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KAVITHA - Python Fullstack Developer

anurag.y@tekservs.com

Location: Denver, Colorado, USA

Relocation: Open

Visa: H1B

Resume file: KavithaL_Python_Developer1_1748902222820.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

KAVITHA L Phone No: 737-667-7147 Email: kavitha9490l@gmail.com Work Auth: EAD www.linkedin.com/in/kavithal94 SUMMARY Versatile and highly skilled Python Developer with 6+ years of hands-on experience in developing and delivering robust, scalable software solutions Expertise in Python and its frameworks such as Django, Flask, and FastAPI for building web applications, microservices, and APIs Strong command over cloud platforms like AWS, Google Cloud Platform (GCP), and Azure, utilizing services such as Lambda, EC2, S3, Cloud Functions, and Kubernetes for application deployment, scaling, and performance optimization Extensive experience with DevOps tools such as Docker, Kubernetes, Terraform, Ansible, and Jenkins for automating CI/CD pipelines and infrastructure as code (IaC) Proficient in version control systems like Git, and Bitbucket, and skilled in Agile methodologies, SDLC, leading scrum teams and contributing to sprints Possess a strong UX/UI sensibility with a focus on designing intuitive, user-centric interfaces that enhance overall user experience and functionality. Solid experience in database management using PostgreSQL, MySQL, MongoDB, SQLite, and NoSQL databases, with expertise in writing efficient SQL queries and performing database optimizations Hands-on experience with message queuing systems like Kafka, RabbitMQ, and ActiveMQ for building real-time, event-driven architectures Knowledgeable in data engineering tools like PySpark, Apache Spark, and ETL pipelines, working on big data environments for data processing and analytics Strong grasp of OOP principles, multithreading, concurrency, and asynchronous programming with Python s asyncio Experience in Designing cloud-native applications using AWS services like Lambda, EC2, S3, RDS, and API Gateway to deliver scalable microservices. Experience in AWS CloudFormation and Terraform to manage infrastructure as code, ensuring consistent, repeatable deployments. Worked on Configure monitoring and alerting with CloudWatch and SNS for proactive system health checks and anomaly detection. Employed AWS IAM roles, policies, and security groups to enforce least privilege and secure application components. Led cloud migration initiatives and collaborated with DevOps to optimize cost, performance, and reliability of AWS-hosted solutions. Adept at using test automation frameworks like PyTest, JUnit, and Selenium for developing comprehensive unit tests, functional tests, and automated test suites to ensure application stability and reliability Well-versed in API development and integration, including GraphQL, RESTful, and SOAP services, and proficient with front-end technologies like HTML, CSS, modern JS, React, and Angular to collaborate with front-end teams for full-stack development Built and maintained automated testing frameworks using tools like JUnit and Selenium, significantly reducing manual testing effort and improving regression testing reliability. Passionate about staying up-to-date with the latest advancements in machine learning (ML), artificial intelligence (AI), and natural language processing (NLP) using libraries such as TensorFlow, Keras, PyTorch, and Hugging Face Participated in client meetings to present AI solution architecture, clarify use cases, and recommend model deployment strategies. Experience in translating business requirements into AI-based technical implementations, aligning client needs with ML capabilities. Strong interpersonal and communication skills, with a proven track record of mentoring junior developers, leading cross-functional teams, and delivering high-quality solutions under tight deadlines Always striving for continuous improvement through code reviews, peer feedback, and process optimization TECHNICAL SKILLS Languages: Python, JavaScript, SQL, C, C++, Java, GoLang Web Technologies: Django, Flask, HTML5, CSS3, XML, JSON, Bootstrap, AngularJS, React, Node.js, jQuery Database Technologies: RDBMS, SQL, NoSQL, PostgreSQL, MySQL, MongoDB, Oracle, SQLite, Redis Tools/Technologies: Git, Docker, Kubernetes, Jenkins, CI/CD, RESTful APIs, AWS, GCP, Azure, Kafka, RabbitMQ, Splunk, Palo Alto Libraries/Frameworks: NumPy, Pandas, Scipy, Matplotlib, Scikit-learn, Spring Boot, TensorFlow, PyTorch, SQLAlchemy Testing: PyTest, Selenium, JUnit, TestNG, Unit Testing, Integration Testing Cloud: AWS (EC2, S3, Lambda, RDS), GCP, Azure Version Control: Git, GitHub, Bitbucket DevOps: Docker, Jenkins, Kubernetes, Ansible, Infrastructure as Code (IAC) Agile Tools: Jira, Confluence, Trello Security & Cybersecurity: Security, Cyber Security, SecOps Operating Systems: Unix, Linux, Windows Senior Fullstack Python Developer Comcast Denver, CO Oct 2024 Present Led the development of RESTful microservices using Django and Flask, improving response times by 30% for large-scale enterprise applications. Implemented Infrastructure as Code (Iac) using Terraform and Ansible to automate provisioning of cloud resources, improving deployment speed and consistency. Developed and maintained automated end-to-end test cases using Cypress, ensuring robust regression testing and reducing manual QA efforts by over 40%. Designed and implemented NoSQL data models using DynamoDB to support highly available and low-latency backend services. Designed and deployed serverless APIs using AWS Lambda and API Gateway, enabling real-time CRUD operations on DynamoDB. Developed backend services using Node.js and Express.js for handling high-throughput RESTful API requests. Integrated third-party APIs using Node.js middleware to extend system functionality across multiple services. Integrated AWS S3 for scalable, durable object storage in data-heavy applications, enabling efficient storage of logs, backups, and static content. Developed automated Python scripts for file uploads, versioning, and lifecycle management to optimize storage costs. Developed behavior-driven test scenarios using Behave and Python for validating API behavior and edge cases. Wrote Cucumber feature files to describe application workflows and collaborated with QA on test automation strategies. Implemented S3-triggered Lambda functions to automate data processing workflows such as image resizing and metadata extraction. Integrated pre-trained AI/ML models into backend services using TensorFlow and PyTorch, enabling real-time inference via RESTful APIs. Developed model-serving infrastructure using Flask and FastAPI to expose machine learning predictions as scalable APIs. Built and deployed AI-based microservices on Google Cloud Platform (GCP) using Cloud Functions, App Engine, and Vertex AI. Implemented OWASP Top 10 security best practices including input validation, secure authentication, and error handling across all microservices. Enforced HTTPS/TLS encryption for secure data transmission and compliance with internal security policies. Collaborated with data scientists to transition models from training to production, ensuring performance benchmarks were met in live environments. Worked across all phases of the SDLC, including requirement gathering, design, development, testing, deployment, and maintenance, ensuring timely and quality delivery of software products. Architected scalable solutions using AWS Lambda and Docker containers to handle millions of transactions per day. Built dynamic, component-based UIs using React.js with Hooks and Redux for state management in a responsive web application. Collaborated with UX designers to implement pixel-perfect React components, ensuring WCAG-compliant accessibility and responsiveness. Integrated diverse software components and APIs using RESTful services and messaging queues, ensuring reliable software integration and data consistency across modules. Built automated deployment pipelines using Jenkins, integrating unit tests and monitoring tools, reducing manual deployment times by 50%. Implemented distributed data processing tasks using Celery and RabbitMQ, enhancing data aggregation by 40%. Designed and implemented NLP pipelines for tasks such as sentiment analysis, keyword extraction, and topic modeling using Hugging Face Transformers and SpaCy. Automated text classification and entity recognition processes, improving data processing efficiency by 30%. Tuned and deployed NLP models for unstructured text analysis in customer support logs and user reviews. Designed and optimized SQL queries and ORM models using SQLAlchemy, reducing database query times by 25%. Collaborated with front-end teams to create seamless user interfaces with React.js and integrated REST APIs for dynamic content rendering. Automated tasks and built efficient scripts using Python to streamline infrastructure management, saving 200+ man-hours annually. Managed container orchestration using Kubernetes, improving resource utilization and application scalability by 35%. Led a cross-functional team to implement CI/CD pipelines, reducing deployment failures by 20% through better code quality and integration testing. Integrated AWS S3 for secure, high-availability data storage, resulting in a 15% increase in data retrieval speeds. Improved system security by implementing OAuth2 and JWT authentication protocols, protecting sensitive data and reducing unauthorized access by 10%. Optimized performance monitoring using Prometheus and Grafana, reducing system downtime and response time to incidents by 40%. Worked closely with DevOps teams to establish best practices for serverless architecture, cutting infrastructure costs by 25%. Mentored junior developers on best coding practices, performance optimization, and debugging techniques, contributing to an overall 20% increase in team productivity. Integrated real-time event streaming with Kafka to improve data flow and responsiveness in high-traffic environments, reducing latency by 30%. Fullstack Python Developer Visa Austin, TX Feb 2023 Aug 2024 Developed and maintained high-quality, scalable back-end systems in Python using Flask and Django frameworks. Enhanced ETL pipelines and integrated NoSQL databases for real-time data analytics, cutting data retrieval time by 35%. Developed and deployed a Python-based web application that integrated data from multiple sources, resulting in a 25% increase in user engagement and a 20% increase in revenue. Optimized code for performance and scalability, reducing page load times by 40% and supporting a 50% increase in traffic. Ensured secure S3 bucket configurations with proper access controls, encryption, and audit logging via CloudTrail. Collaborated with DevOps teams to incorporate S3 in CI/CD pipelines, enabling seamless artifact storage and retrieval. Integrated AES encryption for at-rest data protection and applied IAM policies for role-based access control. Conducted regular static code analysis and vulnerability scanning using tools like SonarQube and Bandit to identify and remediate security issues. Optimized DynamoDB access patterns and indexing strategies to enhance query performance and reduce read/write costs. Implemented DynamoDB Streams to trigger downstream processing via Lambda for real-time data synchronization. Collaborated with cross-functional teams to design and develop a RESTful API that integrated with multiple third-party systems, resulting in a 30% increase in data accuracy and a 25% reduction in manual data entry. Created custom reusable UI components and integrated RESTful APIs to support real-time data updates and visualizations. Optimized frontend performance using lazy loading, code-splitting, and memoization techniques in React. Used Jest for unit testing React components and validating Redux state transitions and asynchronous actions. Integrated BDD frameworks into CI/CD pipelines to ensure automated validation before production releases. Utilized Node.js with AWS Lambda for building lightweight serverless functions triggered by event sources like S3 and DynamoDB. Optimized performance in Node.js applications by applying async patterns, memory profiling, and non-blocking I/O techniques. Mentored junior developers and provided technical guidance, resulting in a 30% improvement in code quality and a 15% increase in team productivity. Troubleshot and resolved technical issues for the application, resulting in a 25% reduction in support tickets and a 15% increase in customer satisfaction. Wrote and debugged code for automated tests, reducing testing time by 50% and improving overall code quality by 25%. Developed and maintained databases using SQL and NoSQL technologies, resulting in a 40% increase in data accuracy and a 20% reduction in data processing time. Collaborated with data science teams to build predictive models using NumPy, Pandas, Scikit-learn, and TensorFlow, improving accuracy by 20%. Refactored legacy systems into modular microservices using Docker and Kubernetes, resulting in a 40% increase in application scalability. Wrote comprehensive test suites using PyTest and improved application stability through unit and integration tests. Implemented secure authentication mechanisms using OAuth and JWT for user-based APIs, enhancing data security. Python Developer Infosys Limited - Hyderabad, India Nov 2020 Dec 2022 Designed and deployed back-end systems using Python, Django, and PostgreSQL for e-commerce applications serving over 50,000 users. Developed and deployed a Python-based web application that increased user engagement by 25% and reduced bounce rate by 15%. Collaborated with a team of developers to optimize code for performance and scalability, resulting in a 30% improvement in application speed. Applied fine-grained IAM roles and encryption settings for secure data access and compliance with organizational policies. Created and maintained documentation for the application, ensuring ease of use for future developers and reducing onboarding time by 20%. Collaborated with stakeholders to optimize code for performance and scalability, resulting in a 30% increase in system efficiency and a 15% reduction in operational costs. Developed and maintained databases using SQL and NoSQL technologies, resulting in a 40% increase in data accuracy and a 20% reduction in data processing time. Created custom Python modules for API integration, boosting system performance by 15%. Utilized AWS services (EC2, S3, RDS) for deploying and managing cloud-hosted applications, ensuring 99.9% uptime. Worked with Agile/Scrum methodology and actively participated in sprint planning, delivering key features on time. Led database optimization and migration tasks, reducing page load times by 25% across multiple client platforms. Python Developer Syntel - Hyderabad, India Oct 2018 Oct 2020 Developed and maintained enterprise-level web applications using Python and Java, focusing on scalability and performance improvements. Wrote unit tests to ensure robust code quality and participated in peer code reviews to maintain coding standards. Helped automate repetitive tasks using Python scripts, improving productivity and reducing errors by 15%. Assisted in building RESTful APIs and integrated third-party services, enhancing application functionality and user experience. Collaborated with cross-functional teams to gather requirements, analyze business needs, and provide software solutions that improved operational efficiency. Participated in the full SDLC, including design, coding, testing, and deployment, ensuring timely and successful project delivery. Developed automated scripts in Python for infrastructure monitoring, reducing downtime and manual intervention by 20%. Utilized SQL and NoSQL databases to store and manage data, optimizing query performance and reducing system load times by 15%. Implemented agile development practices and contributed to sprint planning, effectively delivering key features on time. Participated in code reviews and debugging sessions, ensuring high-quality and maintainable code. Keywords: cprogramm cplusplus continuous integration continuous deployment quality analyst artificial intelligence machine learning user interface user experience javascript sthree Colorado Texas