Lingareddygari Sai Rishitha Reddy
Software Engineer - Python, Django • United States • r**********@gmail.com • +13******227 • linkedin.com/••••• • sai-rishitha-reddy-lingareddygari.netlify.app/•••••
Professional Summary
Software Engineer with 5+ years of experience developing scalable full stack applications and microservices using Python, Django, FastAPI, and React. Improved system throughput by 30% and reduced API latency by 120 ms across healthcare and insurance platforms. Experienced in cloud-native development, secure API design, and AI/LLM integration, delivering efficient, reliable solutions that enhance system performance and support data-driven business operations.
Technical Skills
Programming Languages: Python,JavaScript
Frontend Development: React.js,Bootstrap,Angular
Backend Development: Django,Django REST Framework,Flask,FastAPI,RESTful APIs,Microservices,OAuth 2.0,JWT,API Gateway
Databases: PostgreSQL,MySQL,MongoDB,Database Indexing,Query Optimization
Cloud Platforms & DevOps Tools: AWS,EC2,S3,RDS,Docker,Jenkins,AWS CodePipeline,CI/CD,Kubernetes,GitHub Actions
AI & Machine Learning: OpenAI APIs,LangChain,Prompt Engineering,NLP,LLMs
Data Streaming & Messaging: Kafka,Event-Driven Architecture
Testing & Quality: PyTest,Selenium,Postman,Unit Testing,Integration Testing
Methodologies: Agile,Scrum,Distributed Systems
Work Experience
Cigna
Software Engineer
Aug 2024 – Present
Tech Stack: Python, Django, FastAPI, REST APIs, PostgreSQL, OpenAI APIs, LangChain, NLP, OAuth 2.0, JWT, AWS, Kafka, Docker, Git, GitHub, CI/CD
- Architected scalable backend services for healthcare claims processing using Django, FastAPI, PostgreSQL, and distributed microservices, improving system throughput by 30% and accelerating adjudication workflows
- Developed secure RESTful APIs for claims ingestion and analytics pipelines across distributed healthcare systems using OAuth 2.0 and AWS services, ensuring HIPAA-compliant data exchange and high availability.
- Streamlined manual claim review inefficiencies by implementing AI-powered summarization using OpenAI APIs, LangChain, and NLP techniques, reducing analyst review time by 2 hours per day.
- Collaborated with a cross-functional team of 8+ engineers, analysts, and product stakeholders in an Agile/Scrum environment, delivering cloud-native microservices aligned with enterprise healthcare standards.
- Implemented event-driven data pipelines using Kafka and FastAPI-based microservices, enabling real-time claim processing and improving system responsiveness.
- Automated CI/CD workflows using AWS CodePipeline, Docker, Git, and GitHub, reducing deployment time from 20 minutes to 8 minutes and improving release reliability.
Liberty Mutual Insurance
Software Engineer
Apr 2021 – Jul 2023
Tech Stack: Python, Django, Flask, Django REST Framework, REST APIs, PostgreSQL, MySQL, MongoDB, RBAC, OAuth 2.0, JWT, Encryption, Docker, Jenkins, Git, GitHub, CI/CD
- Designed backend services and microservices for policy administration and claims systems using Django and Flask, reducing API latency by 120 ms
- Built scalable RESTful APIs for policy administration and customer data integration using Django REST Framework and MySQL/PostgreSQL, enhancing data accessibility and system reliability across platforms.
- Resolved slow data retrieval challenges by implementing MongoDB indexing and query optimization strategies, improving data access speed by 35% for large datasets.
- Coordinated with a team of 6+ engineers and product stakeholders to design and deliver microservices-based architectures, ensuring seamless integration across insurance applications.
- Implemented secure backend systems using RBAC, OAuth 2.0, JWT, and encryption mechanisms, strengthening data security and compliance standards.
- Containerized and deployed applications using Docker and AWS, enabling zero-downtime deployments and improved CI/CD efficiency.
Best Buy
Software Engineer
Aug 2019 – Apr 2021
Tech Stack: Python, JavaScript, React.js, Angular, Bootstrap, REST APIs, Kafka, Selenium, PyTest, Postman
- Improved e-commerce platform performance by optimizing React.js frontend and backend APIs using Python services, reducing page load time by 300 ms and enhancing user experience.
- Developed full-stack features for inventory and order management systems using React.js, Angular, and RESTful APIs, enabling near real-time synchronization across platforms.
- Resolved inventory synchronization delays by designing asynchronous processing workflows using Kafka, improving data consistency by 40% across distributed systems.
- Partnered with a team of 5+ developers, QA engineers, and UX designers in an Agile environment, delivering responsive and accessible applications aligned with business goals.
- Implemented automated testing using Selenium, PyTest, and Postman, improving regression testing efficiency and reducing production defects.
Education
Texas A&M University Kingsville
Master of Science in Computer Science • Texas, USA • Aug 2023 – May 2025
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