Building scalable, production-grade ML systems and data pipelines. Specializing in time series forecasting, ML & DL Models and LLM integrations
I am a Senior Machine Learning Engineer at Conversion Logix (CLX) with over +10 years of experience in architecting and deploying robust AI and data solutions. My work sits at the intersection of academic rigor and industrial application, combining a deep background in Applied Physics (MSc, PhD Candidate) with hands-on expertise in MLOps, cloud architecture, and backend development.
- 🏢 Role: Senior ML Engineer, focusing on production ML systems and real-time inference.
- 🎓 Academic Focus: Finalizing my PhD with research in Time Series Forecasting and Statistical Modeling.
- 🔭 Core Interests: RAG systems, transformer architectures, and building hybrid forecasting models.
- 🌱 Currently Learning: Deepening my skills in Rust for performance-critical systems and Julia for scientific computing.
- 🤝 Collaboration: I'm always open to collaborating on open-source AI projects, academic research, and speaking opportunities.
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My toolkit is broad, reflecting my experience from low-level systems to high-level cloud architecture. Here are the technologies I work with:
Languages & Runtimes
AI, ML & Data Science
Backend & Frameworks
Databases
Data Engineering, DevOps & MLOps
Cloud Platforms
Developer Tools
