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 NowBeing 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.
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A LangGraph-powered AI agent that automates the hotel check-in process by extracting and validating guest information from uploaded documents such as IDs and booking confirmations, enabling faster and more accurate guest registration.
The AI agent is connected to BigQuery database and provides analytical answers based on the data in the database. The user request in natural language is translated to SQL query by the LLM, executed in the DB and processed by the AI to provide the final answer to the user.
The app features include managing teams, team memberships, volunteering positions, hours tracking and map based search. One code base for both Android and iOS, uses FastAPI server running on AWS Lambda with data layer based on MS SQL Server with SQLAlchemy ORM.
Built a fully automated phone order AI agent using Whisper, TTS, and browser scripting. Solved the no-API challenge by integrating with the UI directly. A perfect example of how AI and automation can streamline operations for small businesses.
This workflow accepts keyword and location (city name) and outputs a Google Sheet list of businesses and their emails from Google Maps. The given area is divided to tiles using OpenAI API with customizable zoom level, and for each tile all the businesses from Google Map are extracted. For each business the workflow visits the business websites and looks for emails on each internal page.
Master of Business Administration (MBA) in
2015-01-01-2016-01-01
Bachelor of Arts (BA) in Computer science
1995-01-01-2003-01-01
Foundation degree in Self Driving Car Engineer
2016-01-01-2017-01-01
in Generative Adversarial Networks (GANs) Specialization
2024-01-01-2024-01-01
in Deep Learning Specialization
2024-01-01-2024-01-01
in Machine Learning Specialization
2024-01-01-2024-01-01