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Sabiq Aijaz

AI/Agentic Engineer building RAG & multi-agent systems | LangChain · LangGraph · FastAPI · Vector DBs | Applied AI

Bengaluru

2+ years of work experience

Brillio
Sep 20251 yrPresent

Bengaluru, Karnataka, India

- Work directly with business teams at a global enterprise client to analyze workflows, identify automation opportunities, and translate processes into technical specifications. - Design and develop UiPath RPA bots to automate rule-based and document-heavy business processes end-to-end. - Integrate automation pipelines with enterprise APIs, internal systems, and third-party applications. - Deploy, monitor, and maintain automation solutions with a focus on reliability and performance. - Maintain documentation, version control, and development best practices across automation projects. - Exploring integration of LLM-based components (intelligent document processing, AI-assisted workflows) into existing automation pipelines.
MyCLNQ Health
Jan 20258 mosAug 2025

Bengaluru, Karnataka, India

- Built and maintained cross-platform mobile applications using React Native for a healthcare platform operating across multiple countries. - Developed backend services using Node.js with MongoDB, deployed on AWS and Azure. - Managed full mobile release cycle including App Store and Google Play submissions, versioning, and hotfixes. - Worked in Agile sprints using Jira for task management and cross-team collaboration. - Contributed to both frontend and backend codebases, delivering new features and resolving production issues.
MyCLNQ Health
Mar 20244 mosJun 2024

Singapore

- Worked on a patient-doctor booking platform used across multiple countries. - Integrated new features including real-time chat into a legacy React Native codebase. - Resolved critical production bugs and contributed performance improvements. - Collaborated with cross-functional teams in an Agile environment using Jira.
Tabbly
Mar 20244 mosJun 2024

Remote

- Independently designed, developed, and launched the Tabbly iOS app from scratch. - Built app architecture using Swift and SwiftUI with a focus on performance and code maintainability. - Delivered a production-ready app to the App Store on schedule.

Sabiq’s AI Stack

antigravity
antigravity
claude code
claude code
github copilot
github copilot
hugging face
hugging face
langchain
langchain
langgraph
langgraph

Education

University of Kashmir

Bachelor of Technology - BTech, Computer Science

University of Kashmir

20204 yrs2024
Oasis Educational Institute

High school, Science

Oasis Educational Institute

20172 yrs2019

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Headline

AI/Agentic Engineer building RAG & multi-agent systems | LangChain · LangGraph · FastAPI · Vector DBs | Applied AI

About

I build AI systems — RAG pipelines, LLM-powered agents, and multi-agent workflows — and I come at it from an angle most don't: enterprise automation. Plenty of people prototyping agentic AI have never had to make a system survive contact with a messy, real-world enterprise environment. I have. I design and deploy workflow automation for a global enterprise client — process analysis, bot development, API integration, intelligent document processing — and I'm actively bringing LLM-based components into those pipelines. That mix of RPA reliability discipline and LLM capability is where I think the most genuinely useful AI automation gets built. Outside of client work, I build production-minded AI systems hands-on: → Agentic & multi-agent systems with LangGraph and n8n — orchestration, tool use, self-correcting loops → RAG pipelines with FastAPI, Qdrant / ChromaDB, and both hosted (GPT-4o) and local models (Ollama) → Evaluation & optimization tooling for retrieval quality, because shipping AI means measuring it → Full-stack delivery — Go and Python microservices, Dockerized, deployed My foundation is in shipping real software: before Brillio I built and released cross-platform mobile apps and Node.js backend services at a healthcare startup, owning full production release cycles. That "make it work in production" instinct is what I bring to AI engineering. Currently focused on: production RAG, agentic/multi-agent architectures, LLM orchestration, and the Azure AI stack. Tech: Python · LangChain · LangGraph · FastAPI · RAG · Vector DBs (Qdrant, ChromaDB, FAISS) · OpenAI / Ollama · Go · n8n · Docker · Azure · Node.js · UiPath Open to AI Engineer / GenAI Engineer / Applied AI roles. If you're building LLM-powered or agentic systems, let's talk.

Location

Bengaluru

AI stack

antigravity

claude code

github copilot

hugging face

langchain

langgraph

Work experience

Engineer-Automation Solutions at Brillio, Sep 2025 - Present · 1 yr, Bengaluru, Karnataka, India, - Work directly with business teams at a global enterprise client to analyze workflows, identify automation opportunities, and translate processes into technical specifications. - Design and develop UiPath RPA bots to automate rule-based and document-heavy business processes end-to-end. - Integrate automation pipelines with enterprise APIs, internal systems, and third-party applications. - Deploy, monitor, and maintain automation solutions with a focus on reliability and performance. - Maintain documentation, version control, and development best practices across automation projects. - Exploring integration of LLM-based components (intelligent document processing, AI-assisted workflows) into existing automation pipelines.

SDE-I at MyCLNQ Health, Jan 2025 - Aug 2025 · 8 mos, Bengaluru, Karnataka, India, - Built and maintained cross-platform mobile applications using React Native for a healthcare platform operating across multiple countries. - Developed backend services using Node.js with MongoDB, deployed on AWS and Azure. - Managed full mobile release cycle including App Store and Google Play submissions, versioning, and hotfixes. - Worked in Agile sprints using Jira for task management and cross-team collaboration. - Contributed to both frontend and backend codebases, delivering new features and resolving production issues.

App Developer intern at MyCLNQ Health, Mar 2024 - Jun 2024 · 4 mos, Singapore, - Worked on a patient-doctor booking platform used across multiple countries. - Integrated new features including real-time chat into a legacy React Native codebase. - Resolved critical production bugs and contributed performance improvements. - Collaborated with cross-functional teams in an Agile environment using Jira.

iOS App Developer at Tabbly, Mar 2024 - Jun 2024 · 4 mos, Remote, - Independently designed, developed, and launched the Tabbly iOS app from scratch. - Built app architecture using Swift and SwiftUI with a focus on performance and code maintainability. - Delivered a production-ready app to the App Store on schedule.

Education

Bachelor of Technology - BTech, Computer Science, University of Kashmir

High school, Science, Oasis Educational Institute