Hi, I'm Rakesh
AI Leader | Builder |
Engineer
I build AI-powered apps, tools, and enterprise software experiences. Passionate about scalable architecture, elegant user interfaces, and reducing friction in everyday digital workflows.
Featured Work
A collection of my latest apps, tools, and experiments.
Research Projects
Innovative research and distributed systems architectures built by my students at San José State University.
IntelliRoute: A Distributed Control Plane for Multi-LLM Orchestration
SJSU CMPE 273 — Enterprise Distributed Systems, Spring 2026
Most teams that ship LLM features call a provider SDK directly, which fails when adding a second provider. IntelliRoute serves as a distributed control plane for multi-LLM orchestration, managing routing, quotas, and fallback mechanisms.
Mesh Control: A Self-Healing Microservice Mesh with Bounded LLM-Driven RCA
SJSU CMPE 273 — Enterprise Distributed Systems, Spring 2026
An autonomous Site Reliability Engineering (SRE) agent for a Docker Compose mesh of eight gRPC microservices. Subscribes to a NATS telemetry bus, computes per-service metrics over a sliding window, and triggers bounded LLM-driven root-cause analysis (RCA) for recovery.
TraceAggregator: A Distributed Observability Platform for Multi-Agent LLM Pipelines
SJSU Master's in Software Engineering
Multi-agent LLM pipelines fail in ways traditional tracing tools cannot surface. TraceAggregator is a distributed observability platform specifically designed to capture agent dependencies, trace agent state transitions, and diagnose pipeline failures.
Geo-Distributed Rate Limiting with AI-Driven Traffic Shaping
SJSU Master's in Software Engineering
A highly resilient rate limiter combining G-Counter CRDTs for cross-region synchronization, regional failover, a Prometheus-driven control plane, and adaptive traffic-shaping. Features live RPS forecasting (EWMA/Holt-Winters) to dynamically adapt rate limiting policies in Redis.
Distributed AI Gateway: A Fault-Tolerant, Routing-Based Compute Cluster for Federated LLM Inference
SJSU Computer Engineering Department
An innovative, cost-conscious inference system aggregating idle heterogeneous commodity laptops over a Tailscale VPN mesh. Implements intelligent prompt routing, live resource monitoring, and automated leader election/failover evaluated across a physical four-laptop cluster.
Published Writing
Thoughts on AI transformation, engineering leadership, and scaling enterprise systems.
From Bullock Carts to Self-Driving Cars: Did Progress Make Us Happier?
Within a single lifetime, we have transitioned from analog slow-paced travel to AI-driven transportation and instant global connectivity. But has this incredible leap in technological capability actually made us happier, or have we simply traded slow anticipation for instant exhaustion?
Read Full ArticleConfidence Before Autonomy: What We Are Learning from AI in Customer Support
For the past year or so, my team has been using open-weight models such as IBM Granite, Llama 4, and GPT-OSS to build autonomous customer-support capabilities. At first, much of the discussion focused on the model: Which one is more accurate? Which one is faster? Which one handles a longer context?
Read on LinkedIn"Leverage" in an AI-Amplified World: Same Tools, Different Outcomes
Having access to advanced AI models is no longer a competitive advantage. The real differentiator lies in how you apply them to your workflow, structure feedback loops, and scale systems of agency.
Read on LinkedInToken Economics in AI Coding: Beyond Bigger Context Windows
Why simply expanding context size doesn't solve code comprehension, and how agentic chunking can improve LLM reasoning in codebase scales.
Read on LinkedInThe Next Challenge in Enterprise AI: Evaluating Decisions, Not Answers
Shifting focus from basic text generation accuracy to validating multi-step autonomous workflows and decision trees in high-stakes industries.
Read on LinkedInAre You a Giver, Matcher, or Taker? The Answer Shapes Your Career More Than You Think
Applying Adam Grant's organizational psychology frameworks to engineering culture and long-term career fulfillment.
Read on LinkedInCareer Insurance in the Age of AI: What Actually Makes You Hard to Replace
Navigating job security by cultivating deep systems thinking, emotional intelligence, and complex domain integration skills.
Read on LinkedInFinding Your Starting Point in the Age of AI
A practical, low-friction framework for tech executives to identify and implement high-yield AI experiments today.
Read on LinkedInFrom Syntax to Systems: Why Enterprise Modernization is More Than Just Rewriting Code
Why translating languages is the easy part, and the real challenge lies in decoupling legacy states and database schemas.
Read on LinkedInFrom Microservices to Agents: Rethinking Distributed Systems
How agentic patterns inherit and modify classic distributed architectures, including event-driven states, routing, and telemetry.
Read on LinkedInThe Algorithms We Taught Machines, But Forgot To Use Ourselves
Applying classic computer science algorithms (binary search, caching, sorting) to clarify daily life and leadership priorities.
Read on LinkedInMy 2025-2026 Reading Journey: Nine Books, Infinite Lessons
Reflections on how dedication to reading continuous literature reshaped my perspective on enterprise software and mentorship.
Read on LinkedInRecommended Reading
Books from the past year that shaped my perspective on wealth, technology, and life. Click to view on Amazon.
Never Eat Alone
A masterclass in professional networking and building genuine, mutually beneficial relationships throughout your career.
Buy on Amazon
The Almanack of Naval Ravikant
A collection of Naval's wisdom on wealth creation, happiness, and applying leverage via code, media, and capital.
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Give and Take
An eye-opening look at how our interactions with others shape our success, showing that givers often finish first.
Buy on Amazon
The Surrender Experiment
A fascinating personal journey about letting go of personal preferences and allowing life's flow to guide decisions.
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Why We Sleep
A deep scientific dive into sleep, examining how it affects physical health, cognitive functions, and emotional balance.
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Think Again
Explores the critical skill of rethinking and unlearning, helping us adapt faster to a rapidly shifting world.
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The 5 Types of Wealth
A practical framework to look beyond financial wealth, designing a life rich in time, health, relationships, status, and money.
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Superagency
An optimistic view on how artificial intelligence can dramatically scale individual human agency and capability.
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The Creation of Wealth
The historic story of the Tata Group and their contribution to nation building, corporate philanthropy, and ethical capitalism.
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Buy Then Build
A guide to acquisition entrepreneurship, explaining how to bypass the startup phase by acquiring existing established companies.
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Stuff Matters
A fascinating journey into the science and history of materials (concrete, steel, glass, plastic) that build our modern world.
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Algorithms to Live By
How computer science algorithms (sorting, search, cache replacement) offer powerful strategies for human decision making.
Buy on AmazonAbout Me
I lead AI transformation for IBM Software Support, turning LLMs and GenAI into real outcomes at enterprise scale. My work focuses on improving productivity, accelerating time to resolution, and increasing customer satisfaction by embedding safe, observable AI directly into support workflows.
I have spent over two decades at IBM building and scaling engineering platforms, including AIOps and cloud native systems with OpenTelemetry. I focus on building high performing teams, measuring outcomes, and delivering systems that create lasting value.
I have been teaching at San Jose State University since 2011, where I cover enterprise software, distributed systems, and AI. I am also a strong believer in giving back, and regularly mentor and coach students and early career professionals.