From AI recommendation engines and blockchain systems to full-stack platforms and low-level C++ engineering — each project is a demonstration of depth, range, and relentless technical ambition.
Developed an AI-powered conversational assistant giving users contextual access to organizational information, building LLM conversational functionality, retrieval-augmented generation and knowledge retrieval to improve response relevance.
Enterprise knowledge made instantly accessible through conversational AI
Senior project: designed and implemented a machine learning-based recommendation system, integrating backend logic with a user-facing interface. Contributed as AI Engineer and Front-End Developer — improving accuracy through data preprocessing and model tuning.
Best-in-class recommendation accuracy through advanced ML tuning
Built and integrated SAP SuccessFactors LMS with simulation environments to synchronize training data, working with APIs and integration logic to resolve data-flow issues and validate integration functionality.
Seamless enterprise data sync between LMS and simulation environments
Planned and developed a digital platform managing employee training records, qualifications and operational licenses, integrating QR-based verification, SAP synchronization, training pathways and AI-supported verification workflows.
Tamper-proof, decentralized credential verification at scale
Developed an AI-driven digital classroom display system enhancing learning environments through real-time data visualization, smart content delivery,
Smart classroom engagement elevated through real-time AI insights
Built a full-stack streaming platform with a dynamic React frontend and backend APIs, integrating external data sources and optimizing performance for a seamless, production-grade user experience.
Production-ready streaming architecture from scratch
Developed an interactive music streaming application with real-time playback features, API integration, and optimized state management for a smooth and responsive user experience.
Real-time playback engine with optimized state architecture
Developed a high-performance system in C++ to process large-scale log data using multi-threading and optimized memory management techniques, significantly improving execution speed and efficiency.
Dramatically faster log processing through multi-threaded C++ architecture
Built a hybrid system integrating a C++ backend with Python for flexible data analysis, enabling efficient communication between high-performance components and scripting environments.
Best-of-both-worlds: C++ speed + Python analytical flexibility
Implemented a custom memory management system in C++ to optimize allocation and deallocation, enhancing performance in data-intensive applications through fine-grained control.
Custom allocator outperforming standard libraries in data-intensive workloads
Developed a simplified database engine supporting data storage, indexing, and query processing — focusing on efficient file handling and system performance from first principles.
Built a functional database engine from the ground up
Upload PDFs and documents, then chat with them using a RAG (Retrieval-Augmented Generation) architecture — combining embeddings, semantic search, and document indexing to deliver precise, context-aware answers from your own knowledge base.
Enterprise-grade document intelligence powered by RAG and semantic search
Upload meeting recordings and get instant AI-powered transcripts, concise summaries, extracted action items, and a searchable conversation archive — turning every meeting into structured, actionable intelligence.
Meetings transformed into searchable, actionable knowledge with AI
Designed a desktop application using Qt integrated with a C++ backend to visualize and analyze real-time data through an interactive graphical interface.
Real-time analytics surfaced through an intuitive desktop GUI