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Abhishek Shankhadhar

Senior Software Engineer

Bengaluru, Karnataka, India11 yrs 5 mos experience
Highly Stable

Key Highlights

  • Experienced in building scalable microservices.
  • Strong background in machine learning applications.
  • Proficient in multiple programming languages and frameworks.
Stackforce AI infers this person is a Backend-heavy Fullstack engineer with expertise in SaaS and Retail Analytics.

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Skills

Core Skills

MicroservicesJavaAnalyticsSoftware DevelopmentMachine Learning

Other Skills

Alert management systemsAlgorithm DesignAlgorithmsAndroidBigQueryBigTableBluetooth beaconsCC++CSSCascading Style Sheets (CSS)Cloud PubsubCloud taskCompetitive CodingConvolutional Neural Networks (CNN)

Experience

11 yrs 5 mos
Total Experience
1 yr 11 mos
Average Tenure
1 yr 8 mos
Current Experience

Google

Senior Software Engineer

Oct 2024Present · 1 yr 8 mos · Bengaluru, Karnataka, India · Hybrid

Paynearby

Engineering Manager

Feb 2023Oct 2024 · 1 yr 8 mos · Bengaluru, Karnataka, India · Remote

Sharechat

2 roles

Software development engineer 2

Oct 2021Feb 2023 · 1 yr 4 mos

Software development engineer 1

Jan 2020Oct 2021 · 1 yr 9 mos

  • Currently working on the Moj News Feed.
  • Microservices, Springboot, Redis, GCP, Cloud Pubsub, Cloud task, BigQuery, Dataflows
  • Languages worked on: Golang, Node.js, Java
  • Databases worked with: Spanner, BigTable, MongoDb, Postgres SQL
MicroservicesSpringbootRedisGCPCloud PubsubCloud task+9

Swoo

Software Engineer

Jan 2019Jan 2020 · 1 yr · Bengaluru Area, India

  • Microservices, Springboot, redis, SQL, mongodb, Kotlin, Android, Java
MicroservicesSpringbootRedisSQLmongodbKotlin+2

Ittiam systems pvt ltd

Software Engineer

Jul 2017Jan 2019 · 1 yr 6 mos · Banglore

  • Contributed in Retail Analytics solution for in-store traffic analysis, heat map, demography profiles of customers etc. Worked on
  • Employee exclusion in traffic count solution using Bluetooth beacons.
  • Improvements to alert management system for device monitoring.
  • Software for Monitoring threads on the Edge device and handling unexpected behaviors such as thread hangs.

Shephertz technologies

Summer Internship

Jun 2016Jul 2016 · 1 mo · Gurgaon, India

  • Predictive Marketing: Based on user data, forecast the customers’ propensity the likelihood of making a purchase or propensity of churn (Machine Learning).

Codechef

Algorithmic Problem Setter

Jan 2015Jul 2017 · 2 yrs 6 mos

  • Worked as an algorithmic problem setter.

Education

Kamla Nehru Institute of Technology

Bachelor’s Degree — Computer Science

Jan 2013Jan 2017

Army Public School Bareilly

Intermediate — Science

Jan 2006Jan 2012

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