K Sree Varsha Reddy

Software Engineer

Bengaluru, Karnataka, India4 yrs 4 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in designing scalable backend systems.
Proven track record in optimizing cloud infrastructure.
Strong experience in collaborative, cross-functional environments.

Stackforce AI infers this person is a Backend Engineer specializing in Cloud Computing and SaaS solutions.

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Skills

Core Skills

Backend DevelopmentGenerative AiCloud Infrastructure Optimization

Other Skills

API DevelopmentAWS ServicesAdvanced data structuresAlgorithmsAmazon DynamoDBAmazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)Apache KafkaCComputer NetworkingComputer ScienceCore JavaData StructuresDesign and analysis of algorithms

About

I am a backend engineer with 4+ years of experience in designing and developing scalable backend systems. I am currently working as SDE 2 Gen AI at Salesforce where I build features in LLM Gateway service in AI Cloud. Prior to joining Salesforce I had worked at VMware where my role focussed on optimizing cloud infrastructure, demonstrating significant cost savings and performance enhancements. We had successfully implemented Cloudhealth Rightsizing and integrated Azure VM, DynamoDB,Amazon EC2 into the process, streamlining cloud cost management. I have previously worked at Amazon for 6 months as an Intern,part of the Amazon Music Catalog platform team where I worked on the complex process of ingestion of Assets into the system that help the downstream services to utilize the data. Throughout my career, I have excelled in collaborative environments, working with cross-functional teams and stakeholders to solve complex problems and create remarkable digital solutions. #LLM #Generative AI

Experience

4 yrs 4 mos

Total Experience

3 yrs 2 mos

Average Tenure

1 yr 2 mos

Current Experience

Salesforce

Member of Technical Staff (SDE-2)

Apr 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Working on LLM Gateway service which provides a single access point to both internal and external Large Language Model (LLM) Providers.It is used by 500+ features in production, and more importantly by AgentForce, serving 12+ millions of requests per day across all apps and orgs.
Generative AI

Generative AILarge Language ModelsBackend Development

Vmware

2 roles

Member Of Technical Staff 2

Promoted

Feb 2023 – Oct 2024 · 1 yr 8 mos · Remote

1. Contributed in designing a scalable rightsizing framework that reduced the time taken to onboard a new asset by less than 20%.
2. Reduced rightsizing recommendations API latency for very large customers by 25% using MySQL and Kafka.
3. Integrated global pricing microservice with rightsizing for pricing details and stored in Elastic Search for faster response time.
4. Owned end to end design and implementation of EC2, RDS, EBS, VM assets into rightsizing framework.
5. Optimized processing time taken by VLC Jobs by 33% to satisfy SLA of 24 hours.
6. Implemented Usage Analytics feature for rightsizing end to end using Athena, Glue and Usage analytics service.
7. Integrated CQS API into rightsizing for fetching the weekly cost details of various S3 Buckets and published the files to S3.
8. Integrated currency conversion API with rightsizing API’s to show the prices in customer’s preferred currency.
9. Actively participated in design readouts,resolved customer tickets and took complete ownership.
TechStack:-Spring Framework, Java, AWS Services(S3, DynamoDb, ElasticSearch, RDS, Athena, Glue), MYSQL, Redis.

MySQLKafkaElasticSearchAWS ServicesSpring FrameworkJava+2

Member Of Technical Staff 1

Jul 2021 – Jan 2023 · 1 yr 6 mos · Remote

Amazon

2 roles

SDE Intern

Jan 2021 – Jul 2021 · 6 mos · Remote · Remote

1. Designed auto ticket resolution feature which reduced the operational overhead of stakeholders by 80%.
2. Redesigned the retry strategy of feeds which brought a significant improvement in reduction of false alarms by 70%.
3. Fixed bugs in the ingestion system which reduced the false alarms.
4. Delivered results on time and launched the features as per the priority of stakeholders.
Tech Stack:-Spring Framework, Java, DynamoDB, SQS, SWF

Spring FrameworkJavaDynamoDBSQSBackend Development