Overview
Nick is a creative thinker, who is always eager to learn new technologies, tools and approaches, research new concepts, and become better at what he does. He is a team-player and likes to be constantly challenged. He has strong problem-solving, analytical, communication, and presentation skills. He wants to work at a supportive and innovative environment, where he can impact many people positively through his work. As part of the LGBT community, he also appreciates open-mindedness to diversity at workplace.
Nick recently graduated in May 2020 with a Bachelor of Arts degree in Computer Science from Columbia University in the City of New York and is looking for entry level software engineering position. He worked full-time throughout his studies at Columbia University, which shows how hard-working he is.
Technical Skills:
- Python, TensorFlow, PyTorch, Keras, CNN, RNN, Pandas, Linear Regression, Machine Learning, Deep Learning, NLTK, Java, JavaScript, C, C++, Amazon Web Services, SQL, NoSQL, HTML5/CSS, TCP/IP, APIs, Django, MongoDB, Redis, Node.js, React.js, Spark, Flink, UNIX/Linux, Docker, Kubernetes, Swift
Education
Columbia University in the City Of New York
Bachelor of Arts, Computer Science (September 2015 - May 2020)
Coursework
- Artificial Intelligence in Python; Natural Language Processing in Python; Advanced Programming in C/C++; Algorithmic Trading in Python (audit); Data Structures in Java; Cloud Computing and Big Data with Amazon Web Services in Python, JavaScript, HTML/CSS; Introduction to Cryptography; Fundamentals of Computer Systems; Linear Algebra; Building a Technology Startup; Computer Science Theory
Projects
Artificial Intelligence in Python
(January 2020 - May 2020)
- Machine Learning: implemented Perceptron, Linear Regression, Clustering Machine Learning algorithms for data separation, prediction, and RGB values
- N-Puzzle Board Game: Implemented and compared breadth-first, depth-first, A-star search algorithms
- Sudoku: Implemented backtracking search with minimum remaining value heuristic to reduce variables domains
- 2048-Puzzle Game: Implemented an adversarial search agent to play using expectiminimax and alpha-beta pruning
Advanced Programming in C and C++
(January 2020 - May 2020)
- Web Server: Wrote HTTP 1.0 web server that served static HTML and image files
- Generic Singly Linked: Implemented a generic singly linked list that could hold any data type
Algorithmic Trading in Python (audit)
(September 2019 - December 2019)
- Model-Based Trading: Implemented model-based trading, execution strategies with market data, tolerance functions, factor models
- WRDS Tick Data Redux, VWAP Algorithm, Lee Ready Algorithm: Worked on WRDS Tick Data Redux, VWAP algorithm, Lee Ready algorithm, transaction cost analysis, risk factors, and roll model to reduce risk and increase predictability and profit
Cloud Computing and Big Data with Amazon Web Services in Python, JavaScript, HTML/CSS
(September 2019 - December 2019)
- Dining Concierge Chatbot: Implemented Dining Concierge chatbot, a serverless, microservice-driven web application, which sent users restaurant suggestions given a set of preferences provided to the chatbot through conversation
- Smart Door Authentication System: Implemented a Smart Door authentication system using Kinesis Video Streams and Amazon Rekognition to build a distributed system that authenticated people and provided them with access to a virtual door
- Photo Album Web Application: Implemented a photo album web app, searchable using natural language through both text and voice. Used Lex, ElasticSearch, and Rekognition to create an intelligent search layer to query photos for people, objects, landmarks, etc.
Natural Language Processing in Python
(May 2019 - July 2019)
- Trigram Language Model: Implemented a trigram language model to extract, count, and obtain raw probabilities for n-grams
- CKY Algorithm: Implemented CKY algorithm for CFG and PCFG parsing and retrieved parse trees from a chart with tree data structures
- Neural Network: Trained a feed-forward neural network to predict transitions of an arc-standard dependency parser with TensorFlow
- Lexical Substitution Task: Worked on a lexical substitution task, using both WordNet and pre-trained Word2Vec word embeddings with NLTK
Volunteer Activities
LGBT Mentorship Program, Columbia University
Mentor (January 2017 - Present)
- Mentored incoming LGBT Columbia students to help them use maximum resources and be successful
Experience
Columbia University Residential Leasing
Leasing Assistant (July 2014 - Present) New York, New York - Full-time
- Help digitize thousands of tenancy agreements from office visit paper-signing to online digital signing via DocuSign
- Write rental verification letters as a landlord for thousands of current and previous tenants to help them get housing
End of Resume
