Correspondence

Open a line

Let's build something that matters.

Scale: NTS
Rev: B
Issued: 2026.09

C-700record

sheet: C-700
title: Correspondence
subtitle: Open a line
discipline: C · Correspondence
scale: NTS
revision: B
issued: 2026.09
refs: A-101, W-400
email: hello@akshaybajpai.com
linkedin: linkedin.com/in/ax5hay
github: github.com/ax5hay
twitter / x: @ax5hay

General arrangement

G-000 Key Plan — General arrangement of the complete set
A-101 The Architect — Biography, trajectory, and operating principles
R-301 Research — Published work and experimental directions
S-201 Structural Principles — The decisions that outlast implementation
W-400 Works — Case studies, as built
E-600 Essays — Longer arguments about systems, cost, and trust
B-500 Field Notes — What the work taught, written down while it was fresh
C-700 Correspondence — Open a line

Works · details

W-401 Forward-Deployed: Multi-Tenant Fertility & Surrogacy AI — Three coordinated chatbots, a governed NL-to-SQL reporting agent, and a shared LLM platform layer across multiple client programs, with a roadmap to production on AWS CDK.
W-402 AIDA: Health Programme Intelligence You Can Brief From — Turning facility assessment rows into screening rates, management gaps, and district rollups, with optional LLM narratives that never invent the numbers.
W-403 Agentic Video Intelligence for 24/7 Operations — Real-time CCTV triage with LangGraph and MCP: Kafka ingestion, sub-200ms paths, and defense-grade on-prem deployment.
W-404 Neural Map Personal Site: Spatial Navigation as Homepage — A scroll-driven Three.js constellation where clusters replace nav bars, with hover, fly-in, and iframe overlays for essays, work, and writing.
W-405 AURIXA: Conversational AI Orchestration at Scale — Multi-tenant microservices platform for real-time LLM routing, RAG, agent execution, safety guardrails, and voice, built as a production Turborepo monorepo.
W-406 Alzheimer's Classification: Master's Thesis Research — Benchmarking nine machine learning models on OASIS longitudinal biomarkers for dementia detection: rigorous preprocessing, grid search, and clinical interpretability.
W-407 Agentic Finance & Multimodal Healthcare AI — LangGraph workflows across portfolio logic and onboarding, plus QLoRA clinical imaging pipelines on HIPAA-aware AWS with hybrid RAG at sub-800ms p95.
W-408 Publishing AI Automation: Multi-Channel Support at Scale — Multi-channel author query automation with intent classification, hybrid RAG, unified identity across WhatsApp and email, and confidence-gated human escalation.
W-409 Restaurant SaaS Forecasting at Scale — Founding-engineer delivery for inventory and demand sensing: XGBoost and Prophet, Node APIs, Next.js ops dashboard, and 2M+ events/day pipelines.
W-410 Insurance Document Intelligence on AWS — Multimodal RAG, Claude and GPT-4 Vision, LayoutLMv3 extraction, and ensemble underwriting models: 95%+ accuracy at 10K+ queries/day.
W-411 Clinical NLP from Unstructured EHRs — BioBERT and spaCy NER pipelines extracting 47+ structured variables at 91.5% accuracy, across 5K+ documents/day, with risk scoring at scale.

Essays · details

E-601 The Model That Refuses to Draw — Generative models predict pixels; JEPA predicts what the pixels mean. Why the refusal to reconstruct is the most important architectural decision in world models, and what it teaches anyone who builds systems.
E-602 Minimalism as Engineering — Why less is more in system design: fewer dependencies, fewer features, fewer moving parts, and how to get there without sacrificing capability.
E-603 The Architecture of Trust — How system design either builds or erodes trust, and what to optimize for when the user can’t see inside the black box.
E-604 Why Performance Is a Feature — Performance is not a nice-to-have. It’s a product requirement that affects conversion, retention, and trust. Here’s the case and the practice.
E-605 The Cost of Convenience — Why every dependency and every abstraction has a price, and how to pay it consciously.
E-606 What Systems Thinking Actually Is — A long-form look at systems thinking: feedback loops, leverage points, and why it’s a discipline, not a buzzword.

Field notes · details

B-501 Reinforcement Learning After the Reward Model — How reasoning models are actually trained now: verifiable rewards instead of learned ones, GRPO and its descendants, RL compute that scales on a curve, and agents trained inside environments. With the engineering lessons for anyone shipping LLM systems.
B-502 World Models, As Issued: The State of the Set in October 2026 — A field survey of where world models actually stand: V-JEPA 2.1, LeJEPA, Dreamer 4, Genie 3, Marble and Atlas, Cosmos, and a billion-dollar bet in Paris. What shipped, what it cost, and what it is for.
B-503 Experimental UI as an Engineering Discipline — Why treating experimental UI and creative front-end as engineering, not “designer code”, raises the bar for both art and performance.
B-504 Architecture Design for Healthcare AI — How to design AI systems in healthcare: compliance, safety, and the primacy of the clinician in the loop.
B-505 AI in Restaurant Automation — Where AI actually helps in restaurant operations, order prediction, inventory, and kitchen flow, and where it’s hype.
B-506 Systems Thinking for Founders — Why founders who think in systems ship better products and make fewer irreversible mistakes.
B-507 Performance Engineering on Static Hosting — How to hit Lighthouse 95+ and sub-second FCP when you have no server: budgets, critical path, and discipline.
B-508 Building SaaS with a Zero-Dependency Mindset — Why minimizing dependencies is a strategic advantage in SaaS, and how to do it without reinventing the wheel.
B-509 DNS-Level Ad Blocking. System Design — How to design a DNS-based ad blocking system: architecture, tradeoffs, and what you give up when you block at the resolver.
B-510 AI Infrastructure Philosophy — Why the best AI systems treat infrastructure as a first-class product, and how to think about reliability, scale, and operator experience.