AI Agent Framework for Data Engineering
ActiveBuilding production-ready multi-agent systems for autonomous data pipeline management. Industry-agnostic framework handling data quality, orchestration, and monitoring.
What I'm working on, learning, and thinking about right now. Inspired by nownownow.com.
Open to Consulting Singapore
Last updated: 2026-02
Current Projects
LLM Inference Efficiency Research
ResearchReference implementations of acceleration techniques: speculative decoding, KV-cache compression, custom Triton kernels. 8.1x speedup, 88% peak bandwidth on A100.
Circuit Tracing & Interpretability
ResearchMechanistic interpretability research for production AI safety. Circuit tracing techniques for understanding model internals and sandbagging detection.
3
Active Projects
7
Countries This Year
5
Technical Disclosures
3
Pending Publications
Learning & Research
- Multi-Agent Orchestration: Coordination protocols and fault tolerance for production systems
- Orbital Machine Learning: ML for orbit determination, conjunction forecasting, and satellite behavior classification from sparse observations
- Distributed Computing for Space: Gradient compression for high-latency links, model partitioning across heterogeneous nodes, and synchronization under intermittent connectivity
Currently Reading
Low Earth Orbit Satellite Design
George Sebestyen - Satellite systems architecture and distributed networks
Why Machines Learn
Anil Ananthaswamy - Mathematical foundations of machine learning
What I'm Not Doing
- Not taking on new full-time commitments (happy with current role)
- Not doing basic web development projects (focused on AI/data architecture)
- Not available for unpaid advisory work (limited capacity for pro-bono)
Open For
- Technical Consulting: AI/data architecture, framework design, team building
- Speaking Engagements: Conferences, workshops, podcasts on AI/data topics
- Research Collaboration: Academic partnerships on agentic systems or context modeling
- Open Source: Collaborators for my frameworks and tools