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Schedule Interview NowAt Softaims, I have been fortunate to work in an environment that values creativity, precision, and long-term thinking. Each project presents a unique opportunity to transform abstract ideas into meaningful digital experiences that create real impact. I approach every challenge with curiosity and commitment, ensuring that every solution I design aligns not just with technical requirements, but also with human needs and business objectives. One of the most rewarding aspects of my journey here has been learning how to bridge the gap between innovation and practicality. I believe technology should simplify complexity, enhance efficiency, and empower people to do more with less friction. Whether building internal systems, optimizing workflows, or helping bring client visions to life, my focus remains on developing solutions that stand the test of time. Softaims has encouraged me to grow beyond coding—to think about design, communication, and sustainability in technology. I see every project as part of a larger ecosystem, where small details contribute to long-lasting results. My daily motivation comes from collaborating with people who share the same passion for doing meaningful work, and from seeing the tangible difference our efforts make for clients around the world. More than anything, I value the culture of learning and improvement that defines Softaims. It’s a place where ideas evolve through teamwork and constructive feedback. My goal is to continue refining my craft, exploring new approaches, and contributing to solutions that are not only efficient but also elegant in their simplicity.
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The challenge was creating a scalable, cross-platform platform where multiple AI agents could collaborate seamlessly in real time. Solution: I built an MVP with a multi-agent architecture powered by LLMs. An orchestrator agent manages workflow, an assessment agent interprets inputs, and specialist agents execute domain tasks. I delivered the backend schema, database, responsive prototype, and mobile builds, establishing a robust foundation for future scaling.
Built a LLaMA powered chat interface for a large SQL database, enabling natural language queries with semantic search and SQL optimization. Delivered fast, accurate answers from company, contact, and post data while adding Python logic for stable server DB communication. Transformed access to insights by making data feel conversational, intuitive, and reliable.
Researched adversarial attacks on deep learning models, particularly in reinforcement learning environments. Developed defenses to make AI models more robust against manipulation, improving the reliability of AI-driven decision-making in security-critical applications.
Developed a real-time regression testing system (OnSpot) that integrates with an IDE to provide developers instant feedback on test results. This tool significantly reduces debugging time by overlaying test outcomes directly onto code. The system improves test automation workflows in CI/CD environments.
Doctor of Philosophy (PhD) in Computer science
2005-01-01-2008-01-01