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Schedule Interview NowMy name is Alexander M. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: AI Agent Development, AI App Development, Machine Learning, Mobile App Development, Full-Stack Development, etc.. I hold a degree in Master of Computer Science (MSCS). Some of the notable projects I've worked on include: AI Agent Tutor, AI Agent, Customer Segmentation Model, Machine Learning Document Understanding Solution, AI-Enabled Peer-to-Peer Platform for Loans & Investments, etc.. I am based in Dnepropetrovsk, Ukraine. I've successfully completed 15 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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Anadea
AI essay grading tool tailored for GAMSAT prep that evaluates coherence, structure, and argumentation. Helps students improve academic writing through automated insights.
A law firm’s digital portal that allows clients to submit claims, check case progress, and view legal documents. Prioritizes accessibility and simplified UI for people with disabilities.
An AI system that segments users into behavioral personas for targeting and personalization. Built using event-level analytics and machine learning clustering techniques.
An AI model for parsing multilingual invoices and extracting structured financial data, trained on scanned documents and PDFs. Designed to reduce manual processing and improve accuracy.
A lending platform with a credit scoring engine for default prediction. The system uses behavioral and financial data to assess borrower risk.
Master of Computer Science (MSCS) in
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