Abhijeet Anand

Senior Software Engineer

New York, New York, United States9 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building scalable server-side solutions.
  • Proficient in real-time data processing and analytics.
  • Strong background in machine learning and automation.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AdTech and Data Analytics.

Contact

Skills

Core Skills

Server-side SolutionsData PipelineAutomationMachine Learning

Other Skills

Android DevelopmentApache KafkaC++Data MiningDeep LearningDruidJavaJavaScriptKerasLinuxMicroservice ArchitectureNatural Language ProcessingOpenCVOperating SystemsPython

About

Uber Grocery FTW.

Experience

Uber

Senior Software Engineer

Mar 2020Present · 6 yrs · New York, New York, United States

Iab

Open Source Developer

Apr 2019Apr 2019 · 0 mo

  • Worked with the team at Media.net to submit code to IAB, the governing body in the field of online advertising to enable auto conversion of objects of open RTB standards 2.X and 3.0.
  • Link to repositories hosted at the official IAB Github account :
  • https://github.com/InteractiveAdvertisingBureau/openrtb3-converter
  • https://github.com/InteractiveAdvertisingBureau/openrtb-model

Directi

Platform Engineer

Aug 2018Feb 2020 · 1 yr 6 mos · Bangalore

  • AdExchange: Working on building highly scalable and low latency server-side solutions for the programmatic ad-tech platform.
  • Data-Pipeline: Setup a real-time data pipeline for processing, aggregation, and visualization of application logs using Apache Kafka and druid for analytics and monitoring.
  • Ad-Quality: Building pipeline for assessment of billions of ads served by Media.net through a horizontally scalable microservice architecture.
Apache KafkaDruidMicroservice ArchitectureServer-side SolutionsData Pipeline

Qualcomm

Internship

May 2017Jul 2017 · 2 mos · Hyderabad Area, India

  • Qualcomm Software Automation and Tools (QSWAT)
  • Automated JIRA interface using Natural Language Processing.
  • Used doc2vec, a deep learning model for text classification and vector space model of gensim to extract semantic meaning.
  • IdeaQuest
  • Team Lead to build a prototype for hand gesture recognition to convert American Standard Sign Language to speech. Used OpenCV, Keras, Tensorflow for real time conversion of all alphabets and numbers to speech.
Natural Language ProcessingDeep LearningOpenCVKerasTensorFlowAutomation+1

Economics club

Coordinator

Jul 2016May 2017 · 10 mos · IIT Delhi

  • Organised workshops on algorithmic trading and personal finance with global firms like Optiver.

Economics club iit delhi

Executive

Sep 2015Jul 2016 · 10 mos · New Delhi Area, India

Education

Indian Institute of Technology, Delhi

Bachelor of Technology (B.Tech.) — Computer Science and Engineering

Jan 2014Jan 2018

Doon Public School

Higher Secondary — Science

Jan 2012Jan 2014

Fiitjee

Science

Jan 2012Jan 2014

B D Public School

High School

Jan 2003Jan 2012

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