AI ENGINEER · BACKEND ARCHITECT · FULL-STACK DEVELOPER

I engineer
intelligent systems.

AI products, backend platforms, automation and infrastructure built for production — from document intelligence and agentic workflows to scalable APIs and SaaS systems.

SYSTEM / MESUM.AI● ONLINE
AIENGINE
LLMRAGAPIDATA
INPUTREASONEXECUTEOUTPUT
5+years building software
100K+PDFs processed in production
800+employees supported by HR software
MULTI-COUNTRYhealthcare data infrastructure

Selected production impact — numbers are tied to specific systems below.

Selected figures from production systems and products I've worked on — not vanity metrics.

01 / SELECTED WORK

Systems built for real problems.

Not demos for the sake of demos. Products, platforms and experiments where engineering meets practical outcomes.

02
AGENTS · CREWAI

Multi-Agent Content Generation

A CrewAI-based multi-agent workflow where specialized agents collaborate to turn a content brief into an orchestrated generation pipeline.

CrewAIPythonLLM Agents
03
AI PRODUCT

AI Study Coach

An AI-focused learning product built around the BestGradez platform — bringing intelligent assistance into a real user-facing education product.

AIPythonWeb Platform
04
DEEP LEARNING · COMPUTER VISION

Parkinson Disease Classifier

A CNN-based research project for classifying Parkinson disease stages, demonstrating hands-on work with deep learning and computer vision.

PythonCNNDeep Learning
05
HEALTHCARE · DATA INFRASTRUCTURE · MULTI-COUNTRY

Multi-Country TB Control & Research Platform

A distributed healthcare platform for a TB control program. Data is synchronized from servers across multiple countries, processed into records for analysis, and used by research institutes to study patterns. This is deliberately presented as data infrastructure — not as an AI project.

COUNTRY SERVERSSYNCPROCESSRESEARCH

02 / CAPABILITIES

From model to production.

01

AI & LLM Systems

LLM integrations, intelligent document workflows, AI automation, agentic workflows and RAG-oriented systems.

LangChain · OpenAI API · Ollama · CrewAI
02

Backend Engineering

Robust APIs and business systems designed around maintainability, scale and clean architecture.

Python · FastAPI · Django · Flask · NestJS · Laravel
03

Full-Stack Products

End-to-end product development from backend services to responsive application interfaces.

React · Next.js · TypeScript · JavaScript
04

Cloud & DevOps

Containerized deployments, CI/CD, servers and infrastructure that keep production systems moving.

AWS · Azure · Docker · Kubernetes · GitHub Actions · Jenkins
PythonTypeScriptJavaScriptPHPPostgreSQLMySQLMongoDBDynamoDBRabbitMQBullMQDockerKubernetesGitAWSAzureDigitalOceanLinode

02.5 / ENGINEERING MINDSET

AI is only useful when the system around it works.

I care about the full path from input to reliable output: data, orchestration, APIs, validation, observability and deployment.

01INPUTDocuments · prompts · data
02CONTEXTRetrieval · parsing · state
03REASONModels · agents · rules
04EXECUTEAPIs · queues · tools
05VERIFYValidation · output · delivery

03 / EXPERIENCE

Engineering with ownership.

DEC 2022 — PRESENT

Executive Developer & DevOps Expert @ Bikter Tech

  • Built AI document-processing systems handling 100K+ PDFs in production.
  • Led developers across SaaS, AI tools, dashboards and business applications.
  • Designed backend APIs and automation workflows for production systems.
  • Managed Docker, servers and CI/CD while contributing to testing, documentation and knowledge transfer.
MAR — AUG 2023

Platform Engineer / Co-founder @ Root-E, Sweden

Worked on a blockchain clean-energy platform and data infrastructure connecting solar-plant data across countries.

OCT — DEC 2022

Full-Stack Developer @ Esquall Technology

Delivered full-stack application work across backend services and web interfaces.

AUG 2021 — OCT 2022

Backend Developer @ Twenty Four Seven Consultancy

Built an HR portal supporting 800+ employees, and handled Linux-based deployment and backend engineering.

04 / AI LAB

Think in systems.

Interactive snapshots of how I approach intelligent software: inputs become context, agents reason over tasks, tools execute work, and systems return useful outputs.

MESUM_AI / ORCHESTRATORSIMULATION
01INPUTdocument / prompt
02CLASSIFYroute the task
03RETRIEVEcontext / RAG
04REASONmodel / agent
05EXECUTEtools / APIs
06VERIFYvalidate output

READY · awaiting execution

05 / EDUCATION & CERTIFICATIONS

Curiosity backed by craft.

BS Computer ScienceArid Agriculture University · 2018–2022
Docker ExpertCertificate
Python and BlockchainCertificate
Full-Stack DevelopmentCertificate

06 / CONTACT

Have a hard problem?
Let's engineer it.

Available for AI engineering, backend architecture, automation, SaaS products and technically demanding builds.