Lakshman Jr

About Lakshman Jr

I am a passionate Python developer with over 4+ years of experience in building high-performance applications and crafting scalable, RESTful APIs. My expertise lies in leveraging frameworks like Django and Flask, optimizing data pipelines, and implementing cloud-based microservices on AWS. With a strong focus on healthcare data integration and analysis, I drive data-driven decision-making through efficient backend systems.I thrive in agile environments, collaborating with cross-functional teams to modernize legacy systems and implement cutting-edge solutions. I’m committed to writing clean, secure, and high-quality code, continuously improving through rigorous testing, code reviews, and CI/CD best practices.Certifications:Agile for Software Development: Lean, Agile, & ScrumAdvanced SQL QueriesProject Management: Scrum Framework for Software DevelopmentSQL Concepts & Queries

Experience

1. Python Developer

   Humana

   Aug 2023 — Present · Pittsburgh, PA, US

   Engineered high-performance Python applications using Django and Flask, optimizing core algorithms to reduce processing time, developed and maintained RESTful APIs improving data integration for 3 critical healthcare systems, increasing data accuracy for patient care decisions. • Designed efficient data pipelines and analytics platforms using Python libraries (NumPy, Pandas) and cloud services (AWS Glue, S3) to process over 5TB of healthcare data, visualize insights with Tableau, and enable data-driven decision-making.• Optimized data retrieval and storage processes by utilizing SQL for structured patient data and DynamoDB for real-time event tracking, improving query response times and enhanced scalability for high-volume healthcare transactions.• Collaborated with cross-functional teams to modernize legacy systems, refactoring over 100,00 lines of code and migrating to cloud-based microservices architecture (AWS EC2, Lambda) using Docker and Kubernetes, improving system reliability.• Deployed robust testing strategies using Pytest, achieving 90% code coverage, and conducted thorough code reviews in GitHub to ensure high-quality, secure code that meets healthcare industry standards and regulations, reducing critical bugs in production. • Leveraged agile methodologies (Scrum, Kanban) and Python\'s extensive ecosystem to iteratively deliver value, adapting to changing requirements and continuously improving development practices using CI/CD pipelines (Jenkins), increasing time-to-market for new features in rapidly evolving technological landscape.

Education

• Dakota State University

  Master’s In information Systems

  2023 — 2024

• Malla Reddy College of Engineering & Technology

  Bachelor of Technology - BTech

  2018 — 2022