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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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Developed a high-performance system for real-time sports data aggregation, processing and display. Focused on collecting live odds and match data from multiple public APIs and dynamic web sources.
Created a pipeline for AI-powered sports outcome prediction, leveraging machine learning models trained on historical match data, odds movement, and team metrics.
Built a fully modular strategy simulation engine designed to test hypotheses on historical sports data and detect statistical inefficiencies.
I developed a custom scraping solution for monitoring product data from major e-commerce platforms like Amazon, eBay, and AliExpress (public product pages only).
Built a smart scraper to collect public social media post data for content and engagement analysis. The tool extracts:
Master of Technology (MTech) in Computer engineering
2020-01-01-2022-01-01
in Law
2014-01-01-2019-01-01