Specializing in Graph RAG architectures, multimodal neural models, and low-latency systems engineering.
Engineering intelligence
from first principles.
In an industry saturated with simple API wrappers, true innovation lies in deep architectural mastery.
With a deep foundation spanning Mechatronics and Artificial Intelligence, I approach software systems from the silicon, hardware signals, and mathematical ground zero.
From architecting context-aware Graph RAG platforms combining Neo4j graph schemas with dense vector indexing, to publishing computational research on cardiac digital twins, my work bridges theoretical intelligence with resilient, production-grade systems.
Focused on low-latency micro-inference pipelines, distributed containerized runtimes, and building intelligent autonomous agents designed for high-concurrency enterprise workloads.
Relational Knowledge Synthesis
Combining Neo4j semantic graph nodes with high-dimensional vector embeddings to eliminate hallucinations and achieve 40% faster multi-hop query resolution.
Distributed Micro-Inference
Architecting high-throughput FastAPI and React.js services with containerized Docker runtimes designed for real-time concurrent loads.
Hardware-Software Telemetry
Bridging physical test instrumentation, rotary encoders, and sensor board synchronization with low-latency software diagnostics.
Battle-tested technologies &
distributed intelligence stacks.
Complex problems demand
elegant architectures.
Selected systems across knowledge graphs, agentic swarms, computer vision pipelines, and mechatronic edge telemetry.
Multi-Modal Graph RAG
Vector search meets Knowledge Graphs for context-aware intelligence.
SafeGuard AI
Multimodal emergency response and edge telemetry system.
Cognitone AI
AI-driven software supply chain vulnerability & integrity platform.
T2I Evaluator
Evaluation & benchmark framework for Generative AI text-to-image models.
Cardiac Digital Twins
Substrate mapping resolution & mathematical modeling in digital twin systems.
Architecture follows
intelligence.
In an era of synthetic generation, true innovation lies in rigorous systems engineering, mathematical grounding, and resilient architectures.
Hybrid Graph-Vector Ingestion
Grounding generative models in structured Neo4j ontological knowledge to eliminate hallucinations and resolve multi-hop queries.
Distributed Async Micro-Inference
Architecting high-throughput FastAPI and containerized Docker runtimes designed for real-time concurrent loads.
Hardware-Software Telemetry
Bridging physical test instrumentation, rotary encoders, and sensor board synchronization with low-latency diagnostics.
Autonomous Multi-Agent Pods
Deploying specialized agentic pods with deterministic validation loops and stateful orchestration.
Cardiac Digital Twinning
Computational simulation and high-density physiological mapping for predictive medical diagnostics.
T2I Metric Benchmarking
Automated quantitative evaluation suites for prompt alignment, semantic fidelity, and generation quality.
Multi-Hop Relational Reasoning
Dynamic knowledge graph traversals connecting disparate enterprise document corpora.
Real-Time Edge Analytics
Sub-millisecond data extraction and signal processing on constrained microcontrollers.
Bridging cutting-edge research in Large Language Models, knowledge graphs, and distributed systems into production reality.