AI Systems Architecture
Architecture
LLM & RAG Systems
Enterprise-grade retrieval and generation. We design systems that prioritize retrieval quality, hybrid search, and grounded outputs for complex knowledge bases.
LLM: Llama 3, Mistral, Claude
RAG: Hybrid Search, Reranking
Evaluation: Grounded Answer Verification
Orchestration
Agentic Workflows
Tool-using agents and orchestration. We build multi-step reasoning systems that survive production with robust memory and human-in-the-loop patterns.
Agents: Tool-Using, Multi-step
Memory: Long-term, Contextual
Deployment: Human-in-the-Loop
Personalization
Recommendation Systems
Enterprise-scale personalization. We engineer ranking pipelines and cold-start solutions for high-velocity SaaS and e-commerce environments.
Ranking: Candidate Generation, Ranking
Cold-Start: Offline/Online Evaluation
Latency: Low-latency Serving
Deep Learning
Applied ML for High-Stakes Data
Predictive modeling and geometric deep learning. We deliver honest evaluation on small and imbalanced datasets for clinical research and biotech.
Methods: Geometric Deep Learning, Multivariate ML
Data: Clinical, Omics, High-Dimensional
Evaluation: Honest Evaluation, Small Cohorts
ProductionGrade AI
Reliable systems engineered for high-stakes performance and measurable success.
Scaling personalized user experiences across millions of users with high-precision ranking pipelines and cold-start mitigation protocols.
Scale & Precision
Enterprise Recommendation Systems
Ranking:
High-Velocity Pipelines
Latency:
Low-Latency Serving
Translating complex clinical data into actionable insights using geometric deep learning and multivariate modeling for high-stakes research.
Applied Research
Clinical ML & Applied Research
Methods:
Multivariate ML
Outcome:
Honest Evaluation