Python Developer

ANUSHA MARELLA

+1-660-***-**** ***************@*****.***

Linkedin: https://www.linkedin.com/in/anusha-marella-55048b101/

PROFESSIONAL SUMMARY:

•Specialized in leveraging generative AI technologies, including large language models, to build intelligent and scalable AI-powered solutions.

•Deployed containerized GenAI microservices using Docker and Kubernetes on cloud platforms such as Azure and AWS.

•Designed and optimized RESTful APIs and database schemas specifically for AI data orchestration and seamless interaction with generative AI models.

•Skilled in advanced prompt engineering techniques to tune LLM outputs for improved accuracy, relevance, and contextual understanding across diverse business use cases.

•Expert in Python (Django, Flask) with proven ability to architect RESTful and GraphQL API applications supporting high availability and scalability.

•Designed and implemented scalable ETL pipelines to extract, transform, and load structured and semi-structured data from multiple sources into relational databases.

•Strong SQL and NoSQL database skills working with Oracle, SQL Server, MySQL, MongoDB, and Cassandra to support large-scale AI datasets.

•Hands-on experience with cloud and DevOps practices, including Docker, CI/CD pipelines, Azure and AWS deployments, and infrastructure automation.

•Implemented comprehensive automated testing for AI components using JMeter and Selenium to ensure robust software reliability and quality.

•Proven track record of implementing secure, compliant systems, including role-based access control (RBAC), authentication, authorization, and encrypted data handling.

•Hands-on experience with cloud and DevOps practices, including Docker, CI/CD pipelines, Azure/AWS deployments, and infrastructure automation.

•Built dashboards powered by AI-informed metrics to provide actionable insights on vendor performance and processing reliability.

•Recognized for technical leadership, including code reviews, mentoring junior developers, enforcing clean architecture, and promoting best coding practices.

•Owned end-to-end delivery of backend features, breaking down roadmap initiatives into technical milestones, estimating effort, identifying risks, and ensuring predictable delivery.

TECHNICAL SKILLS:

Languages & Frameworks : Python, Django, Flask, FastAPI, GraphQL

Databases : PostgreSQL, MySQL, SQLAlchemy, Oracle, MongoDB

Frontend : JavaScript, React, NodeJS, HTML5, CSS3

Cloud & DevOps : Microsoft Azure, AWS, GCP, Docker, CI/CD Pipelines

Operating systems : Windows, Linux, Unix, MacOS

Testing & QA : PyTest, Unit Testing, Integration Testing, JMeter, Selenium

Tools & Platforms : Git, GitHub, GitLab, Postman, Swagger (OpenAPI)

IDE : PyCharm, Eclipse, Jupyter Notebook, Visual Studio Code

PROFESSIONAL EXPERIENCE

Python Developer

Molina Healthcare Feb 25 - Present

Responsibilities:

•Developed backend services using Django and FastAPI to expose secure REST APIs for internal trading, compliance, and analytics dashboards.

•Built responsive user interfaces with React, JavaScript, HTML5, and CSS3 to display AI generated insights, enabling traders, analysts, and compliance officers to interact with LLM powered market analysis and risk assessment tools through secure web portals.

•Deployed containerized LLM services using Docker and Kubernetes on AWS to support scalable and portable AI infrastructure for financial document analysis and regulatory reporting automation.

•Implemented secure cloud deployments on AWS and Azure, ensuring high availability, data encryption, and role-based access control for financial applications.

•Identified and resolved edge cases in complex healthcare data validation workflows, preventing downstream data integrity issues.

•Implemented JSON-based standardized data contracts to streamline vendor onboarding and improve interoperability across financial systems.

•Ensured compliance with secure authentication standards (JWT, OAuth 2.0) and implemented API-level security controls for sensitive financial data.

•Optimized high-volume data processing algorithms to reduce latency and improve throughput.

•Authored detailed technical documentation explaining system architecture, data flows, and API behavior for cross-functional stakeholders.

•Designed AI-assisted document validation pipelines to analyze structured and semi-structured vendor files (PDF, CSV, XML).

•Evaluated multiple Python libraries for data processing and implemented scalable solutions based on business and performance requirements.

•Designed scalable ETL processes to ingest large document batches into relational databases.

Software Engineer

Valuelabs, Hyderabad, IN May 22 - May 24

Responsibilities:

•Led the design and development of healthcare applications using Python (FastAPI, Django), delivering scalable, secure and high availability backend systems.

•Built optimized REST APIs using Python (Flask) to perform CRUD operations across heterogeneous data sources, including PostgreSQL, MySQL, MS SQL Server, MongoDB, flat files, and CSV/Excel inputs

•Collaborated with front-end and UX teams to integrate AI outputs into user-facing applications, ensuring seamless and intuitive user experiences.

•Developed Micro services to communicate using synchronous protocols HTTP and REST for implementing SOA.

•Developed python-based REST APIs with Django Framework to serve LLM predictions in real-time applications.

•Built backend services to support real-time and batch data processing, enabling reliable analytics and operational insights from connected wellness devices.

•Automated deployment processes and monitored system health using Azure logging, dashboards, and metrics, improving uptime and operational visibility.

•Identified and resolved edge cases in complex healthcare data validation workflows, preventing downstream data integrity issues.

•Refactored legacy systems into Python-based architectures optimized for LLM inference and integration with APIs.

•Conducted API load and performance testing using JMeter, validating system stability and scalability under high-traffic and data-intensive conditions.

•Integrated backend services with mobile platforms (iOS and Android) to validate end-to-end data flow between devices, backend systems, and client applications.

•Used Jenkins and pipelines to drive all micro services builds out to the Dockers registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

•Used CI/CD tools Jenkins, Git and Dockers registry for configuration and automation.

•Used Git and GitHub to manage prompt templates, model scripts, and collaborative development workflows.

•Designed and deployed cloud-native, containerized microservices across AWS and Azure environments, ensuring scalability, security, and high availability in production systems.

Environment:

Python 3.10, Django, Flask, Django REST Framework (DRF), GraphQL, RESTful APIs, JWT, JavaScript, React, MySQL, PostgreSQL, MongoDB, AWS, Microsoft Azure, Docker, Kubernetes, Postman, Git, GitHub, PyCharm, Eclipse, Jupyter Notebook

Data Engineer

Vyapar App, Bengaluru, IN Mar 22 – May 22

Responsibilities:

•Developed and enhanced backend features using Python (Django) to support an admin and customer success dashboard, enabling efficient data monitoring and user management.

•Built and optimized RESTful APIs and database queries using MySQL, improving data retrieval performance and ensuring reliable backend operations.

•Implemented web scraping solutions using Python and Selenium to automatically collect and process lead data from multiple external sources.Deployed backend services on Google Cloud Platform (GCP) using Compute Engine and Cloud Run for scalable application hosting.

•Containerized applications using Docker and managed source code with GitLab, supporting consistent environments and streamlined CI/CD workflows.

•Created, produced, and consumed REST web services to serve user requests and for third party systems.

•Designed and implemented logging, monitoring, and health-check APIs to track application performance, identify issues early, and improve system reliability.

Environment:

Python 3.10, Django, Django REST Framework (DRF), RESTful APIs, JWT, JavaScript, React, MySQL, PostgreSQL, MongoDB, Microsoft Azure, Docker, Postman, Git, GitHub, PyCharm, Jupyter Notebook

Software Developer

Cowhite Software Pvt Ltd, Hyderabad, IN April 17 – Feb 22

Responsibilities:

•Designed, developed, and maintained scalable web applications using Python (Django, Flask) and React, supporting end-to-end functionality from database models to user interfaces.

•Developed dynamic and responsive UI components using React, JavaScript (ES6+), HTML, and CSS, ensuring cross-browser compatibility and improved user experience.

•Architected and implemented RESTful APIs with proper versioning, authentication, and input validation to enable secure and efficient communication between backend services and frontend applications.

•Served optimized production-ready React builds through Django and Nginx, configuring reverse proxy, static asset handling, and environment-specific settings for streamlined deployments.

•Designed and optimized relational database schemas using PostgreSQL and MySQL, implementing indexing strategies, query optimization, and transaction management to improve performance and data integrity.

•Leveraged Django ORM and raw SQL for complex queries, ensuring efficient data retrieval and reduced API response latency.

•Built ETL-style ingestion pipelines to validate, transform, and load healthcare datasets with integrated data quality checks.

•Followed structured SDLC processes including requirement analysis, technical design documentation, implementation, testing, deployment, and post-production support.

•Deployed backend services on Google Cloud Platform (GCP) using Compute Engine and Cloud Run, configuring scalable environments with environment variables, networking, and secure access controls.

•Implemented automated web scraping solutions using Python and Selenium to collect, validate, and transform external data sources into structured datasets for downstream processing.

•Containerized applications using Docker, creating reproducible development and deployment environments across local, staging, and production systems.

•Configured and maintained CI/CD pipelines using GitLab to automate build, test, and deployment workflows, reducing manual errors and improving release efficiency.

•Evaluated alternative implementation strategies for complex backend features, documenting trade-offs in performance, scalability, and maintainability.

•Collaborated with cross-functional teams including QA, product, and DevOps to deliver features within Agile sprint cycles and improve overall engineering velocity.

Environment:

PyCharm, Visual Studio, Postman, MVT, ORM, Django REST Framework (DRF), REST, SOAP, OpenAPI, Swagger, JSON, MySQL, PostgreSQL, Oracle, Azure, AWS, GCP, PyTest, Agile, Docker, GitLab, Git, ETL, DevOps, Selenium, JMeter

EDUCATION:

•Master’s in Information Studies from Trine University, Detroit, MI in 2025

•Bachelor’s in Computer Science Engineering from VVIT, Guntur, India in 2017

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