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.
Main technologies
3 years
2 Years
2 Years
2 Years
Potentially possible
This AI-driven claims analysis solution was developed to assist claim managers in verifying the validity of insurance claims based on existing policy documents, renewal receipts, and amendments. By leveraging intelligent document processing, OCR, and an AI-powered chatbot, the system ensures accurate, automated claim validation while providing claim managers with actionable insights.
The Investor Assistant ChatBot is an advanced AI-powered platform designed to ingest publicly available company data and provide real-time, accurate responses to investor queries. By leveraging LLM-driven Retrieval-Augmented Generation (RAG) and enterprise-grade AI search capabilities, the chatbot ensures that investors receive the latest, contextually relevant insights about a company’s financials, market position, and strategic developments. Key features: Subscription Management Investor Interaction Analytics Customizable AI Responses User & Data Management Sandbox Mode for Internal Users
roject Overview: This project focuses on designing and implementing a microservice capable of generating PDFs using Quadient templates and pipelines. The microservice accepts data requests in predefined JSON/XML formats, processes them through Quadient-compliant pipelines, and provides clients with the ability to download the generated PDFs. Additionally, it includes success and error callback mechanisms to ensure reliable communication and tracking. Technologies: DAPR, FastAPI, XML Parsing, Azure Blob Storage, AWS S3, Quadient API Integration, MySQL, Flyway Database Versioning, Redis
Project Overview This project involved developing a comprehensive microservices layer for a business credit financing company. Our team consisted of 7 Python developers and 2 ReactJS developers. The application is structured in a layered architecture, decoupling the UI layer from the backend and database layers. Technology Stack - Backend: FastAPI - Database: PostgreSQL, SQLAlchemy - Patterns: Cosmic Python - AWS Services: S3, Lambda, CloudWatch
Project Overview: This web application streamlines and automates the financial processes for a cruise company, integrating various point-of-sale systems and ensuring seamless data collection, verification, and transaction processing. The system is designed to improve operational efficiency and accuracy, reducing manual efforts and errors. Technology Used: Python, PostgreSQL, Microservices, ReactJS, RabbitMQ, Celery, Toast Integration, FareHarbor Events, Amadeus Data Integration, Stripe Events, Sage Accounting System Integration
Bachelor of Engineering (BEng) in Computer science
2005-01-01-2009-01-01