Available for Work

JitendarMahara

I design and build high-performance, event-driven systems — from NSE-style matching engines and AI agents to workflow automation platforms. Currently based in Noida, India

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Years Experience
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Projects Built
0%
Latency Reduced

// WHO I AM

About Me

Building systems that scale, not just code that runs.

I'm a Backend & Distributed Systems Engineer with a deep focus on real-time, event-driven architectures. My work spans exchange-like matching engines, Kafka-powered pipelines, and low-latency WebSocket APIs.

At LTIMindtree, I engineered APIs for Citi Bank's banking data systems and reduced client-side update latency by ~30% using WebSocket-based synchronization. I love systems that have to perform under pressure.

I'm self-taught in distributed systems concepts, actively building open-source projects and constantly sharpening my problem-solving skills on LeetCode and GeeksForGeeks.

~/jitendar — zsh
~ whoami
jitendar_mahara
~ location
Noida, India
~ education
B.Tech ECE | 2019–2023
~ email
jitendarmahara2002@gmail.com
~ status
[████████░░] Open to Work

// TECH STACK

The Tools I Think In

Languages & Runtimes

TypeScriptJavaScriptPythonNode.js

Distributed Systems

Apache KafkaRedisWebSocketsPub/SubEvent-DrivenREST APIsWebhooks

Databases & Storage

PostgreSQLMySQLRedis (cache)

Cloud & DevOps

DockerAWSAnsibleLinuxGitTurborepoFull-Stack

Frontend (Working Knowledge)

React.jsNext.js

Top Proficiencies

Node.js / TypeScript85%
Kafka / Event-Driven75%
Redis / WebSockets80%
Docker / AWS65%

// WHERE I'VE WORKED

Professional Experience

Backend Engineer

LTIMindtree · Client: Citi Bank

Full-TimeJan 2024 – Sep 2025
  • Designed and developed secure, scalable backend APIs using Node.js and MySQL for banking data systems
  • Implemented real-time WebSocket-based data synchronization, reducing client-side update latency by ~30%
  • Worked on distributed backend services focused on performance, consistency, and reliability
  • Collaborated with frontend teams to ensure clean API contracts and backend-first architecture
Node.jsMySQLWebSocketsREST APIsBanking Systems

Backend Engineer

Raheja Developers

Full-Time2023 – 2024
  • Designed event-driven systems using Kafka Pub/Sub and WebSockets
  • Built transaction APIs with retry mechanisms, idempotency, and robust error handling
  • Optimized real-time pipelines for low-latency message delivery
  • Applied exchange simulation concepts in backend-heavy fintech prototypes
KafkaWebSocketsNode.jsPostgreSQLFintech

// WHAT I'VE BUILT

Featured Projects

🔥 Flagship · Trading Systems Live Demo

Perps — Perpetual Futures Exchange

A full-stack perpetual futures trading exchange — NSE-style, production-grade architecture. Built as a Turborepo monorepo with a Next.js frontend and a high-performance Node.js backend. Implements real-time order matching, live order books, WebSocket price feeds, and perpetual contract settlement logic.

  • High-performance order matching engine
  • 📊Real-time order book via WebSockets
  • 🔄Market & limit order support
  • 🏗️Turborepo monorepo architecture (TypeScript 98%)
  • 📦Next.js frontend + Node.js backend
TypeScriptNode.jsNext.jsWebSocketsRedisKafkaTurborepo
PERPETUAL/USDT
LIVE
PriceSizeTotal
67432.583.716250579
67432.561.877126571
67432.540.17611868
67432.552.615176336
67432.533.830258267
67432.522.340157792
67432.513.623244308
67432.510.71248012
67432.500.004%
67432.490.36624680
67432.482.040137562
67432.481.42596091
67432.482.917196701
67432.460.88359543
67432.450.23816049
67432.432.048138102
67432.441.920129470
K8S/BUILDFLOW · ns: previews
RECONCILING
pods
1/4
cold start
1.6s
volumes
pvc·rwo
NAMESTATUSCPUAGE
preview-a91fPending20m12m
preview-c72dContainerCreating185m18m
agent-loop-3Pending30m13m
sidecar-c72dRunning120m38m
~ build pipeline
prompt received
agent loop → tools
storage-sidecar hydrate
orchestrator apply
preview pod ready
reaper watching idle
☸️ Flagship · Cloud Infrastructure

BuildFlow — AI App Builder on Kubernetes

A Lovable-style AI app builder, built from scratch. You describe an app in chat; a coding agent writes the code inside a live, isolated environment and you get a running preview URL within seconds. The hard part isn't the chat — it's the infrastructure underneath, and that's what BuildFlow is.

A Turborepo monorepo of cooperating services: a primary backend (auth + project APIs + Vite starter template), an agent runtime with a planning/execution loop, streaming output and a typed tool registry, an orchestrator that generates and applies Kubernetes manifests to spin up a dedicated preview pod per project, a storage sidecar that hydrates and reconciles the workspace with Git for persistence, and a reaper that garbage-collects idle pods to keep costs flat.

  • ☸️Kubernetes-native: one isolated preview pod per project
  • 🧩Orchestrator generates & applies manifests programmatically
  • 🤖Agent loop: plan → tools → verify → stream
  • 💾Storage sidecar: Git hydrate, reconcile & reset
  • 🧹Reaper reclaims idle workspaces (TTL-based GC)
  • 🐳Dockerized services, per-service configs, TypeScript end to end
KubernetesDockerTypeScriptTurborepoNode.jsAI AgentsGitSidecars
View on GitHub
🤖 Flagship · AI Systems

Agent CLI

A terminal-native AI agent runtime for developers who live in the shell. Streams reasoning and tool calls in real time — file I/O, code search, patch generation, and shell execution — orchestrated through a typed agent loop with retries, sandboxing, and structured outputs.

  • 🧠Streaming reasoning + tool-call loop
  • ⚙️Typed tool registry (read, write, run, search)
  • 🔁Retries, idempotency, structured outputs
  • 🪶Zero-config — runs in any terminal
  • 🔌Pluggable model providers (OpenAI / local)
TypeScriptNode.jsAI AgentsTool UseStreamingCLI
View on GitHub
AGENT/CLI · gpt-runtime
STREAMING
tokens/s
0
latency
184ms
tools
0/4
~ generated patch
TriggerActionWebhook
Open Source

Workflow Automation Platform

A low-code automation platform inspired by Zapier. Users can create trigger-action pipelines with async execution, retries, observability, and failure recovery — all powered by Kafka and WebHooks.

  • 🔗Trigger-action pipeline builder
  • ♻️Retry + idempotency mechanisms
  • 📡Kafka + Webhook integration
  • 🔍Built-in observability
KafkaNode.jsExpress.jsPostgreSQLWebhooksDocker
Systems Design

Stock Exchange Simulation

A high-performance order matching engine modeled after the NSE (National Stock Exchange). Handles thousands of concurrent trades with low latency. Supports both market and limit orders with live order books.

  • Thousands of concurrent trades
  • 📈Market & limit order matching
  • 📊Live order book with real-time updates
  • 🚀Redis for ultra-low-latency state
Node.jsRedisKafkaWebSocketsTypeScript

// RECOGNITION

Certifications & Achievements

🎓

Full-Stack Development

Industry Expert Session Certificate

Full-Stack

🏫

Technical Volunteer

ARTH School of Technology

ARTH

💻

Active Problem Solver

LeetCode & GeeksforGeeks

Competitive Programming

// GET IN TOUCH

Let's Build Something Together