Ali Khan
Senior Backend Developer | Python, Django, FastAPI, Flask, NodeJS, Docker, Microservices, Latency & Reliability | LLM Engineer | Signit | ساين إت
- Role
- Back End Developer at Signit ساين إت
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Ali Khan
I build backend infrastructure for AI systems. The kind that needs to be reliable…
Experience
Back End Developer
Mar 2022 — Present · SA
Engaged in a team of 10+ engineers and developers, playing a pivotal role in the software development life cycle (SDLC). Enhanced project success via effective collaboration, contributing to Planning, Creating, Testing, Deployment, and Scalability with a focus on Python, Fast API, and MySQL- Designed and developed SAAS-based applications, embracing a micro-service architecture for enhanced modularity and scalability. Integrated innovative solutions, ensuring responsive and robust application performance- Conducted comprehensive code reviews to cultivate a collaborative work environment. Instrumental in elevating overall code quality and standards, setting a benchmark for excellence in programming practices- Worked with CTO, playing crucial role in implementation of new features and third-party integrations. Applied well-defined software development practices, contributing to enhancement of product offerings- Implemented advanced distributed systems functionalities, adeptly preventing timeout chain reactions and cascading failures. Ensured system reliability and resilience, critical for maintaining uninterrupted service- Developed multiple microservices, including a API Gateway serving as a proxy for SAAS infrastructure. Focused on optimizing overall architecture, contributing to a more streamlined and efficient operational framework- Demonstrated exceptional expertise in SDLC, teamwork, and cutting-edge practices. Contributed to the team\'s success, showcasing strong understanding of efficient application development in a dynamic environment- Reduced P95 latency in production SaaS systems by 50%, significantly improving user experience and system responsiveness- Architected infrastructure capable of reliably processing 350K+ transactions per day with >99.99% uptime- Integrated and productionized a multi-LLM stack (OpenAI, Anthropic) with automated evaluations and guardrails, ensuring safety, reliability, and high-quality outputs.
Education
Pace University
Master of Science - MS, Data Science
Arid Agriculture University
Bachelor of Science - BS, Computer Science
2015 — 2019
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