Hello. I'm Vincent! I am a Software Engineer and Data Scientist working in the Big Data Division of Barclays.

About Me

Skills:

Proficient: Java, C++, Python, R, ML, HTML, CSS, ARM, SQL, Teradata, Hadoop, Big Data, Verilog, Impala, Hive, React, Node.js

Experienced: C, Javascript, Scala, NLP, AWS, TensorFlow, MIPS, Bash, Essbase, SQL Server, MySQL, PL SQL, Tableau, Express.js, MongoDB

As a software engineer my goal was to always be well rounded. Although my primary interests are geared towards AI and ML, I've worked on a multitude of other projects involving Web Dev, Embedded Systems, Data Science, Hardware/Software Integration, Game Development, and more. I am currently interested in expanding into fraud detection and quant analytics. I also have a keen interest in BioMetrics Processing.

My Resume

Projects

Check out my page and my projects!

Visual Construction - Co-op for Lp Ciminelli, the largest Construction Company in Buffalo, and one of the largest in NYC. My Team and I developed an Augmented Reality solution using Microsoft Hololens to redefine the Construction Industry. Click to see our final presentation.

Virtual Memory Manager - a VMM program that implements page replacement algorithms and framing in C++ such as FIFO and LRU-Stack. The algorithms are run through shell scripts.

My 2d wizards RPG written in Java. Maybe libgdx or lwjgl support at some point. Sprites created through the Universal-LPC-SpriteSheet-Character-Generator.

UBTalker2

ALS Home Automation - Empowering disabled person(s) by using a SteelSeries sentry eye tracker interfaced with a software program 15 years in the making; allowing them to control their surroundings and giving them a method of communication. Our Client was Tim, a Buffalo Based ALS patient.

(User Manual)

(Design Document)

Data Science - I have a multitude of Data Science Projects I have worked on through school and independent study.

Trend Analysis done in R using the twitteR package. Use of EDA and geocoding to trend tweet locations during the SuperBowl. Cleaning using R and heatmap created using ggplot2.

Qbert - I made a clone of the popular 1980's game. I wrote it in ARM Assembly using an LPC 2138(Philips) RISC Microcontroller interfaced with Keil MicroVisions 4 and 5.

Naive Bayes Classifier - I use Naive Bayes on a huge corpus to accurately predict what language a given movies' subtitles are in using character n-grams or c-ngrams.

Data Analysis of the most popular dataset on the Kaggle Competitions Site. Hosted on Tableus through their Cloud. I tried to find several patterns and graphed data visualizations.

Interests

My longtime girlfriend and I. She's a test automation and Dev Ops Engineer.

Me and TSM Reginald. Pax East 2013

My interests culminate towards data science and AI.

ubhacking

UBHacking 2015

careerfest

Annual Career Fest hosted by UB Career Services 2016