MM
Mayank Mahajan

Mayank Mahajan

Full Stack & Distributed Systems Engineer

Software engineer & systems architect engineering high-throughput web systems, containerized cloud infrastructure with Docker & Kubernetes, low-latency caching with Redis, autonomous Agentic AI runtimes, and cross-platform mobile apps using React Native & Expo.

Containers:Docker & K8sIn-Memory:Redis CachingAutonomous:Agentic AI LoopsMobile:React Native ExpoWeb:Next.js App RouterDatabase:PostgreSQL & Prisma
View 4 Flagship ProjectsResume (PDF)Engineering StackGitHub (36 Repos)
ONLINE
mesh: us-east-prodtelemetry: 100% healthylatency: 1.2ms
// System Runtimes
Core EnginesNode.js • Bun • Python 3.12
// Caching & Distributed Queues
In-MemoryRedis (Pub/Sub & Celery Broker)
// Cross-Platform Mobile
Mobile AppsReact Native (Expo SDK 52)
// Algorithms & Verification
LeetCode152 Solved (76 Mediums Benchmark)
Production Tested & ValidatedInteractive 3D Viewport
4
Flagship Projects
production codebases
150+
DSA Benchmark Solved
LeetCode (76 Mediums)
4,350+
Annual GitHub Commits
verified contributions
36+
Verified Repositories
open-source & systems
Docker ContainerizationInfra
Kubernetes OrchestrationClusters
Redis In-Memory Broker & CachePub/Sub
Agentic AI Tool LoopsAutonomous
React Native & Expo SDKMobile
FastAPI Async MicroservicesAPI Gateway
Celery Distributed WorkersTask Queue
PostgreSQL & Prisma ORMRelational
Linux Namespaces & cgroupsSandboxing
Bun & TypeScript EngineRuntime
Next.js App Router (RSC)Full Stack
Docker ContainerizationInfra
Kubernetes OrchestrationClusters
Redis In-Memory Broker & CachePub/Sub
Agentic AI Tool LoopsAutonomous
React Native & Expo SDKMobile
FastAPI Async MicroservicesAPI Gateway
Celery Distributed WorkersTask Queue
PostgreSQL & Prisma ORMRelational
Linux Namespaces & cgroupsSandboxing
Bun & TypeScript EngineRuntime
Next.js App Router (RSC)Full Stack
Architecture & Systems Capabilities

Engineered Across Containers, Distributed Systems & Mobile

Practical production expertise spanning Docker containerization, Kubernetes orchestration, Redis in-memory pipelines, autonomous Agentic AI runtimes, and React Native mobile development.

Infra & DevOps

Containers & Cloud Orchestration

Production containerization, cluster orchestration, microservice isolation, and automated deployment pipelines.

Docker• CoreDocker Compose• InfraKubernetes (K8s)• OrchestrationContainer Sandboxing• SecurityCI/CD (GitLab/GitHub)• AutomationLinux / Bash Systems• OSNginx Reverse Proxy• Networking
Production Verified7 tools
Backend & Systems

Caching, Queues & Distributed Backends

Low-latency in-memory data structures, distributed task workers, message brokers, and real-time APIs.

Redis (Cache & Pub/Sub)• In-MemoryCelery Task Queues• Async WorkersNode.js / Express• RuntimeFastAPI / Python• Async APIWebSockets / Socket.io• Real-TimeREST API Architecture• ContractsRate Limiting & Idempotency• Reliability
Production Verified7 tools
Autonomous AI

Agentic AI & LLM Engineering

Autonomous reasoning loops, tool & function calling pipelines, LLM gateway integration, and evaluation workflows.

Autonomous Agent Loops• Core AITool & Function Calling• ToolingHuman-in-the-Loop Gating• SafetyOpenRouter & Multi-LLM• GatewayStreaming Token Pipelines• LatencyGemini AI & Claude 3.5• ModelsPrompt & Context Planning• Architecture
Production Verified7 tools
Mobile Apps

Cross-Platform Mobile Development

Fluid 60FPS mobile engineering for iOS and Android with unified backend APIs and native device integration.

React Native• Cross-PlatformExpo Ecosystem• Mobile SDKNative Device Bridges• HardwareMobile Navigation• RoutingGestures & Animations• UI/UXOffline-First Sync• StateMobile API Consumption• Networking
Production Verified7 tools
Web Systems

Full Stack Web & Database Architecture

Server-driven web platforms, type-safe full-stack architectures, relational schemas, and indexing optimizations.

Next.js (App Router)• RSC/SSRReact 19 / TypeScript• FrontendPostgreSQL• RelationalMongoDB• DocumentPrisma ORM & Mongoose• Data LayerTailwind CSS• StylingDatabase Indexing & Normalization• Scale
Production Verified7 tools
Foundations

Computer Science & Algorithmic Rigor

Strong algorithmic problem-solving foundation with verified mastery in high-complexity data structures.

Data Structures & Algorithms• Core CSLeetCode 150+ (76 Mediums)• BenchmarkC++• SystemsJava• OOPPython• ScriptingConcurrency & Multi-Threading• OSComputer Networks & Protocols• Systems
Production Verified7 tools
Real Repositories • 4 Flagship Engineering Case Studies

Flagship Production Projects

Real-world systems engineered across distributed asynchronous queues, containerized sandboxes, autonomous agentic loops, and full-stack streaming architectures.

All 36 Public Repos
01//Distributed Systems & Docker
Verified GitHub Repo

TransactIQ

AI-Powered Asynchronous Financial Transaction Processing Pipeline

SYSTEM DATA FLOWPipeline
01CSV Ingest02FastAPI Gateway03Redis Task Queue04Celery Workers05PostgreSQL + Gemini
Architecture & Design:

FastAPI service with Celery distributed workers backed by Redis broker, PostgreSQL database with Alembic schema migrations, and full containerization via Docker Compose.

System Purpose:

A distributed financial processing engine designed to ingest, validate, and reconcile large CSV transaction batches asynchronously with AI-driven anomaly detection.

Key Engineering Implementations:
Architected non-blocking async pipeline using Celery workers and Redis in-memory broker for high-throughput batch transaction ingests.
Integrated Gemini AI inference for automated classification, fraudulent pattern detection, and intelligent transaction reconciliation.
Engineered reproducible production environment using multi-container Docker Compose with PostgreSQL and Redis health checks.
DockerRedisCeleryFastAPIPythonPostgreSQLGemini AISQLAlchemy
View Repository
02//Agentic AI & Tooling
Verified GitHub Repo

OPENCLAW Agent

Autonomous AI Coding Agent Runtime & Tool Orchestration Engine

SYSTEM DATA FLOWPipeline
01Objective (CLI/Telegram)02Agentic Planner03Schema Validator04Approval Gate05Bun / Shell Execution
Architecture & Design:

Stateful agentic execution loop with planning, tool invocation schema validation, terminal UI output, and a remote Telegram bot gateway.

System Purpose:

An autonomous developer agent runtime built with TypeScript and Bun that executes multi-step coding objectives, terminal diagnostics, and codebase reasoning with human-in-the-loop safety.

Key Engineering Implementations:
Constructed autonomous multi-step reasoning loop with dynamic plan generation, self-correction, and tool orchestration via OpenRouter.
Implemented human-in-the-loop permission gating for sensitive shell execution and file modifications to prevent destructive actions.
Integrated bidirectional Telegram bot bridge allowing mobile remote agent dispatching, log streaming, and status monitoring.
Agentic AITypeScriptBunTool OrchestrationTelegram Bot APIOpenRouterTerminal UI
View Repository
03//Distributed Systems & Docker
Verified GitHub Repo

CTF Platform

Production Competition Backend & Real-Time Event Engine (745+ Commits)

SYSTEM DATA FLOWPipeline
01Client Socket / REST02Express 5 Gateway03Zod Validator04Redis Anti-Abuse Limiter05Dynamic Decay Engine06MongoDB Persistence07Socket.IO Broadcast
Architecture & Design:

Monorepo comprising an Express 5 TypeScript backend (api/), Next.js 16/React 19 web portal (web/), Redis distributed cache & queue layer, MongoDB Mongoose data models, and multi-container Docker Compose orchestration across 745+ commits.

System Purpose:

Production-grade, full-stack Capture The Flag competition platform engineered with a high-throughput Node.js/Express 5 backend, Redis pub/sub state synchronization, MongoDB persistence, and Socket.IO real-time event broadcasting.

Key Engineering Implementations:
Architected high-throughput backend (api/) using Node.js, Express 5, and TypeScript with modular Controller-Service-Repository architecture and Zod request validation.
Implemented real-time competition engine using Socket.IO and Redis Pub/Sub for sub-millisecond broadcast of solves, leaderboard re-ranking, and first-blood events.
Engineered dynamic scoring algorithms with decay formulas and atomic submission verification to eliminate race conditions under concurrent tournament traffic.
Hardened backend security with sliding token-bucket Redis rate limiting, JWT access/refresh token rotation with Redis blacklisting, and admin audit logging.
Configured multi-container production environments with docker-compose.yml orchestrating API, Redis, MongoDB, and Next.js frontend with automated health probes.
Node.jsExpress 5TypeScriptRedisSocket.IOMongoDBMongooseDocker ComposeNext.jsZodJWT
View RepositoryLive Production Demo
04//Full Stack Web
Verified GitHub Repo

Neuron AI Platform

Multi-Model AI Chat & Workflow Workspace with Streaming Architecture

SYSTEM DATA FLOWPipeline
01Web / Mobile Client02Next.js RSC03Better Auth Session04OpenRouter Gateway05Streaming Pipeline
Architecture & Design:

Next.js App Router with React Server Components, OpenRouter unified API gateway, Prisma ORM, Better Auth authentication, and PostgreSQL.

System Purpose:

High-performance generative AI workspace supporting multi-model conversations, branching history, session security, and stream chunking with sub-100ms response feel.

Key Engineering Implementations:
Architected responsive streaming UI with Next.js App Router and Server Components consuming real-time token streams via OpenRouter gateway.
Implemented conversational branch persistence and session security utilizing Better Auth and Prisma ORM against PostgreSQL.
Designed clean dark-mode interface with zero layout shift, markdown rendering, code block copy, and latency monitoring.
Next.jsTypeScriptPostgreSQLPrismaBetter AuthOpenRouter APITailwind CSS
View RepositoryLive Production Demo
Engineering Cadence

GitHub Engineering Velocity

Verified daily development cadence across 36 public repositories, Docker pipelines, and full-stack services.

github.com/Mayank9056-MM
Annual Commits
4,352+

Recorded past 12 months

Active Days
288 / 365

High consistency rating

Public Repos
36

Repositories on GitHub

Peak Day Velocity
107 commits/day

High-volume sprint delivery

Annual Contribution Graph (52-Week View)Synchronized with GitHub API
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
MonWedFri
Deployment Standard:Automated tests, Docker container workflows & staging releases
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Algorithmic Competence

Data Structures & Algorithmic Problem Solving

Algorithmic foundation in time-space optimization, complex graph/tree traversal, and production-grade interview benchmarks.

leetcode.com/u/EP17yS6xAn
Total Problems Solved
152/ 269 Submissions
Languages Used
C++JavaTypeScriptPython
Medium (Core SDE Interview Benchmark)76 solved
50% of all solved problems are Medium difficultyPrimary Technical Bar
Easy (Core Fundamentals & Syntax)62 solved
Hard (Advanced Optimization & Corner Cases)14 solved
Algorithmic Rigor

Systematic Optimization

Analyzing problems systematically through space-time trade-offs, invariant identification, and clean edge-case boundaries.

C++ & Java Core: Proficiency in STL vectors, hash maps, heaps, and Java Collections for minimal memory overhead.
Big-O Optimization: Reducing naive brute-force solutions from O(N²) to O(N log N) and O(N).
Systems Foundations: Algorithmic analysis applied to real-world memory bounds, thread synchronization, and cache locality.
2.0 Star LeetCode RatingActive Problem Solver

Topic-Wise Problem Breakdown

Categorized by algorithmic complexity tier

Dynamic Programming
14
Backtracking
11
Monotonic Stack
9
Divide & Conquer
7
Binary Search
22
Hash Tables
29
Trees & Binary Trees
18
Sliding Window
11
Bit Manipulation
11
Two Pointers
25
Array Manipulation
84
Stacks & Queues
20
Linked Lists
18
Sorting Algorithms
12

Let’s Build Something Resilient Together

Actively interviewing for Full-Time Software Engineering roles and high-impact engineering contracts. Experienced across full-stack web applications, Docker & Kubernetes infrastructure, Redis caching, autonomous Agentic AI, and React Native mobile apps.

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