Transforming data into actionable insights through advanced analytics and intelligent automation. I specialize in building scalable ML pipelines, cloud-native applications, and real-time data processing systems using modern technologies like Python, Rust, and cloud platforms.
My expertise spans from FastAPI microservices and Docker containerization to AI-powered analytics and MongoDB data solutions. I build production-ready systems that leverage machine learning for sentiment analysis, recipe intelligence, and sports analytics while maintaining robust MLOps practices and scalable architecture patterns.
Conversational recipe recommendation engine using GPT-powered natural-language search and nutrition constraints.
Real-time Twitter sentiment tracking for teams & players with visual dashboards and predictive mood shifts.
High-throughput WebSocket server supporting multiplayer coordination protocol for real-time gaming.
Discover the strengths, weaknesses, and real-world applications of Microsoft's two data visualization powerhouses ---
When expanding your database to handle financial records, customer data, and employee information, security isn't optional—it's mission-critical. ---
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