I'm currently pursuing Masters at NEU course MSCS. I'm looking for internship positions starting in summer 2020. My expected graduation date is May 2021.

1. RAHUL PANDEY
Boston, MA, 02115 | +1 857 8699607 | rahul.office800@gmail.com
http://www.linkedin.com/in/rahul-pandey-neu
EDUCATION Available starting summer 2020 for Co-op or Internship
Northeastern University, Boston, MA Sept. 2019 – May 2021
College of Computer and Information Science
Candidate for a Master of Science in Computer Science
Related courses: Programming Design Paradigm, DBMS
SGSITS, Indore, India
Bachelor of Engineering in Computer Engineering June 2015
Related courses: Object Oriented Programming, Data Structures, Databases, Software Engineering
TECHNICAL KNOWLEDGE:
Languages: Java, Python, C, C++, JavaScript, UI5, HTML, CSS, ABAP
Frameworks: Spring Boot, Spring MVC, Node.js Databases: MongoDB, Firebase, MySQL, SAP HANA.
PaaS offering: Kubernetes, AWS, SAP Cloud Platform, Cloud Foundry. Libraries: TensorFlow, Pandas NumPy, PyTorch.
Certifications: Version control with git, Operations with SAP cloud platform, Kubernetes: Microservices, Machine A- Z™:
hands-on python & R in data science, Learning kubernetes, Kubernetes: cloud native ecosystem.
WORK EXPERIENCE
SAP Labs India Private Limited, Bengaluru, India
Software Engineer III Data Buffer & Consumer facing library: Aug 2015 – Aug 2019
• Built a maven central library to be used as a framework by sap marketing scenario handlers to build their own handlers.
• Achieved fault tolerance, authentication, multitenancy, storage in Hana DB, HMAC validation etc. in library.
• Designed architecture, implemented modules and successfully delivered the product.
Technology: Cloud foundry, Java, SAP cloud platform, SAP Hana as a service, Spring cloud.
Software Engineer II, Agencies & lead scoring:
• Developed multitenant SaaS Java microservices on cloud foundry exposing rest API’s developed using Spring Boot.
• Programmed application modelling as SaaS, platform callbacks, rest endpoints development and access via OAuth 2.0
SAML bearer tokens using cloud foundry backing service like UAA, Destination etc.
Technology: Cloud foundry, Java, Node.js, Java Script, SAP HANA, OData.
Software Engineer I, SAP Financial services team:
• Loans default: Developed customer delinquency information for SAP Risk Management System and to determine the
credit score, this accounted for performance improvement by > 30%.
• Error resolution: Built a machine learning model to predict the possible error resolution using Naive Bayes classifier.
• SAP lien transfer: Built a blockchain application for transfer of SAP lien agreement using SAP Blockchain as-a-service.
Technology: CDS views, SAP ABAP, UI5, SAP Predictive analytics libraries (PAL) for Machine learning.
PROJECTS
Kaggle competitions problems April 2018 - April 2019
• Understanding the amazon from space competition using Convolution Neural Networks (CNN).
• Rossman stores sales prediction using ANN & sentiment analysis on IMDB movie reviews using RNN, LSTM.
• Collaborative filtering for movies rating: Movie lens.
• Recurrent Neural Networks to predict Stock Prices.
• Dog breeds classification and prediction using CNN.
Data-set exploration and Models April 2018 – April 2019
• Language model’s creation: 3-character, 8-Character, RNN, LSTM, GRU
• Self-Organizing Maps to investigate fraud.
• Boltzmann Machines to create a Recommender System.
INTERESTS/ACTIVITIES
• Honored with ‘Spot’ & ‘Outstanding Performance’ award in year-end review in SAP Labs.
• Awarded with ‘Build Bridges, Not Silos’ award at SAP Labs.
• Honored with “Most Valuable Player” award for innovation initiatives and product deliverables.
• Secured 2nd position in Myntra T-Shirts image classification using CNN: http://bit.ly/2EAqCFp.
• Secured 3rd position in VELLUM National level technical paper presentation competition held at SGSITS Indore.