About Me

👋 Hi, I'm Adil Maqsood

Full Stack AI Engineer | Published Researcher | FinTech & Crypto Platforms

I am a results-driven Full Stack AI Engineer with over 3 years of professional experience architecting production-grade AI systems, scalable web platforms, and data-driven automation solutions. My work sits at the powerful intersection of artificial intelligence, software engineering, and financial technology  where I transform complex algorithms into high-performance, user-focused applications that drive measurable business outcomes.

Currently, I serve as the Lead Full Stack AI Engineer at EK Global Capital, where I design and deploy end-to-end AI-powered financial platforms serving 500+ active users across web, desktop, and mobile. I specialize in building intelligent automation systems, RAG-based chatbots, quantitative trading engines, and real-time analytics dashboards that empower traders, investors, and financial institutions with actionable insights and sub-second latency.

What I Do

AI & Machine Learning Engineering

I develop and integrate cutting-edge AI/ML models using Python, TensorFlow, LangChain, LangGraph, and Hugging Face Transformers. My expertise spans:

• Natural Language Processing (NLP) — including BERT, LLMs, and fine-tuning for domain-specific tasks

• Retrieval-Augmented Generation (RAG) — building intelligent document-based chatbots and semantic search engines

• Generative AI — creating adaptive learning systems, automated content generation, and intelligent assistants

• Computer Vision — implementing object detection and image recognition solutions for security and automation

• Deep Learning — developing hybrid architectures for posture detection, anomaly recognition, and predictive analytics

Full Stack Web & Mobile Development

I architect scalable, secure, and responsive applications using modern frameworks and tools:

• Backend: Django, FastAPI, REST APIs, WebSockets, Celery, Apache Kafka

• Frontend: React, React Native, Streamlit

• Databases: PostgreSQL, MySQL, MongoDB, ChromaDB, FAISS

• DevOps: Docker, AWS (boto3), CI/CD Pipelines, GitHub Actions

I have built high-performance APIs handling real-time market data, live trading charts, portfolio tracking, and alert systems with sub-second latency — ensuring reliability and speed even under heavy loads.

Financial Technology (FinTech) & Quantitative Systems

I specialize in developing AI-driven FinTech solutions, including:

• Quantitative trading strategies with backtesting and signal generation across crypto, Saudi, and Pakistani markets

• Real-time market data integration from multiple exchanges

• Portfolio management, watchlists, price alerts, and technical indicators

• AI-powered financial education platforms with adaptive learning and smart assessments

My work has reduced manual research time by 60% and improved database query performance by 40% in financial workloads.

Research & Academic Contributions

I am a published researcher with 6 peer-reviewed papers in international journals, focusing on AI, IoT, Deep Learning, and NLP. My research explores practical applications of emerging technologies, including:

• Automated baggage drop-off systems using AI and IoT

• Smart home security and gas leak detection using IoT

• Vehicle number plate recognition using YOLO

• Hybrid deep learning for posture detection

• Real-time anomaly detection in crypto markets using robust statistical measures

I hold a Bachelor of Science in Computer Science from ILMA University with a CGPA of 3.39/4.0, where I developed a strong foundation in Data Structures, Algorithms, Database Management, Web Engineering, and Artificial Intelligence.

Technical Toolbox

Key Achievements & Impact

• Reduced manual research time by 60% through AI-powered financial chatbots and semantic search systems

• Improved query performance by 40% in PostgreSQL and MySQL databases handling financial workloads

• Served 500+ active users across AI-driven financial platforms

• Deployed RAG-based chatbots with 95%+ response accuracy for university information retrieval

• Developed an AI-powered recruitment system that reduced screening time by 80%

• Published 6 research papers in peer-reviewed journals, contributing to advancements in AI, IoT, and FinTech

My Mission

My mission is to bridge the gap between cutting-edge AI research and real-world applications. I believe in building technology that is not only intelligent but also ethical, scalable, and accessible. Whether it's automating financial decisions, enhancing education through adaptive learning, or securing smart buildings with AI, I am committed to delivering solutions that create lasting value.

I am constantly exploring emerging technologies, contributing to open-source communities, and sharing my knowledge through Medium articles and collaborative research. I thrive in dynamic environments where innovation meets execution, and I am always open to collaborative projects, research opportunities, and engineering leadership roles.

Let's Connect

I'm always excited to connect with fellow engineers, researchers, and innovators. If you're working on something interesting — or if you'd like to collaborate on AI, FinTech, or full stack development — feel free to reach out!

•  Email: adilmaqsood501@gmail.com

•  Phone: +92-342-893-3617