Parthsarthi Neema

Software Engineer

Hyderabad, Telangana, India4 yrs experience

Key Highlights

Proven expertise in building scalable software solutions.
Strong background in competitive programming and algorithms.
Hands-on experience with cloud technologies and distributed systems.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and Fintech solutions.

Contact

Skills

Core Skills

C#.netJavaSpring BootNode.jsReact.jsApache SparkApache KafkaMachine LearningNatural Language Processing (nlp)

Other Skills

AlgorithmsAzureAzure Cosmos DBBack-End Web DevelopmentC++CSSCompetitive ProgrammingCosmos DBData StructuresElasticsearchFront-end DevelopmentGraphQLHTMLJavaScriptMicrosoft Azure

About

Software Engineer at Microsoft with hands-on experience in Java, C#, Spring Boot, .NET, MySQL, REST APIs, and React.js. ICPC Regionalist and CodeChef 4★ (1807). Worked on backend systems focused on authentication, authorization, and organizational governance, leveraging deep architectural knowledge—from load balancing and reverse proxies to design patterns like Factory, Builder, and Observer—to build highly scalable software solutions. Personal Website - https://parthsarthi313.github.io/personal_website/

Experience

Microsoft

Software Engineer

Apr 2025 – Present · 11 mos · Hyderabad, Telangana, India · Hybrid

Collaborated with the Unified Support Pricing team to design and implement distributed systems within the C + AI division.
Utilized Azure DevOps and Application Insights for effective monitoring and tracking of service performance.
Developed cloud infrastructure solutions using Logic Apps for event processing, enhancing system reliability.
Leveraged a tech stack including C#, .NET, Azure, SQL, and Cosmos DB to optimize service functionality.

C#.NetMySQLAzure Cosmos DBMicrosoft Azure

Ofbusiness

Software Engineer

Jul 2023 – Mar 2025 · 1 yr 8 mos · Gurugram, Haryana, India · On-site

Implemented new features and enhancements to the Invoice and the Billing System, resulting in a 20% increase in billing efficiency. - Used JMS Events to handle asynchronous calls, Rate limiters to limit 3rd party API calls
Worked on the Organisation Onboarding flow, used to onboard B2B Organisations to the system - Used multiple low-level design patterns like Factory, Observer, Builder, Singleton and high level patterns like Event handling, Transactions, Load Balancing and reverse proxy through Nginx etc.
Developed and deployed more than 50 APIs to support all the features, ensuring seamless integration and data flow with
DevOps - Used REST API’s and remote dev machines through deployment on Jenkins

JavaSpring BootJavaScriptReact.jsRedisElasticsearch

Accern

2 roles

Full Stack Developer Intern

Jan 2023 – Jun 2023 · 5 mos · United States

Demonstrated meticulous attention to detail in resolving over 100 bugs and implementing innovative features, resulting
in a 30% increase in website performance and enhanced user experience for Accern’s website.
Proactively participated in improving code clarity, readability, and maintainability, resulting in a 20% reduction in code
complexity and a 25% increase in development efficiency.
Applied industry best practices and coding standards while collaborating effectively with the development team,
contributing to a 40% decrease in deployment time and fostering an environment of productivity and high-quality output.

Node.jsGraphQLReact.jsTypeScript

Software Engineer Intern

Jun 2022 – Jul 2022 · 1 mo · United States

Worked on CI/CD pipelines by integrating and automating the deployment of applications.
Utilized **Apache Spark** for distributed data processing to handle large-scale data efficiently.
Integrated **Apache Kafka** for real-time data streaming, enabling reliable event-driven architecture.
Leveraged **Argo Workflows** to orchestrate and automate complex workflows within Kubernetes.
Streamlined the continuous integration and delivery process, ensuring smooth deployment of microservices.
Enabled real-time data processing and event streaming, enhancing system responsiveness and scalability.

dockerSQLApache KafkaJavaApache Spark