Jinay Shah
Full Stack and Backend Software Engineer | Python, JavaScript, Java | FastAPI, Flask | AWS, Docker, Kubernetes, CI/CD | Postgres, Redis, Kafka | Microservices, REST APIs | AI, GenAI, LLMs | p95 cut 60% | ASU MS IT
- Role
- Software Developer at Asu Decision Theater Network
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Jinay Shah
I build backend systems that stay fast, reliable, and observable under real production…
Experience
Software Developer
May 2024 — Present · AZ, US
Real-time APIs and microservices in Python, FastAPI, Flask on AWS with Docker and Kubernetes. PostgreSQL and Redis performance, Kafka streams, CI CD on GitHub Actions- Policy teams needed low-latency exploration of complex water and trade data without risky demos- Designed REST endpoints and background workers, tuned PostgreSQL with targeted indexes, added parameter-aware Redis caching and read-write split, and built idempotent jobs with retries and circuit breakers to absorb traffic spikes- p95 latency down 60 percent. Stable releases on AWS with Terraform and Kubernetes, smooth stakeholder demos under load- Analysts moved from waiting on slow queries to deciding in the room, saving hours weekly across more than stakeholders- Skills: Python, FastAPI, AWS, PostgreSQL, Redis, Kafka.
Education
UKA TARSADIA UNIVERSITY
Bachelor of Engineering - BE
2018 — 2022
CGPIT
Diploma Computer Engineering
2015 — 2018
Arizona State University
Master's degree
2023 — 2025
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