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

pavneetsingh.13579@gmail.com LinkedIn

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 2024 – Present · 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 2021 – Mar 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 2020 – Oct 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