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Open to work

Abhimanyu Muraleedharan

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Python Backend Engineer with 2+ years designing scalable, cloud-native backend systems on Microsoft Azure. Expertise in FastAPI, Flask, RESTful APIs, Docker, CI/CD, and microservices architecture.

Code on a dark monitor screen

About

2+ Years Experience
Cloud-Native Backend
Belfast, UK

Python Backend Engineer with 2+ years of experience designing and deploying scalable, cloud-native backend systems on Microsoft Azure. Led modernization of a 27-year legacy enterprise system into a unified platform supporting operations across 140+ countries.

Strong expertise in FastAPI, Flask, RESTful APIs, relational databases, CI/CD pipelines, containerization (Docker), and microservices architecture. Experienced in building high-performance transactional systems, workflow automation platforms, and AI-powered IoT applications.

I thrive in Agile environments, collaborating with cross-functional teams of managers, operators, and end-users to deliver scalable, production-ready software that solves real business problems.

Code on a dark monitor screen

Experience

Agile Developer

Randox Laboratories, UK

2023 -- Present
Led backend development of SOP -- End-to-End Operations Platform replacing 7 legacy systems with a unified enterprise solution
Designed scalable cloud-native backend services supporting high-volume workflows across 140+ countries
Integrated UPS, FedEx, and DHL APIs for automated shipment processing and tracking
Built real-time KPI dashboards for operational and sales monitoring
Implemented CI/CD pipelines, Docker containerization, and deployed services on Microsoft Azure
Integrated warehouse hardware including barcode scanners and label printers
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Projects

Enterprise-grade applications built to solve real business problems, each deployed and used in production environments.

Replaced 7 legacy systems

SOP -- End-to-End Operations Platform

Enterprise system modernization project replacing seven legacy tools. Built using Python (Flask), React, SQL, and Azure. Handled transactional workflows, multi-region operations, third-party shipping integrations, and warehouse automation.

  • Designed scalable cloud-native backend services supporting high-volume workflows across 140+ countries
  • Integrated UPS, FedEx, and DHL APIs for automated shipment processing and tracking
  • Built real-time KPI dashboards for operational and sales monitoring
  • Implemented CI/CD pipelines, Docker containerization, and deployed services on Microsoft Azure
  • Integrated warehouse hardware including barcode scanners and label printers
PythonFlaskReactSQLAzureDockerCI/CD
Cross-department adoption

Travel & Expenses Management System

Centralized workflow platform for travel and expense approvals with role-based access control. Integrated Skyscanner API for travel rate estimation and improved compliance transparency.

  • Integrated Skyscanner API for country-specific travel rate estimation
  • Implemented role-based access control for employees, managers, and finance teams
  • Supported domestic, international, and road-trip travel booking
  • Centralized travel planning and approval into a single platform
PythonFlaskReactSQLSkyscanner API
Live Production Deployment

Retail Management & Analytics Platform

Full-stack transactional retail management system digitizing day-to-day operations of a physical retail store. Manages inventory, sales, suppliers, customers, employee workflows, and analytics in a live production environment.

  • Designed RESTful backend services using Flask with PostgreSQL optimized indexing and query tuning
  • Implemented Redis caching for inventory and analytics queries, reducing API response times
  • Built RBAC for admin, cashier, and staff roles with POS barcode scanner integration
  • Designed background workflows for automated notifications, reporting, and scheduled tasks
  • Containerized with Docker, deployed in Kubernetes with CI/CD pipelines
  • Built KPI dashboards for sales tracking, worker performance, attendance, and revenue trends
PythonFlaskPostgreSQLRedisDockerKubernetesReactNext.js
AI-powered IoT

Domestic Violence Detection System (ML + IoT)

AI-powered real-time domestic violence detection system using Raspberry Pi and audio processing. Deployed edge-based inference with automated emergency alerts.

  • Implemented MFCC feature extraction for audio processing
  • Trained ANN models using TensorFlow/Keras for real-time detection
  • Deployed edge-based inference on Raspberry Pi with automated emergency alerts via SMTP and Twilio APIs
  • Built secure web dashboard for case tracking and monitoring
PythonTensorFlowKerasRaspberry PiMQTTTwilio
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Skills

Programming

Python (3.x)SQLJavaScript

Backend

FlaskFastAPIREST APIsMicroservices ArchitectureBackground Task Processing

Databases

PostgreSQL (Schema Design, Indexing, Query Optimization)Redis (Caching)SQL Server

Cloud & DevOps

DockerKubernetesCI/CD PipelinesAzure

Distributed & System Concepts

Transactional SystemsAsynchronous ProcessingCaching StrategiesRole-Based Access Control (RBAC)

Frontend

ReactNext.jsHTMLCSS
Server room

Education & Certifications

Education

MSc in Internet of Things

2021 -- 2022

Ulster University, Jordanstown

KPMG Data Engineering Assured Skills Academy

2022 -- 2023

Belfast Metropolitan College

B.Tech in Electronics and Communication

2017 -- 2020

Providence College of Engineering, Kerala

Certifications

Microsoft Certified: Azure Data Engineer Associate (DP-203)

Microsoft Azure Fundamentals (AZ-900)

Achievements

Winner -- EY Hackathon Challenge 2023 (Queen's University Belfast & EY)

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Contact

I'm currently looking for new opportunities. Whether you have a question or just want to say hello, feel free to reach out.

GitHub

View my code and contributions

LinkedIn

Connect with me professionally

Email

abhimanyu9551@gmail.com

Phone

+44 7888 747644