Abdullah L. is a highly skilled Computer Science graduate from FAST NUCES, bringing hands-on experience in AI automation, machine learning, and full-stack development. He has excelled in roles at Media@Marson, Stixor Technologies, and UrduX, where he engineered solutions using Python, FastAPI, Playwright, n8n, Node.js, React, MongoDB, SQL, NoSQL, OCR, AWS, Docker, Selenium, Groq, Pinecone, Streamlit, Hugging Face, ElevenLabs, Twilio, Zapier, Vapi, WebSocket, and GitHub. Abdullah has proven ability in designing real-time RAG…
Developed an end-to-end automated pipeline for extracting, cleaning, and digitizing structured & scanned financial reports using OCR and NLP. Implemented sentiment analysis, data validation, and key-metric extraction to assist financial teams in rapid decision-making. Built an interactive financial query chatbot with real-time responses, improving data accessibility and analysis speed.
Built a high-speed restaurant recommendation system using Pinecone vector search and Groq LPU-based inference. Implemented conversational memory, contextual retrieval, and dynamic menu-based recommendations. Designed a clean, responsive Streamlit UI with FastAPI backend for seamless real-time user interaction.
Designed a multi-agent system capable of conducting competitive research, trend monitoring, and summarizing market insights. Automated generation of product launch strategy documents, marketing content, and risk assessments. Used agentic workflows to coordinate research, planning, content creation, and reporting.
Engineered a scalable ETL workflow in n8n to monitor 50+ client websites, extracting unstructured HTML data and converting it into Markdown for downstream processing. Eliminated hours of manual data entry by deploying a daily-triggered automation that captures key metadata (author, date, category) within minutes, reliably parsing diverse website structures. Architected a scalable solution enabling rapid onboarding of new clients without code changes, using intelligent deduplication to filter existing records and deliver verified updates via Slack.
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Abdullah L. is a highly skilled Computer Science graduate from FAST NUCES, bringing hands-on experience in AI automation, machine learning, and full-stack development. He has excelled in roles at Media@Marson, Stixor Technologies, and UrduX, where he engineered solutions using Python, FastAPI, Playwright, n8n, Node.js, React, MongoDB, SQL, NoSQL, OCR, AWS, Docker, Selenium, Groq, Pinecone, Streamlit, Hugging Face, ElevenLabs, Twilio, Zapier, Vapi, WebSocket, and GitHub. Abdullah has proven ability in designing real-time RAG…
Developed an end-to-end automated pipeline for extracting, cleaning, and digitizing structured & scanned financial reports using OCR and NLP. Implemented sentiment analysis, data validation, and key-metric extraction to assist financial teams in rapid decision-making. Built an interactive financial query chatbot with real-time responses, improving data accessibility and analysis speed.
Built a high-speed restaurant recommendation system using Pinecone vector search and Groq LPU-based inference. Implemented conversational memory, contextual retrieval, and dynamic menu-based recommendations. Designed a clean, responsive Streamlit UI with FastAPI backend for seamless real-time user interaction.
Designed a multi-agent system capable of conducting competitive research, trend monitoring, and summarizing market insights. Automated generation of product launch strategy documents, marketing content, and risk assessments. Used agentic workflows to coordinate research, planning, content creation, and reporting.
Engineered a scalable ETL workflow in n8n to monitor 50+ client websites, extracting unstructured HTML data and converting it into Markdown for downstream processing. Eliminated hours of manual data entry by deploying a daily-triggered automation that captures key metadata (author, date, category) within minutes, reliably parsing diverse website structures. Architected a scalable solution enabling rapid onboarding of new clients without code changes, using intelligent deduplication to filter existing records and deliver verified updates via Slack.
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