Adham Wageh

Tech Lead & Core Architect

About

I'm a Business Information Systems graduate from Tanta University who sits at the intersection of AI engineering and data analytics — comfortable building an end-to-end ML pipeline one week and designing a Power BI dashboard the next. I got into this field because I'm genuinely curious about how data becomes a decision. That curiosity has taken me through LLM integration and RAG pipelines, machine learning classifiers, SQL analytics, EDA, and BI reporting across real projects and internships. I care about doing things properly — clean architecture, clear documentation, and making sure the people I work with can build on what I've built. I've led teams, coordinated parallel workstreams, and shipped systems that work end-to-end, not just in notebooks. I'm open to AI/ML engineering and data roles, remote or in Egypt, and I do my best work when I'm collaborating with people who take their craft seriously. 📌 GitHub: github.com/doom4444

Country

Egypt

City

Tanta

Industry

Information Technology & Services

Skill

C++, C#, Front-End Development, Computer Networking, Software Development Life Cycle (SDLC), Database Design, Gateway, Tableau, NumPy, ERD, Data Pipelines, Microsoft Azure, Jupyter, Transact-SQL (T-SQL), MySQL, Deep Learning, TensorFlow, PyTorch, Deep Neural Networks (DNN), Model Training

Experience

Tech Lead & Core Architect

X-Invest — Open Source Project

2025-9 - 2026-6 · 10 mos

Designed and built a locally-deployed, bilingual AI financial assistant for Arabic-speaking retail investors — from architecture to deployment, with a team of four. · Built a hybrid RAG pipeline (BM25 + semantic retrieval) using BGE-M3 embeddings and ChromaDB with MMR reranking · Integrated live market data across US, EGX, and Saudi markets via yfinance with bilingual ticker extraction · Trained a Random Forest signal classifier (Bullish / Neutral / Bearish) using TimeSeriesSplit and walk-forward backtesting · Delivered a streaming FastAPI backend, per-session conversation memory, and a 3-page pure CSS frontend · Coordinated four teammates across parallel Git branches using a stub-first workflow — zero blocking dependencies · Shipped a complete system with no LangChain dependency, running fully local on consumer hardware Stack: Python · FastAPI · ALLaM 7B · Ollama · ChromaDB · BGE-M3 · yfinance · scikit-learn

Big Data Analysis Trainee

National Telecommunication Institute (NTI)

2025-7 - 2025-8 · 2 mos

• Worked with Hadoop ecosystem components including HDFS, YARN, MapReduce, and Hive for distributed data processing. • Utilized Linux environments and SQL-based tools to query, transform, and analyze large-scale datasets. • Applied ETL/ELT concepts, batch processing, and data pipeline design techniques. • Studied cluster architecture, distributed computing, fault tolerance, scalability, and data partitioning principles. • Completed hands-on projects involving Big Data workflows and large-scale data analysis. Technologies: Hadoop, HDFS, Hive, YARN, MapReduce, Linux, SQL, ETL/ELT, Distributed Computing

Data Analytics & Power BI Engineer Intern

Digital Egypt Pioneers Initiative - DEPI

2024-11 - 2025-5 · 7 mos

• Designed multi-page Power BI dashboards tracking business KPIs and supporting data-driven decision-making. • Developed and optimized SQL queries in Microsoft SQL Server for data validation, cleansing, transformation, and analysis across relational databases. • Applied dimensional modeling concepts, including star schema design, fact tables, and dimension tables to support reporting and analytics solutions. • Worked with database design principles, relationships, normalization concepts, and data modeling techniques within SQL Server environments. • Utilized Python (pandas, NumPy) to build preprocessing workflows, perform data transformation, and conduct exploratory data analysis. • Led a team analyzing 1,000+ survey responses on mental health trends in Egypt, transforming raw survey data into actionable insights delivered through interactive Power BI dashboards for non-technical stakeholders.