I’m Divyesh Patil, a full stack software engineer with 2.5+ years of experience building and deploying end-to-end web and mobile applications, including production-grade systems with real-time APIs and cloud infrastructure on AWS. I enjoy working across architecture, database modeling, and containerized deployments—especially when the solution needs to be reliable, scalable, and secure. A big focus of mine is integrating AI/LLMs into real products. I’ve shipped agentic, streaming AI experiences for use cases like healthcare and mental health, implemented voice transcription and LLM-driven workflows, and built subscription and webhook-driven monetization systems. I’m also passionate about testing and operational quality—using CI/CD practices, Pytest, RBAC, and monitoring/analytics so the systems remain stable as they grow.

Divyesh Patil

I’m Divyesh Patil, a full stack software engineer with 2.5+ years of experience building and deploying end-to-end web and mobile applications, including production-grade systems with real-time APIs and cloud infrastructure on AWS. I enjoy working across architecture, database modeling, and containerized deployments—especially when the solution needs to be reliable, scalable, and secure. A big focus of mine is integrating AI/LLMs into real products. I’ve shipped agentic, streaming AI experiences for use cases like healthcare and mental health, implemented voice transcription and LLM-driven workflows, and built subscription and webhook-driven monetization systems. I’m also passionate about testing and operational quality—using CI/CD practices, Pytest, RBAC, and monitoring/analytics so the systems remain stable as they grow.

Available to hire

I’m Divyesh Patil, a full stack software engineer with 2.5+ years of experience building and deploying end-to-end web and mobile applications, including production-grade systems with real-time APIs and cloud infrastructure on AWS. I enjoy working across architecture, database modeling, and containerized deployments—especially when the solution needs to be reliable, scalable, and secure.

A big focus of mine is integrating AI/LLMs into real products. I’ve shipped agentic, streaming AI experiences for use cases like healthcare and mental health, implemented voice transcription and LLM-driven workflows, and built subscription and webhook-driven monetization systems. I’m also passionate about testing and operational quality—using CI/CD practices, Pytest, RBAC, and monitoring/analytics so the systems remain stable as they grow.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Work Experience

Intern / Contract Engineer (Full Stack) at fxis.ai
February 1, 2024 - July 31, 2024
During the internship period, contributed to full-stack engineering tasks including backend API development and integration work that supported AI-enabled applications and production deployments. Delivered features spanning secure authentication flows, AI integration plumbing, and improvements to reliability and performance across existing systems while supporting end-to-end development lifecycles.
Intern at fxis.ai
February 1, 2024 - July 1, 2024
Started as an intern and supported full-stack development across AI-integrated web/mobile features, collaborating on backend endpoints, streaming interfaces, authentication and access-control flows, and test coverage improvements for production stability.
Software Engineer (Full Stack) at fxis.ai
February 1, 2024 - Present
Worked on an agentic AI medical platform and multiple production systems, designing multi-tenant architectures and secure backend services. Implemented a 4-tier RBAC system with organization-scoped API keys, referral-based invites, and rolling quota enforcement; built secure registration with SMTP OTP verification and AI-driven institutional onboarding; and added SSE streaming for real-time AI completions. Contributed to open-source by refactoring Reactome query support to fix legacy errors. Also developed and shipped a mental health companion mobile app using React Native (Expo) with streaming AI chat, voice transcription, and AI-assisted planning, plus RevenueCat subscription lifecycle handling and analytics with privacy compliance.
Software Engineer (Full Stack) at FXIS.ai (Solaris Finance Platform contract engagement)
January 1, 2024 - December 31, 2024
Worked on a live production Laravel + React financial platform, diagnosing and fixing critical production bugs, improving UI performance, and migrating legacy Blade-based views into modern React components. Delivered feature enhancements with careful regression testing and zero-downtime deployment practices.

Education

Bachelor of Engineering — Computer Engineering at Gandhinagar Institute of Technology
January 1, 2020 - January 1, 2024
Bachelor of Engineering (Computer Engineering) at Gandhinagar Institute of Technology
January 11, 2030 - January 1, 2024
Bachelor of Engineering (Computer Engineering) at Gandhinagar Institute of Technology
January 1, 2020 - January 1, 2024

Qualifications

Python Essential 1 & 2 — Cisco Networking Academy
January 11, 2030 - September 4, 2026
Python 101 for Data Science — IBM
January 11, 2030 - September 4, 2026
Python Essential 1 & 2 — Cisco Networking Academy
January 11, 2030 - September 4, 2026
Python 101 for Data Science — IBM
January 11, 2030 - September 4, 2026

Industry Experience

Healthcare, Financial Services, Software & Internet, Media & Entertainment, Gaming, Computers & Electronics, Retail