Shakeel Afridi

Developed and delivered robust microservices and APIs using Django and DRF, with a 100% on-time delivery rate.

Proficient in React for frontend development, building dynamic and responsive user interfaces within the project, while integrating with Django backend services.

Built React components with a focus on responsive design, ensuring a consistent and engaging user interface across devices.

Optimized PostgreSQL databases through effective database indexing and query optimization techniques, enhancing data retrieval speed and efficiency.

Established automation testing frameworks with Jest, and Selenium, ensuring the quality and reliability of software releases.

Configured and implemented CI/CD pipelines using GitHub Actions, Docker, Kubernetes, Helm, and Shell & Python scripting, streamlining the software development lifecycle.

Enhanced overall system reliability by building a real-time log monitoring and alerting system using AWS Lambda and Elasticsearch, ensuring prompt identification and resolution of issues.

Managed deployments and infrastructures using AWS services such as EC2, S3, Cognito, Lambda, CDK, SNS, and SQS.

Collaborated closely with Product Managers, Designers to deliver high quality solutions aligned with business objectives.

Automate repetitive task using AI Agents, LLM workflows, n8n and MCP.

Implemented real-time data fetching and broadcasting using Websockets, Django Channels, Celery, and Redis, enabling instant data updates across systems.

Contributed to a mentorship program and provided guidance to five
new hires, fostering their professional growth and
development.

Acquired expertise in security best practices and compliance standards within Healthcare and Fintech sectors, including HIPAA, CMS, FERPA, GDPR, and KYC, ensuring adherence to regulatory requirements and safeguarding sensitive data

• Developed and delivered robust microservices and APIs using Django and DRF, with a 100% on-time delivery rate.
• Proficient in React for frontend development, building dynamic and responsive user interfaces within the project, while
integrating with Django backend services.
• Built React components with a focus on responsive design, ensuring a consistent and engaging user interface across devices.
• Optimized PostgreSQL databases through effective database indexing and query optimization techniques, enhancing data
retrieval speed and efficiency.
• Established automation testing frameworks with Jest, and Selenium, ensuring the quality and reliability of software releases.
• Configured and implemented CI/CD pipelines using GitHub Actions, Docker, Kubernetes, Helm, and Shell & Python
scripting, streamlining the software development lifecycle.
• Enhanced overall system reliability by building a real-time log monitoring and alerting system using AWS Lambda and
Elasticsearch, ensuring prompt identification and resolution of issues.
• Managed deployments and infrastructures using AWS services such as EC2, S3, Cognito, Lambda, CDK, SNS, and SQS.
• Collaborated closely with Product Managers, Designers to deliver high-quality solutions aligned with business objectives.
• Automate repetitive task using AI Agents, LLM workflows, n8n and MCP.
• Implemented real-time data fetching and broadcasting using Websockets, Django Channels, Celery, and Redis, enabling
instant data updates across systems.
• Contributed to a mentorship program and provided guidance to five new hires, fostering their professional growth and
development.
• Acquired expertise in security best practices and compliance standards within Healthcare and Fintech sectors, including
HIPAA, CMS, FERPA, GDPR, and KYC, ensuring adherence to regulatory requirements and safeguarding sensitive data.
• Implemented backend unit testing using PyTest with 85%+ coverage integrated into CI/CD pipelines.
• Built centralized logging and monitoring using ELK stack with alerting for production systems.
• Worked with ML workflows using Pandas, NumPy, and integrated LLM-based systems; familiar with SciKit-Learn
pipelines.
• Designed and implemented GraphQL APIs for efficient client-side data fetching.
• Applied SRE principles including monitoring, alerting, and reliability improvements across microservices.

• Expertise in React for developing intuitive and high-performance front-end applications, ensuring seamless integration and
enhancing overall user experience.
• Developed robust APIs utilizing Python, Django, DRF, and Django ORM seamlessly connecting and querying databases
with PostgreSQL and MySQL.
• Proficient in crafting clean and reusable React components, implementing modern design principles to create visually
appealing and user-friendly interfaces that enhance overall application usability.
• Successfully transitioned from a monolithic infrastructure to a microservices-based architecture, promoting scalability,
flexibility, and synchronization within the system framework.
• Automated API monitoring and workload control through Python scripting, ensuring optimal performance and reliability
of microservices while leveraging external APIs and AWS API Gateway.
• Implemented and managed message queuing systems to enable asynchronous processing, decoupled communication, and
scalable distribution of tasks within distributed software architectures using RabbitMQ and Kafka.
• Managed deployments of services using Docker, Kubernetes, AWS EC2, S3, ECS, EKS, ALB/NLB, DyamoDB, RDS, API
Gateway and CloudFormation, ensuring seamless scalability and reliability of applications in dynamic cloud environments.
• Developed Multi-Factor Authentication (MFA), Single Sign-On (SSO), Role-Based Access Control (RBAC), session
management, strong password policies, custom throttling and caching mechanisms.
• Implemented automation scripts and conducted performance testing to maintain project efficiency throughout the lifecycle.
• Managed end-to-end deployment processes and ensured the reliability of critical systems on AWS Route 53 and EC2
instances, supporting day-to-day operations and business continuity for clients and stakeholders.
• Implemented and managed message queuing systems to enable asynchronous processing, decoupled communication, and
scalable distribution of tasks within distributed software architectures using RabbitMQ and Kafka.
• Conducted pre-processing and analysis of large datasets using Python, Numpy, Pandas, and Scipy, extracting valuable
insights for informed decision-making.
• Ensured code quality using PEP8 standards and static analysis tools like SonarQube.
• Deployed Python applications using Gunicorn behind NGINX for scalable production environments.
• Participated in on-call rotations and resolved production issues within SLA timelines.
• Hands-on experience with distributed data processing and orchestration tools including Apache Spark, Airflow, Beam,
Flink, and Ray, applied in building scalable data pipelines and stream processing systems.