Ankit Malhotra

Bis 2026, Software Engineer (Backend), E2open
Karlsruhe, Deutschland

Fähigkeiten und Kenntnisse

C++
Java
C
Algorithm
Data Structures
SQL
Git
python
Spring Framework
tensorflow
Deep Learning
Machine Learning
Spring Boot
Microservices
Spring Cloud
Spring Security
Research and Development
Backend
Database
REST
Hazelcast
Hibernate
Apache Camel
Spring Data JPA
ActiveMQ
PostgreSQL
Oracle
JUnit
Mockito
Docker
Jenkins
Prometheus
Grafana
Maven
Jira
Scrum
Java 21
Aspect oriented Programming

Werdegang

Berufserfahrung von Ankit Malhotra

  • 3 Jahre und 3 Monate, Mai 2023 - Juli 2026

    Software Engineer (Backend)

    E2open

    - Built a message-driven Java/Spring Boot microservice with Apache Camel and ActiveMQ handling 500,000+ messages per day, persisting to PostgreSQL. - Developed REST APIs for Data eXchange, e2open's B2B supply-chain data-integration product. - Kept test coverage above 70% with JUnit and Mockito. - Containerised with Docker, built in Jenkins, monitored with Prometheus and Grafana.

  • 1 Jahr, Okt. 2017 - Sep. 2018

    Executive Applications (Software Development)

    AGC Networks

    • Implemented Restful APIs using Spring Boot, and Spring Data JPA for different modules in the project. • Prepared functional specification documents based on the requirements gathered from clients. • Developed and deployed the applications using Maven, and Tomcat. • Worked in an Agile development environment.

  • 6 Monate, Dez. 2016 - Mai 2017

    Java Intern

    Bluepi Consulting Pvt. Ltd.

    - Implemented a multilingual website using the Spring MVC framework for a hospitality company. - Performed manual testing to verify and validate the application as per the Business Requirement Specification (BRS).

Ausbildung von Ankit Malhotra

  • Bis heute 3 Monate, seit Aug. 2026

    German Intensive Course (A2–B1)

    eduglobal

    Full-time intensive German course, 20 hours per week, Karlsruhe.

  • 3 Jahre und 9 Monate, Okt. 2018 - Juni 2022

    Computer Science

    Christian-Albrechts-Universitaet zu Kiel

    Master's thesis: "Dynamic Scheduling Routines in Neural Architecture Search" (Kiel University, in collaboration with Helmholtz-Zentrum Hereon). Developed algorithms in Python and TensorFlow that estimate how much training a neural network needs, based on its current state. Coursework: Distributed Systems; Knowledge Discovery and Data Mining; Discrete Optimization.

  • 3 Jahre und 10 Monate, Sep. 2012 - Juni 2016

    Information technology

    Guru Gobind Singh Indraprastha University

    Studied at Amity School of Engineering & Technology (affiliated college of GGSIP University).

Sprachen

  • Deutsch

    B1-B2 (Gute Kenntnisse)

  • Englisch

    C1 (Fließend)

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