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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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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