Summary
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 pipelines, building intelligent chatbots, deploying universal AI meeting assistants, and developing automated ETL workflows for large-scale data extraction and analysis. His project portfolio spans restaurant recommendation systems, financial data extraction using NLP and OCR, product launch intelligence agents, neural machine translation with TensorFlow, bi-directional face sketch synthesis with PyTorch and CycleGAN, and low-latency hand gesture game controllers built using OpenCV, MediaPipe, and PyAutoGUI. With specialization in agentic AI, backend API development, AI voice bots, and advanced automation, Abdullah demonstrates exceptional technical proficiency and a self-driven approach to delivering high-impact, scalable solutions.
Meet Abdullah L.
Assessment Scores
Great on Implement LRU Cache Algorithm, Difficulty Medium
Great on Understanding Rate Limiting in APIs, Difficulty Medium
Great on Ensuring Real-time Data Accuracy in Mobile App, Difficulty Medium
Great on Reverse Digits of a 32-bit Integer, Difficulty Easy
Great on Word Search in Grid, Difficulty Medium
Great on Validate Parentheses in a String, Difficulty Hard
Experience
Media@Marson
AI/ML Intern
Intern
Oct 2025 — Nov 2025
Engineered browser automation workflows for data extraction, web navigation, and business task automation, reducing manual workload by 100%.
Built and deployed lead generation automations to streamline prospect identification and qualification.
Implemented scalable automations using Python, Playwright, n8n, and third-party API integrations, enhancing process efficiency by 100%.
Handled client communication, requirement gathering, and end-to-end solution delivery independently, ensuring seamless project execution and client satisfaction.
Technologies:
Python
Playwright
n8n
Zapier
Stixor Technologies
AI/ML Intern
Intern
Jun 2025 — Jul 2025
Developed a universal AI meeting assistant capable of autonomously joining Zoom, Google Meet, and Microsoft Teams, enabling real-time participation across 3 major conferencing platforms using the Recall API.
Integrated OpenAI, ElevenLabs, and webhook-based audio streaming, handling live transcription, LLM inference, and speech synthesis, supporting continuous multi-modal conversations with sub-second audio playback latency.
Optimized streaming and response pipelines, reducing end-to-end conversational latency by ~40–50%, achieving near real-time responses (2-3s) during live meetings.
Technologies:
WebSocket
FastAPI
ElevenLabs
OpenAI
Docker
Github
UrduX
AI/ML Intern
Intern
Jun 2024 — Jul 2024
Built an AI restaurant recommendation assistant on foodpanda Data with conversational memory and accurate contextual retrieval.
Developed a RAG pipeline using Groq for ultra-fast generation and Pinecone for precise retrieval of restaurant menus, reviews, and offers.
Performed data indexing and embedding optimization for improved semantic search accuracy.
Designed and deployed a clean, interactive user experience using Streamlit and FastAPI for seamless real-time conversations.
Technologies:
Groq
Pinecone
Streamlit
FastAPI
Selenium
Projects
Automated Financial Data Extraction & Analysis
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.
Automated Legal Web Scraping Pipeline
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.
Education
Bachelors in Computer Science
2021 - 2025
FAST NUCES
Islambad
Pre-Engineering
2018 - 2020
Fauji Foundation College, New Lalazar
Islamabad
