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Schedule Interview NowWorking at Softaims has been an experience that continues to shape my perspective on what it means to build quality software. I’ve learned that technology alone doesn’t solve problems—understanding people, processes, and context is what truly drives innovation. Every project begins with a question: what value are we creating, and how can we make it lasting? This mindset has helped me develop systems that are both adaptable and reliable, designed to evolve as business needs change. I take a thoughtful approach to problem-solving. Instead of rushing toward quick fixes, I prioritize clarity, sustainability, and collaboration. Every decision in development carries long-term implications, and I strive to make those decisions with care and intention. This philosophy allows me to contribute to projects that are not only functional, but also aligned with the values and goals of the people who use them. Softaims has also given me the opportunity to work with diverse teams and clients, exposing me to different perspectives and problem domains. I’ve come to appreciate the balance between technical excellence and human-centered design. What drives me most is seeing our solutions empower businesses and individuals to operate more efficiently, make better decisions, and achieve meaningful outcomes. Every challenge here is a chance to learn something new—about technology, teamwork, or the way people interact with digital systems. As I continue to grow with Softaims, my focus remains on delivering solutions that are innovative, responsible, and enduring.
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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