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Daniyal QamarDQ
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Daniyal Qamar

@daniyalqamar

Senior Full Stack AI Engineer | 6 yrs | React, Next.js, Node, Python | LLM, RAG, LangChain | Building scalable AI-powered products

Pakistan
Message

What I'm looking for

I’m looking to build production-ready, scalable web products where I can integrate LLM/AI workflows end-to-end, optimize performance, and improve developer delivery through strong engineering standards, reviews, and CI/CD. I thrive in teams that value execution and iteration.

I’m a Senior Full Stack AI Engineer with 6 years of experience architecting, developing, and deploying high-performance web applications across startups and enterprise environments. I bring a proven focus on integrating AI/LLM-powered features while streamlining backend workflows to improve real user outcomes.

In my most recent role, I designed and implemented LLM orchestration workflows using OpenAI, Claude, and LangChain across AI SaaS, recruitment automation, and media intelligence. I also engineered secured multi-tenant backend systems in Python and Node.js with strict schema isolation, row-level security, and role-based access controls on PostgreSQL.

I’ve built retrieval pipelines using pgVector and Pinecone, then optimized indexing and query execution to reduce average response time by approximately 30%. I also reduced feature delivery time by 30% through reusable components and improvements to agile estimation—without sacrificing quality.

I enjoy owning full software lifecycles and raising engineering standards through technical reviews, mentoring, and AWS-based CI/CD guidance. Outside of core work, I’ve delivered end-to-end features for products like Greenpal (marketplace workflows), Tutor Scene (e-learning operations), and Your Calls (LLM-powered voice automation with scalable APIs).

Experience

Work history, roles, and key accomplishments

ME
Current

Sr. Full Stack AI Engineer

Medability

May 2024 - Present (2 years 1 month)

Designed and implemented LLM orchestration workflows using OpenAI, Claude, and LangChain across AI SaaS, recruitment automation, and media intelligence. Built secured multi-tenant backends with Python/Node.js and PostgreSQL, and reduced average response time by ~30% through indexing/query optimizations.

PU

Full Stack Engineer

PureLogics

May 2022 - Aug 2024 (2 years 3 months)

Developed and maintained backend services in Node.js and Python for analytics, reporting, and media monitoring. Improved React/Next.js dashboards by optimizing data-fetch strategies and embedded AI-driven workflows (summaries/tagging/classification) to reduce manual review and speed insights.

VS

Software Engineer

Visnext Software Solutions

Nov 2020 - Apr 2022 (1 year 5 months)

Delivered web applications with TypeScript, Node.js, and Next.js, including task systems, administrative panels, and real-time user modules. Designed REST APIs with authentication/role-based authorization and managed releases using Docker and GitHub Actions.

Education

Degrees, certifications, and relevant coursework

TU

The Superior University

Bachelor of Science, Computer Science

2016 - 2020

Activities and societies: Gold Medalist for academic excellence; mentored junior developers.

Earned a BS in Computer Science at The Superior University from 2016 to 2020. Recognized for academic excellence and supported junior developers through mentorship.

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