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Schedule Interview NowAt Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.
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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