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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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A concept iOS app that shows how an AI agent can combine weather and location to suggest activity ideas. While the location and weather data are currently fixed, the structure is ready to plug in live data from the user’s device or external APIs. The app demonstrates how AI agents can reason and act based on context. It uses a method called ReAct (Reasoning + Acting) — where the AI thinks through a task before deciding which tools or information to use. It showcases OpenAI Functions, which allow the app to tell the AI how to use specific features (like checking the weather) automatically.
An iOS concept app that demonstrates how generative AI can support investment research and decision-making. Users enter a stock ticker, and the app retrieves recent market data using Polygon.io API, then prompts ChatGPT to generate a concise performance summary based on the past trading data. It explores key AI techniques such as temperature, few-shot prompting, and response control (presence and frequency penalties, stop sequence). The app explores also safety measures to prevent prompt prompt injections. API handling is offloaded to a secure Cloudflare worker to ensure data protection.
This concept iOS app shows how AI can power smarter, more intuitive search experiences. Instead of relying on keywords, users describe what they’re in the mood for, and get relevant movie suggestions based on meaning. Under the hood, the app uses semantic search — an AI technique that understands relationships between ideas in natural language. It compares user input to a database of film descriptions using text embeddings, and returns the closest matches. It also uses retrieval-augmented generation (RAG), a technique where the AI pulls relevant background info before forming a response.
This demo app demonstrates OpenAI API integration. It uses the gpt-4o-mini model. The app leverages system messages so that it works as a music assistant that knows only baroque music. Tech stack: Swift, SwiftUI, OpenAI API, Alamofire, handling API Keys
It's a demo project illustrating the power of HealthKit combined with Charts. This demo app uses user's health data to display compelling charts that support progress tracking and visualize statistics. You're welcome to take a look on its linked repository. Tech stack: SwiftUI, Swift, HealthKit, AppleXcode, Swift Algorithms, Git, GitHub. Disclaimer: the project has potential for refactoring, but I intentionally decided to leave it like that for now. If you have any questions I'm happy to chat.
in Computer science
2014-01-01-2015-01-01
Bachelor's degree in
2011-01-01-2012-01-01
Master's degree in
2004-01-01-2009-01-01