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

Paynearby

Engineering Manager

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

Sharechat

2 roles

Software development engineer 2

Oct 2021 – Feb 2023 · 1 yr 4 mos

Software development engineer 1

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

Microservices, Springboot, redis, SQL, mongodb, Kotlin, Android, Java

MicroservicesSpringbootRedisSQLmongodbKotlin+2

Ittiam systems pvt ltd

Software Engineer

Jul 2017 – Jan 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 2016 – Jul 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).