Anubhav Kumar Rao

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Building systems at scale — from distributed databases to LLM-powered platforms.

// About

Who I Am

I'm a software engineer who thrives at the intersection of systems engineering and applied AI. Currently at Coinbase, I'm working on expanding crypto derivatives markets to the UK and EU while building LLM-powered internal platforms.

Before Coinbase, I worked at D.E. Shaw & Co. on financial time-series infrastructure serving 13M+ tickers and RAG-based semantic search over instruments. I also interned at Rubrik (cloud storage infrastructure) and Razorpay (fintech/payroll).

Outside of work, I build things for fun — a transactional database engine with LSM Trees, a Linux file system simulator, and a real-time Raft consensus visualizer. I also review problems for LeetCode competitions for 5M+ programmers.

I graduated from IIIT Allahabad with a B.Tech in ECE (GPA: 8.65/10).

Education

Indian Institute of Information Technology Allahabad

B.Tech — Electronics & Communication Engineering

Nov 2020 – May 20248.65 / 10

Sri Aurobindo Public School

Class 12

Apr 2017 – Apr 201996.2%

4+

Companies

10+

Projects

12TB+

Data Handled

Contest Tester

LeetCode

// Experience

Where I've Worked

C

Software Engineer

Coinbase

Jun 2025 – Present

Remote, India

  • Spearheading expansion of Coinbase International Exchange & derivatives to the UK and EU — extending regulated crypto trading to millions of users.
  • Built an LLM-powered customer issue aggregation platform ingesting trading, compliance, and verification signals — reducing support contact rate by 15%, saving millions annually.
  • Classified customer chat transcripts at scale using LLMs; engineered ETL pipelines cutting project estimation timelines by 50%.
D

Member Technical (Software Engineer)

D.E. Shaw & Co.

Aug 2024 – Jun 2025

Hyderabad, India

  • Integrated RAG-based LLM solution into DESTerm, enabling semantic search across 13M+ financial instruments for quant analysts.
  • Architected high-throughput batch processing and log storage for large-scale trading reports, scaling to 2TB with Redis caching for sub-second access.
  • Built a time series library powering EOD & intraday data retrieval across 13M+ tickers and 100+ fields — adopted by 10+ teams.
  • Engineered quantitative analysis tools (quantile regression, seasonality adjustment) handling up to 12TB of time series data.
R

Software Engineering Intern

Rubrik

Jan 2024 – Jun 2024

Bangalore, India

  • Scaled archival storage backup 4× (8TB → 32TB) for Azure VMs and managed disks.
  • Integrated GCP cloud metrics into Rubrik's reporting infra, increasing monitoring coverage by 10% and driving a 17% increase in report traffic.
  • Designed a unified reporting, metrics, and licensing framework adopted across all engineering teams.
  • Built multi-cloud cost and storage comparison tooling for VMs, Disks, and Databases across Azure, AWS, and GCP.
R

Software Engineering Intern

Razorpay

May 2023 – Jul 2023

Bangalore, India

  • Engineered department-level payout filters for XPayroll across 50+ organizations with 100% data migration and zero data loss.
  • Designed scalable MySQL schemas, RESTful APIs, and React frontend supporting seamless department onboarding across 50+ enterprise clients.
  • Introduced tax deduction schemes for Sections 80DDB, 80TTA, and 80TTB ensuring regulatory compliance across enterprise payroll.
// Projects

Things I've Built

Personal projects I built to go deep on systems, databases, distributed algorithms, and AI.

SRE / AI AgentsMar 2026

SRE Agent Swarm

Autonomous Incident Response Platform

A production-grade, self-healing SRE control plane built as a 6-agent swarm (Observer, Diagnoser, Remediator, Safety, Orchestrator, Learner) over NATS JetStream. Monitors 10+ polyglot microservices, performs LLM-assisted root cause analysis with Gemini/OpenAI fallback chain, enforces safety gates with human-in-the-loop approvals via a React dashboard, executes YAML runbook-based remediation, and scores MTTD/MTTR with chaos engineering scenarios. The Learner agent uses RAG over ChromaDB to recommend runbooks from historical incidents.

PythonGoNode.jsNATS JetStreamFastAPIReactPrometheusLokiTempoChromaDBDocker
Algorithms / VisualizationMar 2026

HNSW Simulator

Approximate Nearest Neighbor Visualizer

An interactive, browser-based visualizer for the Hierarchical Navigable Small World (HNSW) algorithm. Simulates multi-layer graph construction, greedy top-down nearest-neighbor search, random-level assignment, and degree-pruned edge linking, with live layer isolation, operation logs, and graph statistics to make vector search internals intuitive.

ReactViteJavaScriptHNSWANN SearchSVG
Operating SystemFeb 2026

AnubhavOS

Educational Operating System

A from-scratch, educational 32-bit x86 operating system written in C and NASM assembly. Boots via GRUB, runs an interactive shell with syscalls, keyboard input, filesystem, and VGA text-mode display — all with zero external dependencies.

CAssemblyx86Operating SystemGRUB
AI SystemsFeb 2025 – Mar 2025

Trade Agent

Multi-Market AI Agent

A 5-agent LLM-powered equity analysis system using LangGraph orchestration, integrating RAG over financial reports via Qdrant and real-time sentiment analysis. Delivers structured BUY/SELL/HOLD signals with confidence scores across RSI, MACD, and Bollinger Band indicators.

PythonLangGraphFastAPIQdrantLLMRAG
Database SystemDec 2024 – Jan 2025

MiniDB

Transactional Database Engine

SQL-compliant database built from scratch with LSM Tree storage, Write-Ahead Logging for crash recovery, and MVCC-based ACID transactions. Achieves 3× faster writes than B-Tree implementations for write-heavy workloads with 10K+ transactions/sec.

GoLSM TreeMVCCWALACID
Distributed SystemsNov 2024 – Dec 2024

Rafty

Raft Consensus Visualizer

Real-time distributed consensus visualizer simulating a 5-node Raft cluster with a virtual networking layer. Enables deterministic fault injection and demonstrates 99.9% consensus achievement under network partitions and node failures.

GoReactWebSocketsDistributed SystemsRaft
Distributed SystemsMar 2026

CRDTs

Collaborative Document Editor

A real-time collaborative document editor built from scratch using CRDTs (Conflict-free Replicated Data Types). Implements the RGA algorithm with tombstone-based deletion, an insert backlog for out-of-order operations, and deterministic tie-breaking — enabling conflict-free multi-user editing over WebSockets with zero central coordination.

TypeScriptReactWebSocketsCRDTsMonaco EditorNode.js
Storage EngineJan 2025 – Feb 2025

Linux FS Simulator

File System Engine

Production-grade file system simulator implementing ext2/ext3 architecture with inode-based storage, directory management, and bitmap allocation. Reduces storage lookup complexity from O(n) to O(1) for 1000+ files.

JavaInodesBitmapsext2/ext3Storage Engine
// Achievements

Coding Profiles & Leadership

Codeforces

Expert (1700+)

Achieved ranks of 300th, 561st, 725th, and 739th out of 40,000 participants across over 120 contests.

CodeChef

5-Star (2077)

Attained 5-star rating, securing global ranks of 35th, 43rd, 65th, 81st, and 87th among 20,000 participants.

LeetCode

Guardian (2404)

Top 0.37% of users worldwide. Ranked 40th and 95th globally among 30,000 users.

Community & Leadership

Roles

LeetCode rated contest tester. Problem setter on CodeChef, Codeforces, and HackerEarth. GDSC IIITA wing lead.

// Skills

Technologies & Tools

Languages

GoPythonJavaTypeScriptJavaScriptSQLBash

Backend & Systems

FastAPINode.jsRESTful APIsgRPCLSM TreesWALMVCC

AI & ML

LangGraphRAGLLMsQdrantChromaDBPrompt EngineeringETL Pipelines

Data & Infrastructure

RedisPostgreSQLMySQLNATS JetStreamApache KafkaDockerKubernetesAWSGCPAzure

Frontend

ReactNext.jsTailwind CSSWebSockets

Core CS

Distributed SystemsDatabase InternalsSystem DesignAlgorithms & Data StructuresOS & Networking
// Detailed Blog

Deep Technical Writing

Long-form engineering breakdowns with architecture maps, design tradeoffs, incident workflows, and implementation details from projects I build end-to-end.

// Contact

Let's Connect

I'm always open to interesting conversations — whether it's a new role, a project idea, or just saying hi.

Want to work together?

I'm currently at Coinbase but always open to hearing about exciting opportunities.

Send me an email