Ios Engineer, Computer Science, ML Engineer

Reuben S. Varghese

Piscataway, New Jersey · ad2upo@r.postjobfree.com · 848-***-****

Summary

Native iOS developer with a Master’s and Bachelor’s degrees in Computer Science. Proven experience using Swift for a large, native mobile, enterprise app. Proficient in Python, Swift, Ruby and bash. Passionate about designing and integrating AI/ML systems.

Professional Experience

School of Communication and Information, Rutgers University New Brunswick, NJ Graduate Research Assistant Jan 2023 - Present

• Utilized data analysis methods and ML models to gain insights into local news database

• Employed AWS Sagemaker, Redshift, ECS & EC2 and various other tools like BERT for NLP Amadeus Labs (Part of Amadeus IT Group, S.A.) Bangalore, India Junior Software Engineer Jul 2019 - Aug 2021

• Native iOS developer in Cytric Mobile (mobile booking app for corporate travel).

• Engineered OCR model and Information extraction for Intelligent Document Processing of receipts

• In Cytric Mobile: Built and Designed pages for Weather, Travel Overview, Expense History, Train booking flow.

• Integrated Firebase Analytics for app tracking, error logging and crashlytics

• Developed Minimum Viable Product for ‘expenseFree’ (mobile payment solution for corporate travel) as a modern replacement for older solutions which was approved and released as Cytric Pay.

• In expenseFree: Created airline and hotel booking user flow, implemented virtual card generation and usage 4SPOTS Digital Agency Bahrain

Tech Intern Jun 2018 - Jul 2018

• Developed and deployed of Web (PHP) apps, Python programs and shell scripts. Education

Rutgers University New Brunswick, NJ

Master of Science Computer Science Jan 2022 - Dec 2023 Relevant Coursework: Software Engineering, Data Structures & Algorithms, Principles of AI, OS Design, NLP, Machine Learning

National Institute of Technology Calicut Kozhikode, India Bachelor of Technology Computer Science & Engineering Jul 2015 - May 2019 Projects

Autonomous Swarm Drone Surveillance System MAVLink, YOLO, Deep Learning, Pixhawk, ArduPilot, DroneKit-Python

Project Lead for an institute-funded research project. Paper published in IEEE journal. Semantically Segmented Neural Style Transfer Deep CNN, Mask R-CNN Context-based semantic segmentation on images before applying NST to segments separately to generate more visually appealing images.

One-Stop Shop: E-commerce website Javascript, HTML, CSS, REST API, Node.js, EJS, CockroachDB Built a full-fledged e-commerce website with more accessible UI, quicker cart flow. Skills

Core Domain Expertise: Native Mobile development using Swift Programming Languages: Python, Swift, Ruby, Bash, C++, PHP, HTML, SQL, Javascript, Obj-C Frameworks: RubyOnRails, UIKit, SwiftUI, Combine, CocoaTouch, CoreData, RxSwift, React.js, Firebase Analytics, XCTest

Tools: XCode, Jupyter Notebook, AWS Sagemaker, Amazon ECS, Amazon EC2, Jenkins, Bitbucket, Jira, git

Interests: Swarm Intelligence, Ethical and Explainable AI/ML, FinTech, Blockchain, Accessible UI, NLP