Social Media Developer

CLINTON YEBOAH

**** *. *** ******, *********, Iowa 52557

**********@*****.***

www.linkedin.com/in/clintonyeb

github.com/clintonyeb

FULL STACK JAVA/JAVASCRIPT DEVELOPER

Skilled Full Stack Java and JavaScript Developer

with 2 years of experience and strong background in

full product development lifecycle from design to

testing and user acceptance. Excels in fast-paced

and deadline-driven environments, contributing to

quality deliverables on time, within budget, and in

alignment with specifications. Blends strong

technical, analytical, and operational acumen to

contribute to the attainment of challenging

objectives. Proficient in development of Java

projects using the latest technologies, including

Spring, Hibernate, PostgreSQL, MongoDB, and Apache

Tomcat. Experienced JavaScript developer using

technologies such as NodeJS, Express, React,

Angular, and Vue.

Java Programming

Web Development

Microservices

Design Patterns

Software Analysis & Design

Front-End Development

Back-End Development

Database Development

Data Structures

Algorithms

Languages: Java, Python, C, Scala

Web: HTML, CSS, JavaScript, JSP, Servlets, JQuery,

Bootstrap CSS, AJAX, JSON, Webpack

Web Services: REST, Microservices

Web & Application Servers: Apache Tomcat

Frameworks: Spring, Spring Boot, Hibernate,

NodeJS, Express, Mongoose, Angular, Vue, React,

Flask

Databases: MongoDB, PostgreSQL, MySQL, Redis

Design Patterns: Singleton, Builder, Prototype,

Adapter, Fa ade, Decorator, Mediator, Observer,

Visitor, Strategy, Factory Method, MVC, MVCS

SDLC: Agile / Scrum, Waterfall, Iterative, Test

Driven

Tools: IntelliJ IDEA, Visual Studio Code, Git,

GitHub, Docker, Maven, Jenkins, Kubernetes,

Postman, Vim

Platforms: Linux, AWS

Big Data: Elastic Search, Machine Learning,

Scikit-Learn, Kafka, Apache Hadoop, Apache Spark

PROFESSIONAL EXPERIENCE

INTUSEN ANALYTICS PVT CO, Mumbai, India * 2017-2019

Provider of B2B computer software solutions,

including analysis of log files to provide insight

into production systems.

Full Stack Web Developer

Assigned to develop company s flagship product from

the ground-up in addition to training interns.

Tasks Performed:

* Created complete front-end application with Vue

to complement back-end work.

* Developed Elasticsearch queries on data and

presented findings on charts in user interface.

* Completed set-up and testing of machine-learning

models with Python for application logs analysis.

* Built and maintained REST API service in Ruby on

Rails, including application data models design and

maintenance of Redis cache and a PostgreSQL

database.

* Provided set-up, deployment, and maintenance of

production applications with AWS Services.

* Created Java log parser for application logs.

Achievements:

* Played instrumental role in growing company from

start-up to securing business from clients such as

Tata Consultancy Services.

* Produced maintainable code for testing and

maintenance by interns with minimal experience.

* Generated user interface with enhanced loading,

utilizing lazy-loading and caching techniques.

* Delivered full-fledged, production-ready product

within challenging schedule successfully evaluated

by clients.

* Commended by management for top performance and

efficiency.

Technologies Used: Java, JavaScript, Python, Vue,

Spring Boot, Ruby on Rails, Elastic Search, AWS,

Redis, PostgreSQL, Git, Hibernate, Kafka.

ACADEMIC PROJECTS

Movie Recommendation System, MIU (2020): Worked in

a team of five to build a complete Netflix-like

movie recommendation system with machine learning

models to predict movies for users based on movies-

trending, movies geography, similar movies, and

user s history. This was accompanied by a Web

Client User Interface with same design as Netflix.

Technologies Used: React, HTML, CSS, Bootstrap,

JavaScript, Flask, Python, Scikit-Learn, Docker,

REST, Microservice, and Kubernetes.

Computer Vision - Monkey Species Classification,

MIU (2020): Lead a team of five to build a deep

learning computer vision application that could

identify 10 different monkey species with an

accuracy of 97%. Implemented a Gradient-Weighted

Class Activation Mapping (Grad-CAM) used to debug

the deep learning model Technologies Used: React,

HTML, CSS, JavaScript, Python, Flask, Python,

Scikit-Learn, Docker, and REST.

Social Media Platform, MIU (2020): Developed and

launched a cloud social media platform, enabling

sign-up with valid email address as well as users

following, post creation, notification alerts, ads

creation, and application management. Technologies

Used: JavaScript, Restful Web Service, AJAX,

Angular, MongoDB, NodeJS, Express, Web Sockets,

Heroku Cloud, Bootstrap, Sendgrid Email API, HTML,

CSS, Microservice, and AJAX.

Library Management System, MIU (2020): Led team in

building a Library Management System platform -

encompassing independent, fast, reliable, and

simple user interface designed with JavaFX. Systems

enabled users to register, login, manage books,

return books, and borrow books. Technologies Used:

Java, JavaFX, Hibernate, MySQL, Email, and Maven.

Fun Learning Platform (2019): Collaborated in an

open-source project by designing user interfaces

and implementing front-end components with Vue.

Built online, fun, community-driven learning

platform encompassing moderator, ranking, and

awards features. Technologies Used: Java,

JavaScript, Vue, Spring Boot, Web Sockets, Java

Messaging Service, Travis Continuous Integration,

Bootstrap CSS, Selenium Testing, PMD Static Code

Analysis, Gatling Load Testing, PostgreSQL, and

Microservices.

Event Management Platform (2018): Developed system

for managing people, organizing events,

establishing communications, and collecting funds.

Product offered user-friendly interface and

supported low network bandwidth regions in Africa,

using techniques such as browser caching and Single

Page Applications. Technologies Used:

Microservices, JavaScript, HTML, CSS, Ruby on

Rails, PostgreSQL, Vue, Bootstrap CSS, Charts, and

Twilio SMS API.

XML RSS Feed (2018): Implemented a fully responsive

system for generating XML RSS Feed, utilizing

asynchronous tasks and multithreading to improve

performance significantly. Technologies Used: Java,

MySQL, Spring Boot, NodeJS, HTML, CSS, Bootstrap

CSS, and Apache Tomcat.

EDUCATION

Master of Science in Computer Science

(In progress via distance education; expected

completion 10/2022)

Maharishi International University Fairfield,

Iowa

Key Courses: Modern Programming Practices,

Algorithms, Modern Web Applications, Big Data,

Machine Learning

Master in Computer Applications / Software

Engineering (04.2018)

Kalinga Institute of Industrial Technology,

Bhubaneswar, Odisha, India

Bachelor in Computer Applications / Software

Engineering (04.2016)

Punjab Technical University, Ludhiana, Punjab,

India

PROFESSIONAL DEVELOPMENT

Java Certification, NIIT-Oracle, Punjab, India

IOT Certificate, Workshop, Bhubaneswar, India

Introduction to Python Programming, Coursera,

Online

Academic Excellence, KIIT University 2018

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