BECOME 10X MORE VALUABLEIN THE POST-AI ERA.
Algoroq is the 12-week transformation program for senior engineers who want to architect production AI-native systems — and become 10X more valuable in the post-AI world, not replaced by it.
12
WEEKS
3H
PER_SESSION
5+YR
EXP_REQUIRED
MAY_10
BOOT_DATE
Cohort members receive offers from
// THE_CHOICE
This is your moment, Mr. Anderson.
"You take the blue pill — the story ends. You take the red pill — you stay in Wonderland, and I show you how deep the rabbit hole goes."
You take the blue pill
The story ends here.
- ✕Junior engineers + AI close the gap — fast
- ✕Your value is measured in code output — a commodity
- ✕You stay comfortable… until you're not
- ✕Salary growth stagnates as your leverage shrinks
- ✕You spend time catching up, not setting direction
- ✕In 3 years, you're explaining yourself to someone younger
You take the red pill
See how deep the rabbit hole goes.
- ▸You architect the systems AI builds on top of
- ▸You evaluate AI output — and know exactly when it's wrong
- ▸Your judgment is the layer no model can replicate
- ▸Senior engineers with AI systems knowledge command 1.5–2x salaries
- ▸Companies compete for engineers who think at this level
- ▸Your leverage compounds as AI commoditizes everything below you
// WHY_NOW
The window is open.
Not for long.
> Engineers who understand production AI-native systems today will define the architectural standards of the next decade.
The value is shifting upward — fast
AI coding tools are collapsing the gap between junior and senior output. The new leverage is in architecture, systems thinking, and judgment — skills that took years to build and that AI cannot replicate.
Senior engineers with AI systems knowledge are already rare
Engineers who understand LLM infrastructure, agent orchestration, and production AI architecture are commanding 1.5–2x salaries. Right now there are more open roles than people who can fill them.
The patterns being set now define the next decade
The architectural standards for AI-native systems are being written today — by the engineers doing this work right now. The ones who wait will spend years learning patterns someone else defined.
The complete senior engineer transformation.
3-hour masterclasses, coursework, assignments, and deep reading material — each week dedicated to a single topic. Built for 2025 and beyond.
// CURRICULUM_MATRIX
Problem Solving & Breaking Down Complex Systems
- >MOSCOW framework for requirement prioritization
- >Estimation techniques — users, load, storage, bandwidth
- >Breaking ambiguous problems into bounded sub-systems
- >Trade-off thinking: CAP theorem, consistency vs availability
7 Fundamental Systems Every Senior Engineer Must Know
- >URL Shortener, SaaS Platform, News Feed, Ecommerce
- >File Transfer Systems, Payment Gateways, Messaging
- >Component pattern recognition across all 7 systems
- >From first principles to production-grade design
AI-Native Architecture
- >AI routers, vector DBs, RAG pipelines at production scale
- >Memory systems — short-term, long-term, episodic
- >MCP (Model Context Protocol) deep dive
- >Agents, tool calling, and agentic orchestration patterns
Supercharged Building with AI
- >Prompt chaining and multi-step skill composition for production AI workflows
- >Token budget modeling — cost vs quality trade-offs at production scale
- >Agentic team workflows: spec-to-PR pipelines and review automation
- >Expert-level AI-augmented development: context engineering, not prompt hacking
Breaking Down Claude Code & Codex
- >Context window architecture and code injection strategies for large repos
- >Semantic chunking, AST-based splitting, and call graph construction
- >Dependency analysis, execution traces, and code intelligence systems
- >Shipping production systems with agentic IDEs — from spec to deployment
OpenAI & Anthropic System Design
- >Planet-scale LLM API infrastructure design
- >GPU scheduling, model routing, rate limiting at scale
- >Model caching, prompt deduplication, billing infrastructure
- >Handling millions of concurrent inference requests
Hugging Face / Together AI / Replicate System Design
- >Open-source LLM hosting infrastructure design
- >Inference at massive scale — cold starts, batching, preemption
- >Multi-model serving and dynamic routing strategies
- >Cost optimization for open-source inference workloads
Distributed Systems — Build Real Systems
- >Build a distributed logger (Datadog / Splunk architecture)
- >Build a distributed file storage system (S3, HDFS, Ceph)
- >Raft, Paxos, erasure coding, consistent hashing
- >Indexing deep dive — B-trees, LSM trees, SSTables
Advanced Decentralized Systems
- >Kademlia DHT, Relay Nodes, Gossip protocols
- >Swarm storage and peer-to-peer coordination
- >Libp2p, IPFS, decentralized coordination primitives
- >Building intuition for the systems of tomorrow
Security for Senior Engineers
- >Cloud security, network and app-level hardening
- >Compliance in practice: SOC2, GDPR, ISO 27001
- >SAST/DAST tooling, supply chain security
- >Basic pentesting every senior engineer should know
Making Sure Your AI is Safe
- >Prompt injection, jailbreaking, data poisoning attacks
- >Unauthorized tool calling and memory poisoning
- >Full attack taxonomy and systematic defense patterns
- >Security-first AI architecture from day one
AI Agents, Swarms & Orchestration System Design
- >CrewAI, AutoGen, ADK — deep architecture dive
- >DAGs, agentic collaboration, memory and tool sharing
- >Context compression, re-usage, and state management
- >Designing the orchestration systems of 2025–2030
// WHO_IS_THIS_FOR
Senior Engineers (5+ years)
You build features daily but want to think at the architecture level. This track gives you the mental models to design systems, not just implement them.
Tech Leads & Staff Engineers
You're expected to make system-level decisions. This track sharpens your ability to evaluate trade-offs and communicate architecture choices.
Interview Candidates
System design interviews are your bottleneck. This track doesn't teach you to memorize — it teaches you to think like the interviewer.
// WEEKLY_SCHEDULE
Every Tuesday
Assignment Evaluation8:30 PM IST | 8 AM PST
Every Thursday
AMA Sessions8:30 PM IST | 8 AM PST
Every Saturday
Live Classes8:30 PM IST | 8 AM PST
Your Instructor
// the engineer behind the program
Akhil Sharma
LinkedIn Top Educator · Founder @ Armur AI (VC Backed)
What took me 65K hours of tech experience, I'll teach you in 12 weeks.
"
Frequently asked questions
> hello@algoroq.com
$Who exactly is this for?
Senior engineers with 3+ years of production experience who want to understand the full stack — distributed systems, AI-native architecture, LLM infrastructure, and security. If you're still learning how to code, this isn't the right program. If you already write production code and want to think at the architecture level, you're in the right place.
$Why is this different from other system design courses?
Most courses teach you to pass interviews. This one teaches you to think like the engineer who designs the systems that the interview questions are based on. We cover OpenAI-scale LLM infrastructure, agent orchestration, decentralized systems, and AI security — things no other cohort touches.
$Will this help me crack FAANG/senior interviews?
Yes — but as a side effect, not the goal. This cohort sharpens the exact thinking those interviews test for: real-world trade-offs, constraints, and design under pressure. You won't just pass interviews — you'll understand the questions at a fundamentally deeper level.
$I've already watched 50 hours of YouTube. Do I need this?
If passive consumption alone got engineers to senior architecture thinking, there'd be no shortage of great system designers. This cohort forces you to stop consuming and start architecting — with live feedback, structured pressure, and real systems.
$How much time per week does this require?
Plan for 8–12 hours per week: a 3-hour Saturday masterclass, Tuesday assignment evaluation, Thursday AMA, plus coursework and reading. This is an intense 12 weeks. It's called a transformation program because it is one.
$What if I miss a live session?
All sessions are recorded and available within 24 hours. You also have async access to the cohort Slack for Q&A throughout the 12 weeks.
$Do I need to know AI or machine learning?
No ML background required. We're teaching you to design and architect AI systems — not train models. You need solid engineering fundamentals (3+ years) and curiosity about how the AI systems you use every day are actually built.
$Is the $2,400 worth it?
One salary negotiation with this knowledge more than pays for it. Engineers who understand LLM infrastructure and AI-native architecture are already commanding significantly higher compensation. But more than money — this is about staying relevant in the most consequential technical shift of the last 30 years.
$I've read Designing Data-Intensive Applications twice. Will I learn anything new?
DDIA is excellent for the foundations. But it doesn't cover AI-native architecture, agent orchestration, LLM infrastructure at OpenAI/Anthropic scale, or the decentralized systems powering the next generation of protocols. We go well beyond it.
Alumni from Cohort 001 & 002
"The way Algoroq connects real-world architecture patterns with deep technical reasoning is unmatched. It gave me clarity and confidence that no other course ever did."
Amritanshu Mishra
Senior Backend Engineer
"I've done system design interviews before — but Algoroq taught me how to actually design systems at scale. This is what engineering leadership looks like in practice."
Naren Kalekar
Principal Engineer
"Every module in Algoroq made me rethink how I approach design reviews. It's not theoretical — it's battle-tested thinking you can use immediately at work."
Suresh Alex
Software Architect
"I thought I understood distributed systems — until Algoroq showed me where the real gaps were. It's the most practical deep-dive I've done so far."
Chinmay Kulkarni
Engineering Manager
"I was looking for something that could help my team level up in architecture, and Algoroq delivered. It goes beyond just system design — it builds your product thinking, your technical judgment, and your ability to lead high-stakes engineering discussions."
Peter Blay
Cloud Infrastructure Engineer
"What I loved about Algoroq is how grounded it is in reality. From consistency models to traffic estimation, this cohort gave me frameworks I now use weekly. Highly recommended."
Aditya Narayan
Senior Cloud Architect
"I joined Algoroq to prep for interviews but ended up learning how to actually architect robust systems. This cohort raised my bar for engineering thinking."
Akshay Nagargoje
SDE-3
"No fluff. No filler. Algoroq gave me the clearest mental models I've seen — from queues to load balancers to observability. It's now part of how I think."
Supriya Shinde
Cloud Solutions Architect
"Most courses feel like slides. Algoroq feels like the real thing. You learn how to build things that won't break when your user base 10x's."
Chandra Prakash
Chief Technology Officer
"There's before Algoroq and after. I now approach architecture with structure, intent, and speed — and that's changed the way I work."
Nishant Singh
Blockchain Architect
"Algoroq fills the massive gap between writing code and building systems that survive real-world scale. It's easily the most impactful cohort I've done."
Sumeet Joshi
Staff Engineer
The senior engineer the post-AI world 
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