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Fullstack Engineer with 4+ years in LLM Apps & Agentic Workflows
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Assessing your cultural and operational fit
Full-Stack Al Engineer with 4+ years of experience building production-grade Al systems. Specializes in LLM integration, RAG pipelines, and multi-agent workflows using LangChain and LangGraph. Strong full-stack skills across Node.js, React, Next.js, Python, and FastAPI. Experienced in building hierarchical multi-agent SDLC automation platforms.
FAST - National University of Computer & Emerging Sciences, Lahore
Bachelor of Science · Computer Science
July 1, 2018 – July 1, 2022
Datics AI
Full-Stack AI Engineer
July 1, 2022 – Present
India
Cultural Fit Analysis
The candidate's experience across diverse projects (AI business assistant, healthcare automation, legal reasoning, customer data platforms, veterinary SaaS) indicates a broad interest in applying technology to different domains. This diversity, coupled with a focus on building autonomous and scalable systems, suggests a strong cultural fit for an innovative and fast-paced environment. The emphasis on multi-agent systems and automation aligns well with forward-thinking engineering cultures.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through various project descriptions, such as fixing real-time conversation routing and RAG retrieval logic. The ability to work on complex, multi-tenant systems and automate SDLC processes suggests a proactive and efficient operational fit. The diverse project portfolio indicates adaptability and a willingness to tackle varied technical challenges.