Samudrala Nikhil

Software Engineer

United States0 mo experience

Key Highlights

Built scalable backend systems for real-time applications.
Reduced system latency by up to 30% through optimization.
Developed ML-powered APIs for real-time predictions.

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

Contact

samudralanikhilkumar@gmail.com LinkedIn

Skills

Core Skills

Backend DevelopmentCloud PlatformsDistributed SystemsMicroservices Architecture

Other Skills

PythonAWS LambdaAPI GatewayDynamoDBFastAPIFlaskWebSocketsAWS CDKCloudFormationCloudWatchJavaSpring BootAWSKafkaApache Spark

About

Software Engineer with 5+ years of experience building scalable backend systems and distributed applications across cloud environments. I specialize in software engineering, focusing on backend development, distributed systems, and cloud-native architectures using Python (FastAPI, Flask) and AWS. I also bring strong experience in Java (Spring Boot) and .NET for building enterprise-grade applications. My work centers around designing high-performance APIs, event-driven systems, and microservices that handle real-time data and large-scale workloads. Key strengths: • Backend development using Python, Java, and .NET • Distributed systems & microservices architecture • Cloud platforms: AWS (Lambda, API Gateway, DynamoDB, S3) • Event-driven systems using Kafka • REST APIs and real-time system design Impact highlights: • Built scalable backend systems supporting real-time applications and high-volume traffic • Reduced system latency by up to 30% through performance optimization and efficient design • Processed large-scale data using Kafka and event-driven architectures • Developed and deployed ML-powered APIs for real-time predictions I’m actively seeking Software Engineer / Backend roles with a strong focus on Python, while leveraging my experience in Java and .NET to build robust, scalable systems. Let’s connect and build impactful systems.

Experience

Amazon

Software Development Engineer

Jun 2025 – Mar 2026 · 9 mos · Bellevue, WA · On-site

Designed and built end-to-end Python backend systems using AWS Lambda, API Gateway, and DynamoDB for real-time workflow applications
Developed scalable REST APIs using FastAPI/Flask for high-performance data processing and system integrations
Architected event-driven microservices enabling real-time updates using WebSockets and asynchronous communication
Designed and optimized NoSQL data models in DynamoDB for high-throughput and low-latency access patterns
Implemented infrastructure as code using AWS CDK and CloudFormation for automated, multi-environment deployments
Integrated machine learning models into backend services, exposing prediction APIs for real-time analytics
Built monitoring and alerting solutions using AWS CloudWatch, improving system reliability and observability
Collaborated across frontend, backend, and DevOps teams to define scalable architecture and API contracts
Optimized backend services to reduce latency and improve performance under high-load conditions
Delivered end-to-end features from design to deployment for distributed, cloud-native systems

PythonAWS LambdaAPI GatewayDynamoDBFastAPIFlask+6

Rk software services llc

Software Engineer

Feb 2023 – Jun 2025 · 2 yrs 4 mos · United States · Remote

Designed and developed end-to-end backend systems using Python and Java (Spring Boot) for high-performance transaction processing
Built scalable Python APIs (FastAPI/Flask) for real-time machine learning predictions and analytics
Architected microservices-based systems using AWS (Lambda, DynamoDB, S3) for cloud-native applications
Implemented event-driven architectures using Kafka and Apache Spark to process large-scale data streams
Developed and deployed 7+ production-grade microservices supporting healthcare and financial systems
Improved system performance by 30% through backend optimization, caching, and efficient data processing
Built AI-powered chatbot systems using Node.js and Microsoft Bot Framework, improving engagement by 45%
Integrated OpenAI APIs into enterprise workflows to enhance decision-making and automation
Implemented secure authentication and authorization using OAuth2 and Spring Security
Designed and deployed end-to-end ML pipelines including data preprocessing, model training, and API deployment
Automated CI/CD pipelines using Jenkins, Docker, and GitHub, reducing deployment time by 50%
Ensured high availability and scalability of backend systems under heavy workloads

PythonJavaSpring BootFastAPIFlaskAWS+6

Cmr infotechs pvt.ltd

Software Engineer

Jan 2021 – Apr 2022 · 1 yr 3 mos · India · On-site

Developed end-to-end backend services using Java (Spring Boot), Python, and .NET (C#) for enterprise banking and healthcare systems
Designed and implemented RESTful APIs, improving system performance and reducing latency by 30%
Built scalable microservices architecture supporting high-volume transaction processing systems
Developed backend services using .NET Core and C# for secure and high-performance enterprise applications
Designed and optimized backend systems for EHR and healthcare data processing, improving data retrieval speed by 15% and reducing query execution time by 20%
Built responsive web interfaces using HTML, CSS, Bootstrap, React, and TypeScript, improving user experience and portal engagement
Implemented secure authentication and authorization using AWS Cognito, IAM roles, and least-privilege access policies
Designed real-time data pipelines using Kafka and PySpark for event-driven processing and anomaly detection
Optimized CI/CD pipelines, increasing deployment frequency by 35% and reducing production issue resolution time by 25%
Integrated machine learning models into backend systems for predictive analytics and intelligent insights
Optimized database performance (PostgreSQL, Snowflake), improving query execution time by 60%
Led development of patient engagement and feedback features, improving customer satisfaction and retention
Collaborated with cross-functional teams to deliver scalable, secure, and distributed enterprise applications