Waqi

Chief Data Engineer

Self Employed • Full time

Jan 2026 - Present • 7 mos

As the Chief Data Engineer, I orchestrate the end-to-end data architecture, scalable infrastructure, and advanced AI systems to power automated business solutions. My role combines hands-on technical execution with strategic oversight, leading a team to transform complex, multi-source raw data into high-performing production assets. KEY RESPONSIBILITIES & TECHNICAL ACHIEVEMENTS: Data Architecture & Scalable Pipelines • Engineered and optimized robust ETL/ELT pipelines that processed millions of data rows, improving overall data processing speed by 40%. • Designed and managed enterprise-grade relational databases (PostgreSQL, MySQL), implementing indexing, partitioning, and query optimization to reduce latency for real-time analytics. • Built secure, production-grade RESTful APIs to ensure seamless, low-latency data synchronization across distributed systems. High-Scale Web Scraping & Automation • Developed distributed, resilient web scraping frameworks using BeautifulSoup, Selenium, and Scrapy, engineered to successfully bypass advanced anti-bot networks and CAPTCHAs. • Automated complex data harvesting workflows, extracting massive datasets from global dynamic websites with a 99% uptime rate. • Standardized data cleansing pipelines using Pandas and NumPy, elevating data accuracy to 98% before ingestion. Computer Vision & Deep Learning Deployment • Built and deployed real-time Object Detection and classification pipelines using YOLO and MobileNetV2, integrated directly into cloud infrastructure. • Trained and fine-tuned custom Machine Learning and Deep Learning models using PyTorch and TensorFlow to solve specific predictive analytics problems. Next-Gen GenAI & NLP Systems • Designed secure, enterprise-grade Retrieval-Augmented Generation (RAG) frameworks using LangChain, connecting private company data to LLMs safely. • Built autonomous multi-agent systems using CrewAI to automate multi-step business operations, replacing hours of manual tasks with smart AI wo

Data Scientist & Ai/ML Engineer

Freelancing Career • Freelance

Dec 2025 - Present • 8 mos

Operating as an elite independent consultant, I have successfully architected and delivered over 15+ high-impact global projects for international clients. My expertise lies in deploying production-ready Data Science pipelines, building resilient automation systems, and leveraging advanced Artificial Intelligence to solve complex business inefficiencies. KEY HIGHLIGHTS & DELIVERABLES: Data Science & Advanced Analytics • Transformed messy, unstructured multi-industry datasets into clean, actionable business intelligence assets. • Developed end-to-end predictive models and exploratory data analysis (EDA) frameworks using Pandas, NumPy, and Scikit-Learn to optimize client decision-making processes. Enterprise Web Scraping & Intelligent Automation • Engineered customized, scalable data extraction bots using BeautifulSoup, Selenium, and Scrapy to harvest large-scale web data daily. • Built intelligent web automation workflows that cut manual data entry and collection time for clients by up to 80%. Computer Vision & Machine Learning Solutions • Built and fine-tuned deep learning models using PyTorch and TensorFlow for customized niche applications. • Implemented object detection, tracking, and image processing pipelines utilizing the YOLO framework, tailored specifically to client specifications. Generative AI & Autonomous Agent Workflows • Architected secure Retrieval-Augmented Generation (RAG) setups using LangChain to allow clients to query their private documentation safely. • Designed multi-agent operational workflows using CrewAI, automating repetitive tasks by orchestrating specialized AI agents.