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Aamer Hussain

@aamerhussain2

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Full Stack Engineer with 8+ years building scalable, AI-driven cloud apps.

United Kingdom

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What I'm looking for

I’m looking for a team where I can build scalable full-stack systems and AI features—owning secure APIs, event-driven backends, and cloud-native performance improvements, while refining frontend experiences in a collaborative, data-driven environment.

I’m a Full Stack Engineer with 8+ years designing, developing, and optimizing scalable software solutions across healthcare, retail, and data integration. I focus on secure, high-performance backend systems while delivering strong user-facing experiences.

In my recent role, I built full-stack applications using FastAPI, Django, and React.js, and engineered REST APIs and microservices integrating 5+ external platforms. I’ve implemented serverless workflows and role-based access controls, and I’m recognized as a top performer with multiple Employee of the Month awards.

I also lead AI-driven features—integrating Azure OpenAI, LangChain, and RAG pipelines to search and analyze enterprise documents, and deploying ML/computer vision solutions with TensorFlow, Keras, and OpenCV. I’m energized by event-driven architectures, reliable third-party integrations, and continuously improving scalability and resilience.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Engineer

Current

MicroDevSolutions

May 2022 - Present (4 years 1 month)

Developed scalable full-stack healthcare and retail applications using FastAPI, Django, React.js, and AWS to streamline business-critical workflows. Built secure REST APIs and microservices integrating 5+ external platforms, automated serverless ingestion/notifications, and implemented Azure OpenAI + LangChain RAG search over 100+ enterprise documents.

fastAPI Django React REST APIs AWS Lambda DynamoDB Elasticsearch Azure OpenAI Lang Chain RAG

Software Engineer

OdysseyAnalytics

Feb 2021 - Apr 2022 (1 year 2 months)

Built scalable data-processing applications using Python, AWS, and Apache Airflow to support energy-sector analytics. Integrated 5+ AWS services, orchestrated ingestion for 3+ data formats, and implemented real-time pipelines with Kafka/Kinesis/SQS/SNS for improved scalability and fault tolerance.

Python AWS Lambda Apache Airflow Redshift DynamoDB Kafka Amazon Kinesis SQS SNS Snowflake

Python Developer

NixenseVixion

Mar 2017 - Jan 2021 (3 years 10 months)

Developed AI-powered computer vision applications using Flask and FastAPI to expose deep learning models via backend APIs. Deployed TensorFlow/Keras models with RabbitMQ for asynchronous processing, improved inference performance, and applied OpenCV-based classification and object detection for retail and transportation use cases.