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Full-Stack AI/ML • Research • Production Systems

Architecting Intelligence Labs

Founded by Pawan K Jha— Sr. Principal AI/ML Scientist & Systems Architect

Deep technical research across the full AI/ML stack — model pre-training & architecture, fine-tuning & post-training alignment, multi-agent systems, LLM inference at scale, and production AI/ML platform engineering.

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Model Pre-trainingFine-tuning & AlignmentLLM Inference at ScaleMulti-Agent SystemsAI/ML PlatformsProduction MLAgentic AIML Infrastructure

Featured Deep Dives

Comprehensive technical articles on AI systems, architecture, and production ML.

LLM Systems
Architecting LLM Inference
KV cache, continuous batching, vLLM internals, speculative decoding, quantization, and serving architecture.
25 min readRead more
ML Infrastructure
Architecting Reinforcement Learning for LLMs
RLHF, PPO, DPO, reward modeling, and alignment workflows.
20 min readRead more
System Design
ML System Design for Principal Engineers
Search, recommendations, forecasting, fraud systems, ML platforms, and production tradeoffs.
30 min readRead more
AI Compute
Demystifying AI Compute
GPUs, TPUs, accelerators, memory, networking, and the real economics of AI infrastructure.
22 min readRead more
View All Deep Dives

Architecture Blueprints

Visual reference architectures for building real-world AI systems.

View BlueprintLLM Systems
LLM Inference Blueprint
End-to-end architecture for high-throughput LLM serving with batching and caching.
View BlueprintAgentic AI
Agentic AI Stack Blueprint
Multi-agent orchestration, tool calling, and state management architecture.
View BlueprintLLM Systems
RAG Production Architecture
Retrieval-augmented generation with vector stores, chunking, and hybrid search.
View BlueprintML Infrastructure
ML Platform Blueprint
Feature stores, training pipelines, model registry, and inference infrastructure.
View BlueprintML Infrastructure
Distributed Training Blueprint
Data parallelism, model parallelism, and gradient synchronization at scale.
View BlueprintProduction ML
AI Evaluation Pipeline
Automated evaluation, regression testing, and quality gates for ML systems.

Watch the Visual Deep Dives

Whiteboard-style explanations and architecture walkthroughs for complex AI systems.

18:24
LLM Systems
How LLM Inference Actually Works
Deep dive into the mechanics of token generation, attention, and serving.
12:45
LLM Systems
KV Cache Explained Visually
Visual walkthrough of attention caching and memory optimization.
22:10
Agentic AI
Agentic AI Stack: What Breaks and Where
Failure modes and reliability patterns for multi-agent systems.
15:30
Labs
OptiFlow Architecture Walkthrough
Technical deep dive into the OptiFlow optimization system.

Tools

Standalone tools built to solve real pain points in AI/ML infrastructure. Each tool has its own home — listed here as a portfolio.

FeaturedActive
OptiFlow AI
Generative AI-powered distributed and parallel job optimizer for cloud, Spark, Ray, Kubernetes, ML training, and LLM inference workloads.
Explore OptiFlow AI
Coming Soon
LaunchGate AI
Model evaluation and release-readiness agent for ML and LLM systems.
Coming Soon
Coming Soon
RAG Evaluation Toolkit
Evaluation framework for retrieval quality, answer faithfulness, groundedness, and hallucination detection.
Coming Soon
Coming Soon
LLM Inference Playground
Interactive learning environment for prefill, decode, KV cache, batching, GPU memory, and inference optimization.
Coming Soon
Explore All Labs

Books & Ebooks

Technical guides and books on LLM systems, AI infrastructure, and production ML — written from real engineering experience.

Ebooks

Ebook
Coming Soon
Architecting LLM Inference Systems
From Runtime Engines to Multi-Node Distributed Serving
KV CachevLLMParallelismQuantization
Notify Me
Ebook
Coming Soon
LLM Inference for ML Engineers
Production GenAI Systems
Serving ArchitectureBatchingCost Optimization
Notify Me
Ebook
Coming Soon
AI Evaluation for LLM Applications
Reliability, Groundedness, and Quality Gates
RAG EvalHallucinationRegression Testing
Notify Me

Hardcover Books

Hardcover
Coming Soon
Architecting LLM Inference Infrastructure
From AI Accelerators to Serving Economics
GPU ArchitectureInference at ScaleCost Modeling
Notify Me

Learn

Structured learning — live cohorts, self-paced courses, and small-group mentorship for ML engineers and AI practitioners.

Coming Soon

Live Cohort Course

Production LLM Inference Systems
From single GPU serving to multi-node fleet routing. Hands-on with vLLM, TensorRT-LLM, SGLang, and real experiments. Small cohort, live sessions with Pawan.

$799 – $1,500 / person

Join Waitlist
Coming Soon

Recorded Course

LLM Inference for ML Engineers
Self-paced deep dive into LLM serving architecture, batching, KV cache, quantization, and inference optimization. Learn at your own pace.

$299 – $499 / person

Join Waitlist
Coming Soon

Mentorship Cohort

AI/ML Systems Mentorship
Small group mentorship (5–10 engineers) focused on LLM infrastructure, system design, and Principal/Staff-level career growth. Direct access to Pawan.

$500 – $2,000 / person

Join Waitlist

Corporate Training

Custom workshops for engineering teams. LLM Inference, ML Platform Design, GenAI Architecture. Delivered remotely or on-site.

Book Corporate Workshop

Speaking

Available for conference talks, corporate keynotes, podcasts, and panel discussions on AI systems and ML infrastructure.

Parallelism for Large-Scale LLM Inference

LLM SystemsInfrastructure

KV Cache: The Hidden Bottleneck in LLM Serving

LLM Systems

Production Agentic AI: What Actually Breaks

Agentic AIProduction ML

ML Platform Design at Scale

ML Platforms

From Prototype to Production: GenAI Architecture Decisions

System Design

AI Infrastructure Economics: Cost, Latency, and Tradeoffs

AI Compute

Invite Pawan to Speak

Available for conferences, corporate events, podcasts, and online summits. Talks are technical, practitioner-focused, and grounded in real production experience.

ML & AI infrastructure conferences
Corporate engineering summits
Podcasts and technical interviews
University and research talks
Send Speaking Inquiry

Work With Me

Advisory, architecture reviews, workshops, and consulting for teams building production AI.

AI Architecture Review
GenAI Strategy
LLM Infrastructure Advisory
Agentic AI System Design
ML Platform Design
Request an Architecture Review

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PJ

Pawan K Jha

Sr. Principal AI/ML Scientist & Systems Architect — Founder, Architecting Intelligence Labs

15+ years building large-scale ML platforms, LLM inference systems, search and ranking, forecasting, and production AI architecture across major technology companies. Architecting Intelligence Labs is my independent research and publishing platform — writing, tools, workshops, and consulting at the intersection of AI systems and production engineering.

LLM InferenceML PlatformsAI InfrastructureAgentic AIProduction MLSystem Design
About & MissionRead on SubstackLinkedIn