Headline

Staff Applied AI Engineer | LLM Applications, RAG, Agentic AI & LLM Evaluation | Python, Distributed Systems, Kafka, Kubernetes | UAE, GCC

About

I started as a backend engineer. Eleven years later, I sit at the boundary between distributed systems and applied AI, which turns out to be exactly where most hard problems live right now. Early in my career, I built the plumbing: payment flows, event-driven architectures, authorization modules that needed to work at scale and not fail. At Zeta, that meant rearchitecting a transaction passbook for 15 million monthly active users and cutting page load time from 5 seconds to under a second. At Drishti Labs, it meant designing a CQRS platform sustaining 5,000 events per second while keeping incident response tight enough to halve recovery time. Then AI stopped being a research topic and became an engineering problem. At Clari, I led the build of AskClari, a RAG-powered conversational system that reasons over enormous document sets for enterprise clients. The challenge was not getting a language model to respond. It was building the orchestration layer, the evaluation pipeline, and the data infrastructure that kept the system reliable at production scale. That is the gap I have spent the last few years working in: the space between a working prototype and a trustworthy system. Building LLM evaluation pipelines, instrumentation, SLO frameworks, and agentic architectures that actually hold up when real users hit them. I am now looking to bring that background to a Staff or Lead engineering role in the UAE or GCC. If you are building systems where scale, reliability, and AI depth all matter at the same time, I would enjoy a conversation.

Location

Dubai

AI stack

claude code

langchain

langgraph

claudecode

OpenAI Agents SDK

OpenRouter

Work experience

Software Engineer - Applied AI at SpaceXAI, Jan 2026 - Present · 7 mo, Remote, Working on the infrastructure that makes large language models better, specifically the data pipelines and evaluation systems used in RLHF and DPO fine-tuning. The work sits at the intersection of applied AI, data reliability, and automated quality control. In shorts, making Grok smarter.

Staff Engineer - Applied AI at Clari, May 2025 - Jan 2026 · 9 mos, Bengaluru, Clari builds revenue intelligence software for enterprise sales teams. I joined to lead the applied AI engineering effort, which meant taking a promising internal prototype and turning it into a production system that large organizations could actually trust. My scope covered the full stack: the RAG architecture, the agentic orchestration layer, the data pipeline framework, and the team of engineers building all of it. The environment was fast-moving, technically complex, and required both AI depth and backend systems credibility to pull off.

Mentor at Scaler, Aug 2023 - May 2025 · 1 yr 10 mos, Bengaluru, Karnataka, India

Senior Software Engineer at Zeta Suite, Oct 2021 - Sep 2024 · 3 yrs, Bengaluru, Zeta is a modern banking and payments platform. I worked on the PayZapp product, which operates at consumer scale across millions of active users. The core challenge was performance and reliability on infrastructure that had grown faster than its architecture. Beyond the technical work, I also mentored a team of engineers through the practical realities of building distributed systems in production, not just on whiteboards.

Staff Engineer at Drishti, Apr 2021 - Oct 2021 · 7 mos, Central data platform design, high-throughput event sourcing, observability engineering.

Software Engineer at Drishti, May 2019 - Mar 2021 · 1 yr 11 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology (BTech), Computer Science, International Institute of Information Technology, Bhubaneswar