Full-Stack Python Developer with 11 years of experience in designing, developing, and optimizing high performance applications across web, desktop, data science, and cloud environments. Proficient in a diverse range of P…
Full-Stack Python Developer with 11 years of experience in designing, developing, and optimizing high performance applications across web, desktop, data science, and cloud environments. Proficient in a diverse range of Python frameworks, libraries, and tools, with deep expertise in modern frontend technologies and scalable backend architectures. Skilled in leading end-to-end software development lifecycles, modernizing legacy systems, and building maintainable, scalable applications. Recognized for delivering robust data driven solutions, seamless system integrations, and workflow optimizations by leveraging Python’s versatility and power. Passionate about collaboration, automation, and performance optimization to drive innovation
and efficiency in software development.
Designed and deployed high-performance RESTful APIs using Django REST Framework and Flask, processing 10M+ monthly transactions.
Developed scalable microservices with FastAPI and Docker, improving response times by 40%.
Built real-time data dashboards with Plotly Dash and Flask for business intelligence.
Integrated AI-driven recommendation engines into cloud services using AWS Lambda and S3.
Led monolithic-to-microservices migration, ensuring seamless Kubernetes deployments.
Automated CI/CD pipelines with GitHub Actions and Jenkins, streamlining testing and deployment.
Mentored junior developers in Python best practices, test-driven development, and data processing.
Managed cloud infrastructure with AWS (EC2, S3, Lambda, RDS) for high availability.
Implemented OAuth2, JWT authentication, and role-based access control (RBAC) for API security.
Optimized database performance with PostgreSQL, MySQL, and MongoDB, ensuring efficient queries.
Designed asynchronous task processing with Celery & Redis, improving background job execution.
Designed and deployed high-performance RESTful APIs using Django REST Framework and Flask, processing 10M+ monthly transactions.
Developed scalable microservices with FastAPI and Docker, improving response times by 40%.
Built real-time data dashboards with Plotly Dash and Flask for business intelligence.
Integrated AI-driven recommendation engines into cloud services using AWS Lambda and S3.
Led monolithic-to-microservices migration, ensuring seamless Kubernetes deployments.
Automated CI/CD pipelines with GitHub Actions and Jenkins, streamlining testing and deployment.
Mentored junior developers in Python best practices, test-driven development, and data processing.
Managed cloud infrastructure with AWS (EC2, S3, Lambda, RDS) for high availability.
Implemented OAuth2, JWT authentication, and role-based access control (RBAC) for API security.
Optimized database performance with PostgreSQL, MySQL, and MongoDB, ensuring efficient queries.
Designed asynchronous task processing with Celery & Redis, improving background job execution.
Developed a Django + React e-commerce platform, increasing user engagement by 25%.
Optimized backend workflows with Celery and RabbitMQ, improving system reliability.
Built ETL pipelines using Apache Airflow, reducing reporting delays by 50%.
Enhanced API performance with SQLAlchemy optimizations and Redis caching.
Integrated third-party APIs (Stripe, PayPal, social media) for seamless payments and user interactions.
Implemented automated testing frameworks, achieving 90% code coverage and 60% fewer production
bugs.
Led DevOps initiatives, containerizing applications with Docker and deploying on AWS ECS.
Developed a Django + React e-commerce platform, increasing user engagement by 25%.
Optimized backend workflows with Celery and RabbitMQ, improving system reliability.
Built ETL pipelines using Apache Airflow, reducing reporting delays by 50%.
Enhanced API performance with SQLAlchemy optimizations and Redis caching.
Integrated third-party APIs (Stripe, PayPal, social media) for seamless payments and user interactions.
Implemented automated testing frameworks, achieving 90% code coverage and 60% fewer production bugs.
Led DevOps initiatives, containerizing applications with Docker and deploying on AWS ECS.
Developed a logistics tracking system with Flask and MongoDB, improving supply chain efficiency.
Conducted large-scale data analysis using NumPy and Pandas, generating insights for finance teams.
Built NLP models with NLTK and spaCy for text classification.
Designed SOAP & REST APIs, ensuring compatibility across legacy and modern systems.
Optimized PostgreSQL queries, reducing execution time and database overhead.
Automated recurring tasks, saving 500+ hours annually through Python scripting.
Ensured code reliability with PyTest-driven unit and integration testing.
Developed a logistics tracking system with Flask and MongoDB, improving supply chain efficiency.
Conducted large-scale data analysis using NumPy and Pandas, generating insights for finance teams.
Built NLP models with NLTK and spaCy for text classification.
Designed SOAP & REST APIs, ensuring compatibility across legacy and modern systems.
Optimized PostgreSQL queries, reducing execution time and database overhead.
Automated recurring tasks, saving 500+ hours annually through Python scripting.
Ensured code reliability with PyTest-driven unit and integration testing.
Contributed to a Django-based client management system, streamlining onboarding workflows.
Improved frontend responsiveness using AJAX and jQuery with Flask backends.
Automated data extraction from multiple sources with BeautifulSoup and Selenium.
Developed batch-processing scripts for financial data, optimizing reporting efficiency.
Created data exploration prototypes in Jupyter Notebooks.
Assisted in code reviews, enforcing PEP 8 standards and clean documentation.
Contributed to a Django-based client management system, streamlining onboarding workflows.
Improved frontend responsiveness using AJAX and jQuery with Flask backends.
Automated data extraction from multiple sources with BeautifulSoup and Selenium.
Developed batch-processing scripts for financial data, optimizing reporting efficiency.
Created data exploration prototypes in Jupyter Notebooks.
Assisted in code reviews, enforcing PEP 8 standards and clean documentation.
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