Available for new roles · Bengaluru, India

Arun Mallikarjuna

I build the engines other people run.

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01 // About

Full stack, fewer bottlenecks

I go for the hard, structural problems — distributed microservices, clean data models, and the patterns that keep a system reliable as it grows.

Lately that means custom AI agents and the system prompts behind them: multi-step tool-calling, evals, and internal AI tooling shipped to production. I work from PRDs and real customer pain, own the architecture calls, and treat QA as part of the job.

The throughline, from a telecom promotion engine to a multi-tenant HRMS: build engines other people can configure without code — and don't call it done until it survives production.

▹ 4+ yrs production engineering
▹ 2+ yrs LLM API integration
▹ 99.5% availability at scale
▹ ~2,600 automated tests · Folkgrove
▹ Based in Bengaluru, India

01b // What I do

What I bring

AI agents & LLM features

Custom agents and the system prompts behind them — multi-step tool-calling, self-correcting planner/executor loops, structured-output guardrails, and evals. Claude & Gemini wired into core flows, not bolt-on demos.

Platform & backend architecture

Distributed microservices with clean data modeling and the patterns that keep them reliable as they scale — APIs, async jobs, caching, database-per-tenant isolation.

Configurable engines

Rule engines and no-code platforms teams configure without a redeploy — promotions, country-agnostic payroll, workflow builders. Adding a case is config, not code.

Reliability & quality

99.5% availability under volume, ~2,600 automated tests, end-to-end QA (SIT · smoke · UAT), and calm incident response across distributed services.

02 // Where I've worked

Senior Software Engineer @ Tecnotree Convergence

Jan 2024 — Present · Bengaluru, India

Architecture owner for a rule-based Promotion Engine — the team's go-to for technical calls, production reliability, and scaling.

99.5%

availability at scale

~30%

faster frontend

redeploys to launch a campaign

▹Owned architecture and design — patterns, reliability, scaling — of a rule-based Promotion Engine that lets business teams launch telecom campaigns with zero redeployment.
▹Led production incident response across distributed microservices, sustaining 99.5% availability under high transaction volume.
▹Ran end-to-end QA (SIT, smoke, UAT) and reviewed teammates' code against PRDs before release.
▹Built REST APIs, reporting dashboards, and third-party integrations aligned to clear business outcomes.
▹Improved frontend performance ~30% through optimized React rendering and state management.

// Systems check

Skill modules online

FLY THROUGH THE CALIBRATION CORRIDOR

03 // Some things I've built

Projects in orbit

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Explore the archive ↗

04 // What's next

Let's make something together.

I'm currently open to new opportunities — full-time, contract, or just a good chat. Whether you have a project idea, a question, or you just want to say hi, my inbox is the best way to reach me.

arunmallikarjun005@gmail.com →

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GitHub · LinkedIn

Initializing Launch Sequence

Arun Mallikarjuna — Full-Stack & AI Platform Engineer

Available for new roles · Bengaluru, India

I build the engines other people run — multi-tenant platforms, payroll and rule engines, and the custom AI agents wired into them. 4+ years shipping production systems end to end, 2+ years putting LLMs into core product features. I own the architecture, the reliability, and the incident response behind them.

About

I go for the hard, structural problems — distributed microservices, clean data models, and the patterns that keep a system reliable as it grows.

The throughline, from a telecom promotion engine to a multi-tenant HRMS: build engines other people can configure without code — and don't call it done until it survives production.

Based in Bengaluru, India.

Experience

Senior Software Engineer — Tecnotree Convergence

Jan 2024 — Present · Bengaluru, India

Architecture owner for a rule-based Promotion Engine — the team's go-to for technical calls, production reliability, and scaling.

Owned architecture and design — patterns, reliability, scaling — of a rule-based Promotion Engine that lets business teams launch telecom campaigns with zero redeployment.
Led production incident response across distributed microservices, sustaining 99.5% availability under high transaction volume.
Ran end-to-end QA (SIT, smoke, UAT) and reviewed teammates' code against PRDs before release.
Built REST APIs, reporting dashboards, and third-party integrations aligned to clear business outcomes.
Improved frontend performance ~30% through optimized React rendering and state management.

Software Engineer — Tecnotree Convergence

Oct 2021 — Dec 2023 · Bengaluru, India

Backend feature delivery on a high-volume microservices platform — APIs, performance, and self-serve workflows.

Built scalable, high-performance Node.js REST APIs for high-volume transaction processing, using async concurrency to keep latency low under load.
Contributed to the microservices architecture, improving end-to-end throughput and reliability.
Translated a real customer problem into a shipped feature — configurable self-serve workflows for non-technical teams — cutting turnaround time.
Optimized rule-evaluation logic to reduce per-request latency.

Projects

Folkgrove — Multi-Tenant HRMS

2025 · Flagship — A payroll & HR engine you configure without code

A multi-tenant HRMS with database-per-tenant isolation across a 4-app Turborepo — HR, payroll, leave, performance, and analytics — built engine-first so admins extend it without engineering.

Built with: TypeScript, Next.js 15, NestJS, Prisma, MySQL, Redis/BullMQ, Cerbos, Turborepo.

Tailorwright — AI Agent Platform

Open source · AI agents — One agent core, four forms

Custom AI agents and the system prompts behind them, shipped from one shared core in four forms — web app, Claude Code skill, subagent, and CLI.

Built with: Claude API, Next.js, TypeScript, Node.js.

Free Resume Pro

AI SaaS — ATS scoring, zero storage

A résumé tool built around the Gemini API, owned end-to-end solo and scaled on Vercel.

Built with: Next.js, React, Node.js, Gemini API, Vercel.

Promotion Manager System

Platform — Telecom campaigns with zero redeploys

A scalable promotion-management system on a microservices backend with a real-time rule engine.

Built with: Node.js, React, Microservices, REST APIs.

Algorithm Visualizer

Learning in public — Big-O you can watch

Interactive, step-by-step visualizations of core algorithms and data structures.

Built with: JavaScript, React.

Skills

AI & Agents: LLM Integration · Custom Agents · System Prompts · Tool-Calling · Evals · RAG · Claude · Gemini

Languages & Frontend: TypeScript · JavaScript · Python · React · Next.js · React Native · Tailwind

Backend & APIs: Node.js · NestJS · Express · REST · Prisma · BullMQ · Django · Flask

Data & Infra: PostgreSQL · MySQL · MongoDB · DynamoDB · Redis · Docker · AWS · GCP · CI/CD

Architecture & CS: Microservices · Distributed Systems · System Design · Multi-Tenant · Design Patterns · DSA

Auth · Security · QA: JWT · Cerbos RBAC · Firebase · Clerk · VAPT · SIT/Smoke/UAT · Automated Testing

Arun MallikarjunaArun Mallikarjuna