We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Bilal H. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: pandas, SQL, Python, Data Scraping, Java, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: 🧬 ScienceProves.Me – AI-Powered Scientific Research Assistant, 🤖 Enhancing Andrew Ng's AI Suite with Cohere & Cerebras Integrations, 🐝 Transcrib.ee – AI-Powered YouTube Video Transcription, Interactive Warehouse Mapping: Folium Visualizer with Filtering, Bundesbank Document Scraper, etc.. I am based in Cairo, Egypt. I've successfully completed 8 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
4 years
1 Year
1 Year
2 Years
Potentially possible
IBM Egypt
ScienceProves.Me is a cutting-edge AI-powered research assistant that delivers scientifically-backed answers by analyzing millions of academic papers in real-time. Unlike traditional search engines, this system uses Retrieval-Augmented Generation (RAG) to extract, validate, and summarize peer-reviewed scientific knowledge with full citations and zero hallucinations. I led the end-to-end development of the platform, integrating a highly scalable Python FastAPI backend with an advanced Next.js frontend, while ensuring seamless authentication and database management via Supabase and PostgreSQL.
As an open-source contributor to the andrewng/aisuite project, I expanded its capabilities by integrating Cohere and Cerebras API providers. This enhancement allows developers to seamlessly switch between different LLM providers while maintaining a consistent API interface, improving both flexibility and performance in AI-driven applications.
Transcrib.ee is an AI-driven YouTube transcription service that converts video audio into accurate, structured text with just one click. Designed with scalability, speed, and accessibility in mind, the platform leverages cutting-edge AI models to deliver seamless, multilingual transcriptions for students, professionals, and content creators. I spearheaded the entire development lifecycle, building a full-stack solution integrating Next.js, FastAPI, Flask, Redis, and MongoDB, with a smooth Chrome Extension for enhanced accessibility.
I developed an interactive web application that visualizes warehouse locations across the USA using Folium maps. The application allows users to filter warehouse data by state and tier, providing a dynamic and responsive visualization. Powered by a backend algorithm, the app efficiently processes filters and displays the relevant warehouse locations. This tool is perfect for logistics planners and supply chain managers looking to optimize warehouse operations through intuitive geographic insights.
I created a specialized web scraper to automate the download of key documents from the Deutsche Bundesbank website. This tool efficiently retrieves speeches, interviews, and press releases in both English and German, within specified date ranges. Designed for reliability, the scraper uses rate limiting, exponential backoff, and browser-like requests to ensure consistent data extraction. The output is organized into JSON files with detailed metadata, making it an essential tool for economic research and analysis.
Bachelor of Science (BS) in Computer engineering
2020-01-01-2020-01-01