
Sohaib Farooq
Islamabad, Pakistan
Sohaib Farooq
Build Autonomous AI Agents & Custom RAG Pipelines
Category : Artificial intelligence (AI)
I specialize in transforming fragmented business data into high-performance, autonomous intelligence systems that drive measurable ROI. By architecting custom RAG (Retrieval-Augmented Generation) pipelines and Agentic Workflows, I enable your business to "talk" to its private documents and automate complex reasoning tasks moving beyond simple chatbots to truly intelligent automation. My approach integrates deep-tier Data Science and Deep Learning expertise, allowing me to build systems that include predictive analytics, computer vision for visual data processing, and enterprise-grade MLOps for seamless deployment on AWS or GCP. Whether you need to optimize a local LLM for cost-efficiency or deploy a multi-agent system to handle lead generation and reporting, I provide production-ready solutions that bridge the gap between cutting-edge AI research and real-world business growth.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
I was responsible for designing and developing RAG-based pipelines, Agents and AI-powered applications, as well as building and deploying backend systems to support them.
Key Projects:
. Developed a multi-query RAG pipeline using LangFlow to reduce hallucinations, with Qdrant as the vector store for embeddings.
. Built and deployed backend APIs for a sales platform chatbot by leveraging RAG techniques, FastAPI, Docker, and AWS.
. Designed and implemented the complete backend of an LLM-powered project management app using LangChain.
. Assisted in the development of a multi-agent system and several automation tasks using n8n and Zapier.
. Spearheaded several front-end development tasks using Bubble.io.
Key Projects:
. Developed a multi-query RAG pipeline using LangFlow to reduce hallucinations, with Qdrant as the vector store for embeddings.
. Built and deployed backend APIs for a sales platform chatbot by leveraging RAG techniques, FastAPI, Docker, and AWS.
. Designed and implemented the complete backend of an LLM-powered project management app using LangChain.
. Assisted in the development of a multi-agent system and several automation tasks using n8n and Zapier.
. Spearheaded several front-end development tasks using Bubble.io.
I remained part of several leading student clubs of Air University, Islamabad including Air University Data & AI Society (AUDAS) as a Media and Marketing Head and Google Developer Groups on Campus Air University as an Al team member.
During my exciting tenure at the AUDAS, I successfully managed and organized multiple events for notable organizations such as SAP Solutions, IGNITE and Youth Club.
During my exciting tenure at the AUDAS, I successfully managed and organized multiple events for notable organizations such as SAP Solutions, IGNITE and Youth Club.
- 🇬🇧 English
- 🇲🇦 Arabic
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