Available for senior backend & platform roles

Haider Ali

Senior Backend Engineer

I design and build Python backend systems that stay reliable under pressure: distributed services, event-driven architectures, data pipelines, and LLM-powered features, running in production for government platforms, enterprises, and startups.

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profile

About Me

I am a Senior Backend Engineer with over six years of hands-on experience building Python and Django based backend systems, distributed services, and event-driven architectures. My focus is on API design, asynchronous processing, and data pipelines, always with reliability, clean architecture, and production readiness in mind.

At SITE (Saudi Information Technology Company) I work on a secure government correspondence platform that processes over 5,000 transactions daily, where I handle everything from role-based access control and audit logging to asynchronous workflow design with Celery and Redis.

I have delivered production systems in regulated environments handling sensitive data, approval workflows, and audit trails, and more recently I have been building LLM-powered systems: retrieval-augmented generation, embeddings with vector search, and agentic tool-calling workflows deployed on AWS.

0+ Years of Experience
0 Companies, Startup to Government
0K+ Daily Transactions on Current Platform
0%+ Detection Accuracy, AI CCTV System
experience

Work Experience

Mar 2024 – Present Current

Senior Software Engineer

SITE, Saudi Information Technology Company · Riyadh, Saudi Arabia

  • Design and maintain backend services for a secure government correspondence platform processing 5K+ daily transactions.
  • Build and optimise Django REST APIs with strict schema validation, versioning, rate limiting, and secure authentication.
  • Implemented role-based access control across multiple authorization tiers, with SOC 2 aligned audit logging and centralized aggregation via the ELK stack.
  • Developed asynchronous workflows with Celery and Redis for delivery tracking, retries, delay alerts, and background processing.
  • Integrated a secure Document Management System with versioning, encryption, and governed access to structured and unstructured data.
  • Support production operations through on-call rotations, incident troubleshooting within SLAs, and improved observability.
PythonDjango RESTCeleryRedisRBACELKSonarQube
May 2021 – Feb 2024

Software Engineer, Backend

Kavtech Solutions (Private) Ltd. · Lahore, Pakistan

  • Built backend components for a high-volume, multi-league sports data platform aggregating data from third-party APIs and web sources.
  • Designed and maintained ETL/ELT pipelines in Python for cleaning, validation, transformation, and normalization, feeding Scikit-Learn based prediction models.
  • Implemented event-driven ingestion workflows with asynchronous processing, plus Scrapy crawlers and Selenium-based data validation.
  • Migrated ingestion and processing jobs to AWS Lambda and ECS with CloudWatch monitoring, improving scalability and reducing operational overhead.
  • Containerized backend services with Docker and optimised database performance through indexing, query tuning, and caching.
PythonETLAWS LambdaECSScrapyDocker
Jul 2020 – May 2021

Python Developer

Magnetar Solutions · Lahore, Pakistan

  • Developed backend systems for land acquisition, property management, and water services platforms.
  • Implemented Flask APIs supporting parcel registration, ownership tracking, approval workflows, and regulatory compliance checks.
  • Built Pandas-based data transformation pipelines to process and normalize large property datasets.
  • Integrated RabbitMQ for asynchronous messaging and hosted services on Azure App Service with scheduled jobs on Azure Function Apps.
FlaskPandasRabbitMQAzure
Feb 2018 – Jun 2020

Junior Software Engineer

Ebiz Ltd. · Lahore, Pakistan

  • Built Django backend features for e-commerce and service-management platforms, including Shopify integration with Stripe and PayPal payment workflows.
  • Developed CRM features using flexible Entity-Attribute-Value data models.
  • Implemented WebSocket-based real-time features to support interactive user workflows.
  • Assisted with cloud deployments, debugging, and backend query optimisation.
DjangoShopifyStripeWebSockets
selected work

Selected Projects

GenAI 2025 – 2026

LLM-Powered E-commerce Assistant

Production-ready AI assistant integrated into an e-commerce platform for customer-facing and internal workflows. Built a retrieval-augmented generation pipeline grounded in product catalogs, FAQs, and operational documentation, with FAISS vector search for contextual retrieval.

  • Tool and function calling to securely trigger backend actions: order lookup, shipment tracking, inventory checks, and policy validation
  • Conversation state management across multi-turn interactions
  • Deployed on AWS with OpenRouter for LLM inference and auditable AI interactions
RAGFAISSFunction CallingAWSOpenRouter
Computer Vision 2023 – 2024

AI CCTV Violation Detection · DP World

Modular backend separating web services from AI inference to optimise infrastructure cost, with RabbitMQ messaging pipelines and multi-tier caching between modules.

  • YOLO-based PPE and zone intrusion detection at 95%+ accuracy
  • Curated live camera feed data, improving model training performance by roughly 15%
YOLORabbitMQDjangoCaching
Platform 2022 – 2023

HomeKnock Real Estate Platform

Backend services powering Agent, Seller, and Customer portals with role-based permissions, approval flows, and full listing, offer, and transaction lifecycle management.

  • Data validation and business rules keeping workflow stages consistent
  • Deployed on AWS EC2 with GitHub Actions CI/CD and operational monitoring
DjangoAWS EC2GitHub ActionsRBAC
system design

Inside a System I Built

A CV tells you what I did. This shows how I think. Below is the architecture of the LLM-powered e-commerce assistant, and the reasoning behind the key decisions.

Why RAG instead of fine-tuning?

Product catalogs and policies change daily. Retrieval keeps answers grounded in current data without retraining, and every answer can cite its source.

Why tool calling behind the API?

The model never touches the database. It requests actions like order lookup through validated, permission-checked backend functions, so the same security rules apply to AI and humans.

Why audit every interaction?

Coming from regulated government platforms, I treat AI output as a system action: logged, attributable, and reviewable when something goes wrong.

working style

How I Work

Interviews usually get here eventually: what I'm actually like to work with once the offer is signed and the tickets start moving.

Built for the bad day

I design for failure before it happens: retries, fault isolation, idempotent APIs, and monitoring. On my current platform that means 5K+ daily transactions with incidents resolved within defined SLAs.

Security isn't bolted on at the end

Years on government and enterprise systems made access control, audit trails, and data governance my default posture, not an afterthought bolted on before launch.

I optimise for the team, not my ticket count

I work in agile sprints, review code seriously (PyTest, SonarQube, CI quality gates), and have led and mentored developers. My job is making the whole team faster, not just my own tickets.

I stay on it through to production

From architecture and API design through deployment, on-call, and incident follow-up. I have owned backend projects across their full lifecycle at startups and at a national-scale IT company.

capabilities

Skills & Tech Stack

Backend & APIs

PythonDjangoDjango REST FrameworkFastAPIFlaskREST API DesignAPI VersioningMicroservices

Async & Distributed Systems

CeleryRabbitMQRedisEvent-Driven ArchitectureWebSocketsFault Tolerance & Retries

GenAI & LLM Systems

RAGEmbeddings & Vector SearchFAISSTool & Function CallingPrompt EngineeringAgentic WorkflowsContext Memory

Data & ETL

PostgreSQLMariaDBPandasNumPyETL / ELT PipelinesData ValidationApache AirflowScrapy

Cloud & DevOps

AWS (EC2, Lambda, ECS, S3, RDS)CloudWatchCDK / CloudFormationAzure App ServiceDockerKubernetesGitHub ActionsCI/CD

Security & Quality

RBACOAuth2JWTAudit LoggingSOC 2 Aligned ControlsPyTestSonarQubeCode Review
education

Education

Bachelor of Science, Computer Science

Government College University · Lahore, Pakistan

contact

Get In Touch

I am open to senior backend, platform, and GenAI engineering opportunities. Whether you have a role in mind, a project to discuss, or just want to connect, my inbox is always open.

Email haiderali136a@gmail.com LinkedIn haider-ali-232215172 GitHub haiderali136a
Location Riyadh, Saudi Arabia
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