Pavneet Singh

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs 4 mos experience
Most Likely To Switch

Key Highlights

  • Expert in building scalable microservices architectures.
  • Proven track record in optimizing data ingestion processes.
  • Strong background in search algorithms and relevance engineering.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and Media applications.

Contact

Skills

Core Skills

MicroservicesCloud ComputingDatabase ManagementSearch AlgorithmsData Processing

Other Skills

AlgorithmsApache KafkaAzure Blob StorageCascading Style Sheets (CSS)CassandraCouchbaseData StructuresDesign PatternsDockerFull-Stack DevelopmentHTML5HibernateJavaJavaScriptKotlin

About

I am passionate about making new and innovative software that help the society in numerous ways.

Experience

8 yrs 4 mos
Total Experience
1 yr 8 mos
Average Tenure
2 yrs 2 mos
Current Experience

Oracle

Senior Software Engineer

Apr 2024Present · 2 yrs 2 mos · Bengaluru, Karnataka, India

  • Building Next Generation Firewall service for security org in OCI
JavaKubernetesMicroservicesCloud Computing

Walmart global tech india

Software Engineer

Oct 2021Mar 2024 · 2 yrs 5 mos · Bengaluru, Karnataka, India

  • Search - As part of search team developed config based db connection package containing scaling and metric collection capabilities. It has capability to connect to multiple databases like couchbase, redis, memcache, azure blob storage, cassandra with a given config file.
  • Tech used - Java, redis, memcache, couchbase, cassandra,Design patterns, Reactive Programming(Project Reactor)
  • Search Relevance Platform - Worked on Search platform to enable users get search relevance, improving search in Walmart. Designed and built platform for automated relevance calculator to improve productivity of search team.
  • Tech Used - Java, Hibernate, SQL, gpt-4, kubernates, Azure blob storage
JavaRedisMemcacheCouchbaseCassandraDesign Patterns+8

Gaana

Software Engineer

Dec 2020Oct 2021 · 10 mos · Noida, Uttar Pradesh, India

  • Podcast Ingestion - optimisation of podcast ingestion, reduced ingestion time from 1 day to 2 hours with scalaibility to handle as much as 10 million podcasts
  • Tech used - Java, Spring Boot, Hibernate, Apache Kafka, Docker, XML parsing, SQL
  • Music Ingestion - developed a transcoding system from scratch for songs and poscasts ingested in the system with scalaibility to handle as many songs are there in gaana that is around 30 million.
  • Tech Used - Apache Kafka, SQL, Microservices Patterns, Java
JavaSpring BootHibernateApache KafkaDockerXML Parsing+3

Lybrate

Software Engineer

Jun 2019Dec 2020 · 1 yr 6 mos · Faridabad, Haryana, India

Yamaha motor solutions india pvt.ltd.

Software Engineer

Jan 2018Jun 2019 · 1 yr 5 mos · Faridabad, Haryana, India

Education

DIT UNIVERSITY

Bachelor of Technology - BTech — Computer Science

Jan 2014Jan 2018

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