introduction to Visualization (CSE332)
User Interface Development (CSE333)
Theory of Computation Honors (CSE350)
Artifical Intelligence (CSE352)
Machine Learning (CSE353)
Analysis of Algorithms (CSE373)
Natural Language Processing (CSE390)
Programming for Data Science (CSE391)
Honors Research I and II (CSE495 & CSE496)
Network Security (CSE508)
Data Science Fundamentals (CSE519)
Computer Vision (CSE527)
Theory of Database Systems (CSE532)
Natural Language Processing (CSE538)

Applied Mathematics

Calculus I and II
Linear Algebra (AMS210)
Finite Mathematical Structures (AMS301)
Probability and Statistics (AMS310)

Psychology

Introduction to Psychology (PSY103)
Cognitive Psychology (PSY260)
Judgment and Decision Making (PSY364)
Sensation and Perception (PSY368)
PSY 545: Psychopathology (PSY545)

Programming
Languages

Langauges

Python, Java, C, JavaScript, MATLAB, R, TypeScript, Scala, GoLang, SML, Prolog, MIPS

Mark Up

HTML5, CSS3, jQuery, JSON, YAML, GeoJSON, XML, LaTeX

Technologies

AWS, GCP, pandas, scikit-learn, PyTorch, TensorFlow, Keras, HuggingFace Jupyter, Hadoop, Spark, MapReduce, Docker, d3.js, Grafana

Software

Operating Systems

Windows, macOS, Ubuntu, Unix Shell, Android Dev

Development Tools

AWS, VSCode, Eclipse, IntelliJ, NetBeans, Git, Spring Boot, Swagger, React, Angular, MySQL Workbench, Jupyter, Android Studio, Aptana Studio

Certifications

AWS Solutions Architect

from Amazon Web Services

Artificial Intelligence

from Udacity.com (Peter Norvig / Sebastian Thrun)

Machine Learning

from Coursera.com (Andrew Ng)

Projects

Jeopardy! Data Visualization

Javascript and specifically d3.js data visualizations of questions that have been asked on the TV show Jeopardy! from 1982-2012. Prior to plotting the data was cleaned up and prepared using numpy, pandas, sklearn, and matplot python libraries.

Concept Art Gallery

Used Adobe Dreamweaver, GIMP, HTML 5, CSS 3, jQuery, and JavaScript to create a commissioned for concept artist, Ray Chen. The site utilizes a responsive and adaptive web design.

Cryptocurrency Miner

A concurrent Bitcoin miner analogue built with Java and Java Swing with a GUI for mining. The miner used a variety of cryptographic networking techniques to model, maintain, and build on a blockchain.

Projects Contd.

Language Modeler

Coded from scratch using python. A Natural Language Processing pipeline to tag words that self-evaluated itself. Labelled tokens by POS, and PCFG parsing, and n-gram frequencies using several models.

Language Compiler

A compiler built on lex and yacc tools provided by the PLY library. The total process creates tokens with a lexer, generates statements with a parser. Those statements are then placed into an abstract syntax tree for execution.

Musical Instrument Recognizer

Jupyter notebook demo of a system that can train on and then predict musical instruments through segmentataion and fourier transformations.

Research / Writing

Predator Detection

Using Java, Stanford CoreNLP, and Princeton WordNet to parse ~100 XML files and extract features from marked up chat logs. From those features linguistic construct tags were generated and analyzed for syntactic structure. Used thesaural relations for calculate semantic similarity, and visualized the resulting finding with d3.js.