Vishv Patel

Who am I?

Hey, I'm Vishv! I'm extremely passionate about software development, artificial intelligence, and entreprenuership and love to work on projects where these fields intersect. I'm also a personable team player with an aptitude for technology, an unquenchable drive for growth, an intuition for solving challenging problems, and a strong track record in leadership.

I'm currently a Fifth year double degree undergraduate student at the University of Waterloo studying Computer Science with the Artificial Intelligence Major and Statistics Minor, and at Wilfrid Laurier University studying Finance and Economics.

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Experience

Software Development Engineer @ Amazon

May 2021 – August 2021

Created core functional components for redesigned Seller Central Fulfillment By Amazon (FBA) Inbound Shipments Summary Page using React and TypeScript on the frontend and Java for the backend. Worked directly with stakeholders to architect new Summary Page which will be used by 4.5 million+ sellers using FBA on Amazon. Implemented several Backend-For-Frontend (BFF) endpoints using an AREST framework with Java, to allow for secure data updates. Completed a Trustbuster Investigation for a mission critical service for data discrepancies which customer pain points. Received an inclined full-time return offer for the contributions allowing the Frontier team to deliver on the Sep 15 deadline.

PM @ Quicktab

March 2020 – August 2021

Responsible for Architecting entire QUICKTAB software platform. Hired and led a team of 12 developers to create the IOS, Android and Web application. Responsible to ensuring start-up is exceeding KPI’s and reaching Milestones. I hosted weekly code reviews, stand-ups, sprints, feature planning meetings. Was responsible for complete oversight of the launch of the product in the early restaurants. Currently in early seed stage and serving as the Chief Technology Officer.

Frontend Software Engineer @ IBM

January 2021 – April 2021

Worked on the Air Canada Android application to implement accessibility features such as text-to-speech, touch target optimization, and UX consistency, enabling disabled users to interact with the app. Implemented UI and UX fixes to promote consistency across IOS and Android apps. Gained exposure to Android Studio, SDK’s, Kotlin based development, and optimizing UX with emulators

Infrastructure Engineering @ Thomson Reuters

January 2020 – April 2020

Architected and created custom program with a SQL-like interface to query data stored in various confidential databases and file systems that integrate with LegalTracker client data, much like Hadoop Hive, using Microsoft ASP.NET. This product saved 25+ hours per month of manual effort and reduced request lead time by 96% in most cases. Worked closely with several network engineers to improve server performance and idle time reduction. Implemented Weighted Least Connections (WLC) load balancer to replace vanilla round robin, saving $10,000 per month and reducing average server load. Used Sumologic and Datadog extensively to monitor codebase and server performance, creating several visually striking dashboards which were used by more than 100 engineers in their workflows, and used the results to improve performance on the querying product.

Data Engineering @ Scotiabank | Machine Learning and Artificial Intelligence

January 2019 – April 2019

Created a fully integrated bank transactions network (customs, cheque, wire transfers, EFT, FEDWIRE and CHIPS) for business intelligence and machine learning models to use as input data, used Google Cloud Platform, Hadoop, Beehive, Spark and SQL. Architected and integrated advanced end-to-end Russian connections product using SQL, Hadoop, and internal Stack (classified). Allowed for macro analysis by tracking millions of businesses conducting illegal or unfaithful transactions with sanctioned nations or company clients; was able to flag 16 cases of terrorist financing; alternate use for business strategy generation by leveraging transaction data. Conducted thorough business transaction rates analysis on SWIFT network using Machine Learning models and created forecasting tool using the insights from the data analysis.

Artificial Intelligence Developer @ Claire Healthcare Technologies

February 2019 – December 2019

Collaborated directly with family practitioners to integrate chatbot functionalities into doctors’ daily workflow and Electronic Medical Record (EMR) Systems. Building a parser that converts doctors’ utterances into a standard, fast healthcare interoperable resource (FHIR) using Microsoft LUIS, GCP and Node.js.

Infrastructure/DevOps Engineer @ BMO

May 2018 – August 2018

Worked with IBM ISAM, MongoDB, Git, Bamboo, Ansible, Docker and Scikit Learn to optimize security for integrated online services. Automated load balancing processes using Bash Scripting and Python to save over 80 hours per month for SMARTCore team thus decreasing user delays. Analyzed user data to optimize request processing workflow.

Co-Founder @ Proximeet

August 2015 - September 2017

Developed software for hassle free human interaction and location selection using Firebase, Google Maps API and Java. Acquired grants, hosted customer meetings, and created business growth strategy.

Project Lead @ HSB Infotech

August 2016 – September 2016

Managed a 3-week project with YesBank; aided project manager hire 22 people; automation of processes saved client 3 jobs. Used C++ primarily.

Education

University of Waterloo

Bachelors of Computer Science | Pursuing Artificial Intelligence Option and Statistics Minor | 2017 - 2022

Wilfrid Laurier University

Bachelors of Business Administration | Pursuing Finance Major and Economics Minor | 2017 - 2022

North Park Secondary Schoool

International Business and Technology Program | 2013 - 2017

Graduated with Student of the Year Award | 96.7% avg

Some Projects

Some cool and interesting projects I've worked on!

Trackle.IO

Alternative Peripheral usage interface - Winner @ Hack the North 2018

Built custom Machine Vision peripherals interface using camera and audio input to allow computer users with Carpel Tunnel Syndrome (CTS) and Upper Cross Syndrome (UCS) to control their computers. Created as a keyboard and mouse replacement for individuals with disabilities and restricted movement capabilities. Used Python, and OpenCV to implement rudimentary Machine Vision algorithms to create usable output.

More info on: https://devpost.com/software/trackle-io

Code on: https://github.com/VishvPatel007/trackle.io

Musify

Smart music transcription service

Musify is a smart transcription service for music lovers both amateur and experienced. Users can upload files of their favorite songs, and our application transcribes the audio into sheet music from the comfort of their own browser. As music lovers ourselves, as well as aspiring software developers & data scientists, we wanted to learn more about data science in a fun way that would be useful to ourselves and others. By using a combination of complex Fast Fourier Transformation (FFT) algorithms to estimate the pitch of the sounds, as well as use our own data estimation algorithms to retrieve the notes from said pitches, we learned a lot about audio analysis and data science.

More info on: https://ruhacks2018.hackerearth.com/sprints/ru-hacks-2018/dashboard/f2fa279/submission/

Crypterra

1st @ CUTC Nationals

Crypterra is a business-first asset management platform that utilizes the Hyperledger Composer and Fabric frameworks to securely hold assets and records on a decentralized blockchain platform. As an extension of Hyperledger’s enterprise-friendly open-source structure, Crypterra caters to new businesses unfamiliar with blockchain technology by providing them with a convenient and user-friendly data upload system, which supports upload of data from Excel spreadsheets, which is then parsed and added to the Hyperledger network. Additionally, the Crypterra platform creates an account and identity for every company and employee after parsing the information it receives from the excel worksheet. This allows for companies and employees alike to transact amongst 5 currencies (BTC, ETH, CAD, USD, GBP) within the platform and have their balances reflect accordingly.

My team won first place at the Deloitte Blockchain solutions for Business competition in May 2018, earning recognition for the proprietary implementation and nuanced features.

More info on: https://devpost.com/software/crypterra

Galen

Best social hack @ HackXplore

Opioid Overdose Relief Proliferation Platform | A solution addressing the opioid epidemic in North America by tracking and regulating prescriptions while also recommending optimal relief centre locations based on overdose reports using Machine learning.

More info on: https://github.com/VishvPatel007/Hackxplore

Proxi-Meet

Most Innovative Startup @ RyeU Incubator Program

Proxi-Meet was a start-up business being run by a group of young entrepreneurs. The main aim was to create a software which allows for hassle free human-human interaction and location selection. I managed the software development, grant acquisition, customer meetings, fundraising, finances, etc. The business went to win regional, provincial and national awards presented by recognized institutions such as Ryerson University and people like MPP Reza Moridi. This project was bought out by a competitor 16 months after the start.