Samarth Bhalerao

Software Engineer

Bengaluru, Karnataka, India6 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in cloud computing and distributed systems.
Proficient in developing cloud-native applications.
Strong background in database management and scalability.

Stackforce AI infers this person is a Cloud Computing and Software Development expert with a focus on scalable solutions.

Contact

samarthb@amazon.com LinkedIn

Skills

Core Skills

Cloud ComputingDistributed SystemsDatabase Management

Other Skills

AWSApache J-MeterApache KafkaCloud Volume ServicesGo (Programming Language)Google Cloud PlatformGoogle Cloud Platform (GCP)JavaKubernetesMicrosoft AzureMySQLNLP algorithmsNeo4jNode.jsSpring Boot

About

A skilled software development engineer with experience in cloud computing and cutting edge technologies like Kubernetes, Docker, GoLang, Mircoservices, Distributed Systems, GCP and many more.

Experience

Amazon

Software Development Engineer II

Sep 2022 – Present · 3 yrs 6 mos · Bengaluru, Karnataka, India

Netapp

2 roles

Member Of Technical Staff - III

Jun 2022 – Sep 2022 · 3 mos · Greater Bengaluru Area

Member Of Technical Staff - II

Jan 2020 – Jun 2022 · 2 yrs 5 mos · Greater Bengaluru Area

Cloud Volume Services
Building NetApp's fully managed cloud native storage solutions as a service hosted on Google Cloud Platform and Microsoft Azure

Cloud Volume ServicesGoogle Cloud PlatformMicrosoft AzureCloud ComputingDistributed Systems

Oracle

Member Of Technical Staff

Jun 2019 – Jan 2020 · 7 mos · Bengaluru

Here technologies

Research And Development Intern

Jul 2018 – Dec 2018 · 5 mos · Mumbai, Maharashtra, India

Developed a data store using graphical database (Neo4j) to leverage graph structures and algorithms to perform complex search queries.
Improved user experience by creating a Node.js data-loader application and API’s for data - ingestion and to get query results via user performed API calls.
Tested the scalability (28 million data points) and concurrency of database using Apache J-Meter for query performance.
Deployed the complete architecture on Cloud platform (AWS) to improve query performance and expand the accessibility.
Worked on NLP algorithms (Word2Vec and GloVE) to convert user performed queries into database query format.
Designed a data flow pipeline to get real time updates in data-store using Apache Kafka with a producer consumer model built on Spring boot.

Neo4jNode.jsApache J-MeterAWSNLP algorithmsApache Kafka+3

Ultratech cement

Summer Intern

May 2017 – Jul 2017 · 2 mos · Kovaya

Worked as a project Intern in the Instrumentation department of GCW unit of UltraTech Cements.
The worked involved analysis of Temperature Control Mechanism pf Calciner and Central Kiln and suggesting improvements which were based on PID Control Mechanism to make the process efficient.