Tarun Agrawal

Senior Software Engineer

15 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

6 years of software development experience.
Expert in scalable enterprise applications using Java.
Proficient in Machine Learning and NLP model development.

Stackforce AI infers this person is a Backend-heavy Fullstack Developer with expertise in SaaS and Cloud technologies.

Contact

Skills

Core Skills

JavaMachine LearningBig DataNatural Language Processing

Other Skills

ADFAlgorithmsAmazon DynamoDBAmazon Web Services (AWS)Apache KafkaCC++CompilersComputer ScienceData StructuresGoogle Cloud ServicesHTMLHadoopJ2EE Web ServicesJava EE

About

• 6 years of experience in software development. • Expertise in design and development of scalable, multi-tier enterprise applications using Java and Java EE technologies. • Experience in design and development of Machine Learning and NLP models. • Worked extensively in Google’s cloud services like App Engine, Cloud MySQL, Compute Engine, Data Store (NoSQL), Memcache and Task Queue. • In depth knowledge of various stages of software development life cycle.

Experience

Amazon

SDE-2

Sep 2017 – Present · 8 yrs 6 mos · Bengaluru Area, India

Makemytrip.com

Senior Software Developer

May 2016 – Aug 2017 · 1 yr 3 mos · Bengaluru Area, India

Motorola mobility

Software Developer

Jun 2014 – Apr 2016 · 1 yr 10 mos · Bengaluru Area, India

4 years of experience in software development.
Expertise in design and development of scalable, multi-tier enterprise applications using Java and Java EE technologies.
Experience in design and development of Machine Learning and NLP models.
Worked extensively in Google’s cloud services like App Engine, Cloud MySQL, Compute Engine, Data Store (NoSQL), Memcache and Task Queue.
In depth knowledge of various stages of software development life cycle.

JavaJava EEMachine LearningNatural Language ProcessingGoogle Cloud Services

Oracle

Member of Technical Staff

Jul 2012 – May 2014 · 1 yr 10 mos · Bengaluru Area, India

Worked on the Name Entity Recognition, and achieved a F Measure of 91 %. NER was done for english using Reuters training data.
Working on Big Data tools team, is responsible for creating and maintaining plugins written in Hadoop Map reduce and Spark. Also worked on integration of different component.

Big DataHadoopMapReduceSparkNatural Language Processing