Open to Remote Engineering Roles

Senior Applied AI & Backend Engineer

I build production LLM systems, RAG pipelines, voice AI applications, and reliable backend services using Node.js, TypeScript, Python, Java, and AWS.

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Muhammad Din Profile Picture
Muhammad Din Applied AI & Backend Engineering
6+ Years Software Engineering
3 Products Built Independently
2019 Coding Since
3 Countries Remote Delivery
35% Lower LLM Inference Cost
40% Faster RAG Retrieval
About Me

Systematic Engineering Approach

I completed my degree in Computer System Engineering in December 2022. I began taking task-based freelance work in 2019 and moved into formal software contracts in 2021.

My foundation is backend and full-stack engineering: APIs, distributed services, relational and NoSQL data, Apache Kafka, AWS, Docker, CI/CD, testing, and production support.

Today I apply that foundation to LLM systems, RAG, agent workflows, and voice AI using OpenAI and Claude APIs, LangChain/LangGraph, Pinecone, ChromaDB, Together AI, Deepgram, and open-source Hugging Face models.

Expertise

Core Engineering Strengths

Production software engineering across applied AI, backend systems, cloud delivery, and automation.

Conversational Voice Agents

Real-time voice workflows using Deepgram and OpenAI speech models, plus Vapi and Retell integrations, tool-calling, webhooks, barge-in handling, and production observability.

Backend & Distributed Systems

Reliable APIs and services using Node.js, TypeScript, Python, Java/Spring Boot, Kafka, PostgreSQL, MongoDB, authentication, retries, idempotency, testing, and monitoring.

Cloud Delivery & Automation

AWS services, Docker, GitHub Actions and Jenkins CI/CD, production monitoring, plus n8n, Make, Zapier, and secure webhook integrations when workflow automation is the right fit.

LLM, RAG & Evaluation

Retrieval pipelines with Pinecone, ChromaDB and pgvector; model routing with LiteLLM; structured outputs, prompt caching, evaluation harnesses, and regression gates for cost, quality, and latency.

Journey

Professional Timeline

Founder & Lead Engineer

TestKaro.net
Apr 2026 - Present

Built a mobile-first React/Vite assessment platform with timed mock tests, adaptive practice flows, and a question bank of more than 2,000 items.

Senior Backend Engineer

StoriedLife (Canada - Remote)
Dec 2022 - Mar 2026

Led backend delivery for a production SaaS platform and a three-engineer team. Built REST APIs, AWS services, secured authentication, document and audio pipelines, and production LLM/RAG integrations with evaluation gates.

Senior Full-Stack & Backend Engineer

Fastech Systems
Mar 2022 - Nov 2022

Built Java, Python, and Node.js microservices with Kafka pipelines, retries and circuit breakers; deployed services on AWS with Docker, CI/CD, and production monitoring.

Java Backend Developer — Client Project (via Fastech Systems)

Impros.io (China - Remote)
Jan 2022 - Feb 2023

Part-time, on-demand client engagement staffed through Fastech Systems. Designed backend services, role-based APIs, integrations, and a Jenkins/Docker delivery pipeline.

Full-Stack & API Developer

Fiverr / Independent (Remote)
Aug 2019 - Dec 2021

Delivered task-based web, API, automation, and cloud projects directly for clients, building the practical foundation for later formal engineering contracts.

Portfolio

Delivered Projects

Independent Product · May 2026

AgentStack Calc

An interactive cost comparison simulator evaluating monthly speech AI, API token configurations, and self-hosted n8n workflows vs Zapier/Make. Hosted on agentstackcalc.com.

Visit Platform | Case Study
Chrome Extension · Jul 2026

BidIQ Companion

An Upwork bidding companion delivering client payment verification checkups, average pay rates, and AI cover letter drafting. Designed inside custom Shadow DOM containment.

Chrome Web Store | Case Study
AI Voice Engine

StackVoice TTS Engine

A high-fidelity speech synthesis pipeline using neural Kokoro-82M ONNX containerized models, achieving sub-220ms latencies on single-core CPU environments.

Try Playground | Case Study
Assessment Platform · Apr 2026

TestKaro.net

A mobile-first React/Vite platform for timed mock tests and adaptive practice, backed by a 2,000+ question bank for learners in Pakistan.

Visit Platform
Evidence

Selected Engineering Outcomes

35%

Lower inference cost

Introduced multi-provider routing and prompt caching with LiteLLM, backed by automated evaluation and regression checks.

40%

Lower retrieval latency

Optimized a production RAG pipeline using Pinecone and Google RAG APIs while measuring quality, latency, and cost before release.

<220ms

Local TTS synthesis

Built a containerized Kokoro-82M ONNX speech pipeline designed for efficient CPU inference and direct audio streaming.

FAQ

Frequent Questions

What opportunities are you considering?

I am open to remote Applied AI, LLM systems, backend, and full-stack product engineering roles, as well as focused contract work in the same areas.

Are you an AI researcher or a production engineer?

My profile is engineering-first. I build and operate software around models: retrieval, evaluation, APIs, voice workflows, automation, CI/CD, cloud deployment, monitoring, and production reliability.

What is your strongest technical foundation?

Backend systems: Node.js/TypeScript, Python, Java/Spring Boot, APIs, databases, Kafka, AWS, Docker, testing, CI/CD, and production troubleshooting. Applied AI extends that foundation rather than replacing it.

Get In Touch

Let’s Discuss the Right Opportunity

Hiring for Applied AI, LLM systems, backend, or product engineering? I’m open to remote roles and focused technical collaborations where production ownership matters.

Email Me Directly Connect on LinkedIn
Primary contact: mdin.engineer19@gmail.com