- Served as Team Lead, mentoring junior and mid-level engineers, driving code reviews to ensure top code quality, and guiding key architectural decisions. - Engineered scalable and secure RESTful APIs using Python 3.12 and Django Rest Framework for a client-facing financial analytics platform. - Implemented asynchronous processing architectures utilizing Celery and AWS SQS to handle computationally intensive, large bulk update operations. - Optimized PostgreSQL database schemas for high-performance querying and data integrity across massive financial datasets. - Contributed to the architectural design of interconnected applications, ensuring high availability, modularity, and environment scaling. - Containerized applications with Docker and supported deployment orchestration through Kubernetes. - Maintained automated CI/CD pipelines via GitHub Actions and built reliable infrastructure leveraging core AWS services.

Served as Team Lead, mentoring junior and mid-level engineers, driving code reviews to ensure top code quality, and guiding key architectural decisions. Engineered scalable and secure RESTful APIs using Python 3.12 and Django Rest Framework for a client-facing financial analytics platform. Implemented asynchronous processing architectures utilizing Celery and AWS SQS to handle computationally intensive, large bulk update operations. Optimized PostgreSQL database schemas for high-performance querying and data integrity across massive financial datasets. Contributed to the architectural design of interconnected applications, ensuring high availability, modularity, and environment scaling. Containerized applications with Docker and supported deployment orchestration through Kubernetes. Maintained automated CI/CD pipelines via GitHub Actions and built reliable infrastructure leveraging core AWS services.

- Designed and built scalable backend microservices and REST APIs using Python 3.9 and DRF for an AI-driven startup application. - Developed a parallel recommendation engine utilizing NLP libraries (NLTK, LanguageTool, Punctuator) and NumPy to generate context-aware suggestions. - Structured optimized PostgreSQL schemas to manage intricate user data, version histories, and recommendation metadata. - Deployed Celery workers for asynchronous processing of intensive text analysis workflows. - Integrated Stripe API to manage secure end-to-end payment processing and subscription models. - Orchestrated development and deployment pipelines using Docker and Kubernetes.

Designed and built scalable backend microservices and REST APIs using Python 3.9 and DRF for an AI-driven startup application. Developed a parallel recommendation engine utilizing NLP libraries (NLTK, LanguageTool, Punctuator) and NumPy to generate context-aware suggestions. Structured optimized PostgreSQL schemas to manage intricate user data, version histories, and recommendation metadata. Deployed Celery workers for asynchronous processing of intensive text analysis workflows. Integrated Stripe API to manage secure end-to-end payment processing and subscription models. Orchestrated development and deployment pipelines using Docker and Kubernetes.

Provided ongoing backend development and enhancements for multiple Django-based applications within the healthcare sector. Developed new API endpoints and refactored business logic using Django Rest Framework. Extended healthcare data models, ensuring high strictness around data integrity and system compliance. Evaluated FastAPI framework suitability through research and prototyping for prospective high-performance microservices. Wrote behavior-driven integration tests using Behave (BDD) to maximize test coverage. Managed cloud storage, deployments, and container orchestration using AWS (S3, EC2, ECR), Docker, and Kubernetes.

Collaborated with client stakeholders in an Agile environment to build a network and storage solutions platform. Maintained backend web services using Python, Flask, and Flask-RESTPlus. Conducted complex ETL data processing tasks using Jupyter, SQLAlchemy, NumPy, and Boto3. Managed automated testing strategies with Nose and Unittest to secure application stability.

Stepped into leadership responsibilities by mentoring engineering peers, reviewing code implementations, and steering high-level architectural planning. Developed backend systems combining financial solutions (with Android integrations) and geographic automated workflows. Built server-side applications with Python 2.7 and Django, managing deployments on Linux (Apache) servers. Designed and optimized PostgreSQL databases, focusing on efficient data storage and query performance.

Transitioned from professional practice to a full-time engineering role, building business solutions via Salesforce and FileMaker. Assumed complete ownership of Quality Assurance (QA) workflows for 2 years, conducting rigorous system testing.