ROSHAN BABY REJI

716-***-**** ac6jhj@r.postjobfree.com https://www.linkedin.com/in/roshanbreji 4705 44th St, Apt A6, Woodside, NY, 11377

https://github.com/roshanreji92

EDUCATION

University at Buffalo, The State University of New York February 2018

Master of Science in Electrical Engineering

Kalinga Institute of Industrial Technology, KIIT University, India May 2015

Bachelor of Technology in Electrical Engineering.

PROFESSIONAL SUMMARY

Experience in developing applications using various Java technologies like Spring Boot, Angular.

Experience in implementing machine learning concepts to provide solutions and products.

Knowledge of JSON, HTML, XML, CSS and RESTful Web Services.

Experience with Amazon Web Services specially with EC2, S3, IAM, ElasticSearch, Cognito, Lambda, API Gateway.

Solid understanding of using Python libraries like sciPy, numPy, scikit-learn, pandas.

Strong understanding of Object Oriented (OOP) concepts.

Strong understanding of algorithms and data structures.

Excellent communication and documentation skills.

Active team player with the ability to learn new technologies quickly.

TECHNICAL SKILLS

Programing Languages: Java, Python, C, Scala, TypeScript, JavaScript, Cobol, Natural

Database Languages: MySQL, PL/SQL, DynamoDB, Adabas, DB2

Tools and IDE: Eclipse, Maven, Git, Matlab, NS3, Hyper-V, VMware Workstation

Others: Angular4, Bash, Spring Boot, Elasticsearch, Kibana, AWS, MXNet, TensorFlow

PROFESSIONAL EXPERIENCE

Noctil Software Development Engineer April 2018 – Current

Technology – Java, AWS, Elasticsearch, Kibana, Angular

Developed new prediction models with better detection scenarios to cater to the needs of the client.

Upgraded the UX/UI in accordance with the new prediction functionalities being added to the system.

Developed new scripts that automated the configuration settings thereby requiring less supervision of the system.

Coordinated with client and provided high-level walkthroughs to support team and testers.

Documented technical user guides, tutorials, examples and FAQ’s.

Documenting the functionalities and dependencies of the newly created scripts.

Accenture Software Engineer May 2015 – July 2016

Technology – Mainframe (Cobol, DB2, Natural and Adabas, JCL)

Worked as Change Manager to monitor and manage all changes in the existing production modules.

Worked across functional and project teams to ensure continuous operation of build and test systems.

POC for the on shore team on after sales and purchase, pending and back orders and stock replenishment.

Performed maintenance and troubleshooting of continuous build and deployment systems.

Presented the solution or workaround to a problem in a limited timeframe keeping in mind the severity and SLA.

Spearheaded a complex product enhancement task to improve the system performance which required the development and deployment of new modules into the production environment following all phases of SDLC.

Documented the newly developed modules as to how each module is associated with the databases and which fields they are accessing and modifying.

TECHNICAL PROJECTS

Implementation of multilayer Perceptron Neural Network to classify handwritten digits

Multilayer Perceptron Neural Network was implemented in python and its performance was analyzed in classifying handwritten digits.

Implementation of Deep Neural Network to classify images of celebrities

Dataset containing images of celebrities was provided. There were two cases – Celebrities wearing glasses and celebrities not wearing glasses. Task was to distinguish between these two classes and compare the performance of the neural network against a deep neural network using the TensorFlow library.

Custom socket APIs for UDP over IP

Custom socket APIs were developed in C for sending UDP datagrams between two Intel DE2i-150 boards.

Contact this candidate