Ashrita Dasari
Actively looking |MS in Computer Science | AI & Machine Learning | NLP & Explainable AI | Python Full-Stack Developer | Django, Flask, React | Building Scalable Web Apps & APIs that Solve Real Business Problems
- Role
- Python Full Stack Developer at Intel
- Location
- Raleigh, NC, US
- LinkedIn followers
- 500 followers
About Ashrita Dasari
Analytical and detail-oriented Full Stack Python Developer with 3+ years of experience…
Experience
Python Full Stack Developer
May 2024 — Present · US
Designed, developed, and deployed enterprise-grade web applications using Python (Django, Flask), React, and TypeScript,improving internal reporting accuracy by 35% and reducing manual processing by automating workflows.• Built and maintained scalable microservices architecture with Docker, Kubernetes, and REST APIs, enabling modular deploymentsand reducing release downtime by 40% across production systems.• Developed and integrated GraphQL APIs for complex queries and third-party integrations (Salesforce, Twilio, Stripe), enhancinginteroperability and cutting API call volumes by 20%.• Implemented CI/CD pipelines using Jenkins and GitHub Actions with automated unit, integration, and regression testing, reducingdeployment failures by 45% and improving release velocity.• Optimized PostgreSQL queries and indexing strategies, integrated Redis caching, and applied connection pooling techniques,improving API response times by 28% and supporting high-concurrency workloads.• Implemented secure authentication/authorization with OAuth2.0, JWT tokens, and role-based access control (RBAC), ensuringcompliance with enterprise cybersecurity and HIPAA standards.• Collaborated with front-end teams to create pixel-perfect, responsive interfaces using React, Redux, Tailwind, and Material-UI,leading to a 20% increase in end-user adoption and satisfaction.• Set up containerized development and staging environments with Docker Compose, improving developer onboarding speedby 50% and ensuring consistency across environments.• Conducted load testing and performance benchmarking using JMeter and Locust, identifying bottlenecks and scaling applications tosupport 10K+ concurrent users.• Partnered with Agile teams, actively contributing to sprint planning, daily stand-ups, backlog refinement, and retrospectives,increasing sprint velocity by 15% and ensuring 95% on-time deliverables.
Education
University of North Carolina at Greensboro
Master's degree, Computer Science - Data science and Machine Learning major
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