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Bilal H. - Fullstack Developer, Machine Learning, tailwindcss

Being part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.

Main technologies

  • Fullstack Developer

    4 years

  • pandas

    2 Years

  • SQL

    1 Year

  • Python

    1 Year

Additional skills

  • pandas
  • SQL
  • Python
  • Data Scraping
  • Java
  • PostgreSQL
  • MySQL
  • HTML
  • Scripting
  • Unix
  • JavaScript
  • node.js
  • CSS
  • Tutoring
  • Machine Learning
  • tailwindcss

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Potentially possible

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Experience Highlights

🧬 ScienceProves.Me – AI-Powered Scientific Research Assistant

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.

🤖 Enhancing Andrew Ng's AI Suite with Cohere & Cerebras Integrations

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 – AI-Powered YouTube Video Transcription

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.

Interactive Warehouse Mapping: Folium Visualizer with Filtering

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.

Bundesbank Document Scraper

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.

Education

  • University of Nebraska-Lincoln

    Bachelor of Science (BS) in Computer engineering

    2020-01-01-2020-01-01

Languages

  • Arabic
  • English