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Shaik Alheena@Moon_0606
1
Events attended
1
Submissions made
India
1 year of experience
About me
I’m Shaik Alheena, an aspiring machine learning engineer and full-stack developer who enjoys building meaningful, real-world systems. After completing my first year of college, I’ve been diving deep into ML engineering, system optimization, and backend development. I work with PyTorch C++ (LibTorch) to create fast, low-latency model components, rely on my strong DSA foundation to design scalable architectures, and use FastAPI to develop clean, reliable backend services that connect everything together. One of my core projects is SheCab, a women-first mobility prototype focused on safety and trust, especially during night travel. I treat it as both a technical challenge and a social mission — combining agentic AI concepts, smart backend logic, and practical UX thinking to build a solution that’s simple, reliable, and protective. I actively participate in hackathons, entrepreneurship clubs, and tech communities where I test ideas, get user feedback, and turn rough concepts into functional prototypes. My approach is simple: break the big problem into algorithmic blocks, implement it efficiently with C++ or Python, and expose it through lightweight APIs. This helps me build fast, test fast, and iterate even faster. Going forward, I want to work at the intersection of AI systems, safety-tech innovation, and real-world deployment. I love learning, experimenting, and creating solutions that matter — and I’m committed to building technology that genuinely improves people’s lives.
🤓 Latest Submissions
LegacyBridge
LegacyBridge solves one of the enterprise world's most costly bottlenecks: maintaining outdated software infrastructure. Millions of critical business systems still run on obsolete frameworks, costing industries billions in technical debt, security vulnerabilities, and developer friction. Our platform serves as an intelligent bridge between the past and the future of software engineering. By leveraging state-of-the-art Large Language Models paired with deterministic static code analysis, LegacyBridge automatically ingests legacy source code (such as COBOL, Fortran, or outdated Java/C++ variants) and accurately refactors it into modern, cloud-native codebases like Go, Python, or TypeScript. Beyond simple syntax translation, LegacyBridge preserves core business logic while restructuring the code to adhere to contemporary design patterns, injecting robust unit tests, and optimizing for containerized cloud deployment. It reduces migration timelines from months to minutes, enabling enterprises to preserve historical business knowledge while instantly unlocking the performance, security, and scalability of modern software ecosystems.
17 May 2026
