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I'm a software engineer with 4+ years of experience designing fault-tolerant microservices and full-stack platforms, serving 200K+ users. I build scalable, observable systems on AWS and Kubernetes, delivering fast, reliable APIs and reducing latency. I enjoy solving complex problems and collaborating across teams. I'm currently at The LaundryMobile in Dover, DE, where I architect backend services with NestJS, TypeScript, PostgreSQL, and Redis; I’ve shipped payment integration with Stripe, real-time order tracking, and LLM-powered customer support tools. I hold an MS in Computer Science from CSU Long Beach and have a track record of improving latency, cutting deployment times, and enabling data-driven decisions.…I'm a software engineer with 4+ years of experience designing fault-tolerant microservices and full-stack platforms, serving 200K+ users. I build scalable, observable systems on AWS and Kubernetes, delivering fast, reliable APIs and reducing latency. I enjoy solving complex problems and collaborating across teams. I'm currently at The LaundryMobile in Dover, DE, where I architect backend services with NestJS, TypeScript, PostgreSQL, and Redis; I’ve shipped payment integration with Stripe, real-time order tracking, and LLM-powered customer support tools. I hold an MS in Computer Science from CSU Long Beach and have a track record of improving latency, cutting deployment times, and enabling data-driven decisions.

Azad Patel

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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I'm a software engineer with 4+ years of experience designing fault-tolerant microservices and full-stack platforms, serving 200K+ users. I build scalable, observable systems on AWS and Kubernetes, delivering fast, reliable APIs and reducing latency. I enjoy solving complex problems and collaborating across teams. I'm currently at The LaundryMobile in Dover, DE, where I architect backend services with NestJS, TypeScript, PostgreSQL, and Redis; I’ve shipped payment integration with Stripe, real-time order tracking, and LLM-powered customer support tools. I hold an MS in Computer Science from CSU Long Beach and have a track record of improving latency, cutting deployment times, and enabling data-driven decisions.…I'm a software engineer with 4+ years of experience designing fault-tolerant microservices and full-stack platforms, serving 200K+ users. I build scalable, observable systems on AWS and Kubernetes, delivering fast, reliable APIs and reducing latency. I enjoy solving complex problems and collaborating across teams. I'm currently at The LaundryMobile in Dover, DE, where I architect backend services with NestJS, TypeScript, PostgreSQL, and Redis; I’ve shipped payment integration with Stripe, real-time order tracking, and LLM-powered customer support tools. I hold an MS in Computer Science from CSU Long Beach and have a track record of improving latency, cutting deployment times, and enabling data-driven decisions.

Available to hire

I’m a software engineer with 4+ years of experience designing fault-tolerant microservices and full-stack platforms, serving 200K+ users. I build scalable, observable systems on AWS and Kubernetes, delivering fast, reliable APIs and reducing latency. I enjoy solving complex problems and collaborating across teams.

I’m currently at The LaundryMobile in Dover, DE, where I architect backend services with NestJS, TypeScript, PostgreSQL, and Redis; I’ve shipped payment integration with Stripe, real-time order tracking, and LLM-powered customer support tools. I hold an MS in Computer Science from CSU Long Beach and have a track record of improving latency, cutting deployment times, and enabling data-driven decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineer at The LaundryMobile

January 1, 2025 - Present

Architected and shipped backend services using NestJS, TypeScript, PostgreSQL, and Redis, delivering 100+ REST APIs supporting subscriptions, real-time tracking, and automated assignment, reducing order processing time by 38%. Designed a distributed order management system with 14 lifecycle states and idempotent APIs; leveraged PostGIS spatial queries for real-time driver matching across 5 territories. Optimized data access by implementing read-through caching with TTL-based invalidation, achieving 40% fewer queries and reducing P95 API latency from 450ms to 320ms. Built a React Native mobile app for iOS and Android enabling real-time order tracking and push notifications; integrated Stripe for payments and automated invoicing with 99.8% transaction reliability. Shipped LLM-powered features with OpenAI/Anthropic APIs to automate customer support triage and natural-language order search, reducing average ticket resolution time by 30%.

Research Assistant at California State University, Long Beach

August 1, 2024 - May 1, 2025

Built an end-to-end NLP text classification pipeline using Python, scikit-learn, and Hugging Face Transformers to automate categorization of 10K+ research documents with 92% accuracy. Implemented preprocessing workflows (tokenization, lemmatization, transformer-based embeddings) and applied feature engineering and hyperparameter tuning, achieving reproducible retraining and reducing data prep time by 70%.

Software Engineer at LTIMindtree

July 1, 2020 - June 30, 2023

Led end-to-end design of a distributed insurance policy management platform serving 200K+ users with 99.9% uptime. Built fault-tolerant microservices using Spring Security, Hibernate, and stateless APIs with circuit breakers, retries, and rate limiting, reducing production incidents by 32% and preventing cascading failures. Optimized back-end performance across PostgreSQL, MongoDB, Redis with query tuning, connection pooling, and caching, achieving 40% lower API response times under peak traffic. Drove CI/CD and containerization with GitHub Actions, Docker, and Kubernetes (EKS), cutting deployment time from hours to minutes and improving environment reliability. Implemented observability practices using CloudWatch, Prometheus, Grafana, and ELK, enabling real-time monitoring and reducing MTTR from 2 hours to 45 minutes.