Available to hire
Hi, I’m Ashrita Dasari, a Python Full Stack Developer with 3+ years of experience designing, developing, and deploying scalable web applications and enterprise solutions.
I’m passionate about building reliable, high-performance software and collaborating with cross-functional teams to deliver secure, user-friendly products. I thrive on solving complex API integrations and microservices challenges, driving 30-40% improvements in system efficiency, and maintaining code quality through testing and CI/CD practices.
Skills
Experience Level
Expert
Expert
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Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Python Full Stack Developer at Intel Corporation
May 1, 2024 - PresentDesigned, developed, and deployed enterprise-grade web applications using Python (Django, Flask), React, and TypeScript, improving internal reporting accuracy by 35% and reducing manual processing through workflow automation. Built and maintained scalable microservices with Docker, Kubernetes, and REST APIs, enabling modular deployments and reducing release downtime by 40% across production systems. Implemented GraphQL APIs for Salesforce, Twilio, and Stripe, enhancing interoperability and reducing API call volumes by 20%. Established CI/CD pipelines with Jenkins and GitHub Actions, lowering deployment failures and accelerating release cycles. Optimized PostgreSQL queries with indexing and Redis caching for high-concurrency workloads, achieving 28% faster API responses. Implemented OAuth2.0, JWT, and RBAC for secure access control. Collaborated with front-end teams to deliver pixel-perfect interfaces using React, Redux, Tailwind, and Material-UI, increasing end-user adoption by 20%. Cr
Python Full Stack Developer at IBM
January 1, 2019 - August 1, 2021Developed scalable enterprise applications using Python (Flask, FastAPI), Angular, and Node.js, automating business workflows that reduced processing costs by $250K annually. Designed and maintained RESTful and SOAP APIs for internal and client-facing systems, enabling smooth integration with legacy IBM systems and reducing data exchange errors by 30%. Migrated legacy monolithic applications to AWS-based microservices (EC2, Lambda, API Gateway, RDS), improving availability and reducing infrastructure costs by 20%. Designed ETL workflows with Python and SQL for real-time analytics, reducing reporting delays by 25%. Integrated MongoDB and MySQL with backend applications, implementing schema optimizations and indexing to improve query performance by 40%. Built real-time logging/monitoring using ELK and Prometheus, reducing MTTR by 35%. Automated tests with PyTest, Selenium, and Postman, improving QA coverage and reducing production defects by 40%. Implemented CI/CD pipelines with Jenkins
Education
Master's in Computer Science at University of North Carolina Greensboro
January 1, 2023 - December 31, 2024Master’s in computer science at University of North Carolina Greensboro
January 1, 2023 - December 1, 2024Master’s in computer science at University of North Carolina Greensboro
January 1, 2023 - December 31, 2024Qualifications
Industry Experience
Software & Internet, Professional Services
Skills
Experience Level
Expert
Expert
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Intermediate
Intermediate
Intermediate
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