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Hi, I’m Amir Ali Syed, a Machine Learning Engineer with over 10 years of experience designing and deploying ML and backend solutions across fintech, healthcare, and enterprise domains. I specialize in building NLP pipelines, multi-agent AI systems, and real-time predictive models with a focus on scalable, secure, and high-performance applications. I’ve led end-to-end projects from data integration and model experimentation to production-grade deployments on cloud infrastructure. I enjoy translating complex data problems into actionable business insights and collaborating with cross-functional teams to deliver enterprise-ready AI solutions.…Hi, I’m Amir Ali Syed, a Machine Learning Engineer with over 10 years of experience designing and deploying ML and backend solutions across fintech, healthcare, and enterprise domains. I specialize in building NLP pipelines, multi-agent AI systems, and real-time predictive models with a focus on scalable, secure, and high-performance applications. I’ve led end-to-end projects from data integration and model experimentation to production-grade deployments on cloud infrastructure. I enjoy translating complex data problems into actionable business insights and collaborating with cross-functional teams to deliver enterprise-ready AI solutions.

Amir Ali Syed

AI Engineer, Data Scientist, Back-End Developer, +4

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Hi, I’m Amir Ali Syed, a Machine Learning Engineer with over 10 years of experience designing and deploying ML and backend solutions across fintech, healthcare, and enterprise domains. I specialize in building NLP pipelines, multi-agent AI systems, and real-time predictive models with a focus on scalable, secure, and high-performance applications. I’ve led end-to-end projects from data integration and model experimentation to production-grade deployments on cloud infrastructure. I enjoy translating complex data problems into actionable business insights and collaborating with cross-functional teams to deliver enterprise-ready AI solutions.…Hi, I’m Amir Ali Syed, a Machine Learning Engineer with over 10 years of experience designing and deploying ML and backend solutions across fintech, healthcare, and enterprise domains. I specialize in building NLP pipelines, multi-agent AI systems, and real-time predictive models with a focus on scalable, secure, and high-performance applications. I’ve led end-to-end projects from data integration and model experimentation to production-grade deployments on cloud infrastructure. I enjoy translating complex data problems into actionable business insights and collaborating with cross-functional teams to deliver enterprise-ready AI solutions.

Available to hire

Hi, I’m Amir Ali Syed, a Machine Learning Engineer with over 10 years of experience designing and deploying ML and backend solutions across fintech, healthcare, and enterprise domains. I specialize in building NLP pipelines, multi-agent AI systems, and real-time predictive models with a focus on scalable, secure, and high-performance applications.

I’ve led end-to-end projects from data integration and model experimentation to production-grade deployments on cloud infrastructure. I enjoy translating complex data problems into actionable business insights and collaborating with cross-functional teams to deliver enterprise-ready AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Machine Learning Engineer at Capgemini

September 1, 2025 - September 1, 2025

Developed real-time ML models using scikit-learn and PySpark to analyze transactions for fraud detection; integrated NLP into chatbots to improve customer support; deployed OpenAI GPT models for Generative AI-driven customer assistance; implemented Retrieval-Augmented Generation (RAG) models; orchestrated LLM workflows with LangChain and LlamaIndex; stored embeddings in VectorDB for fast similarity search; leveraged AWS Lambda for event-driven, scalable functions; used Pandas, NumPy and TensorFlow for data processing and predictive analytics; designed a microservices architecture with Docker and Kubernetes and integrated the ELK stack for centralized logging and monitoring across services.

Senior Python Developer at TogetherWork

February 1, 2020 - February 1, 2020

Led backend development for Overstock project, building secure Django web applications and DRF-based REST APIs for account management and transactions; implemented CI/CD with GitHub Actions; used PostgreSQL for transactional data; built lightweight Flask microservices; integrated Kafka for real-time streaming; performed data analysis with NumPy/Pandas; implemented real-time search and monitoring with Elasticsearch/Logstash/Kibana; leveraged AWS Lambda, RDS, S3, and Athena for serverless/offline workflows; containerized components with Docker and orchestrated with Kubernetes.

Python Developer at Exella

September 1, 2016 - September 1, 2016

Developed healthcare applications with Django REST Framework; managed patient records and appointments in PostgreSQL; integrated Apache Kafka for real-time data streaming; built lightweight Flask microservices for appointment management and data queries; used NumPy/Pandas for data analysis and reporting; wrote tests with PyTest and automated end-to-end tests with Selenium; deployed on AWS (EC2, RDS, S3) with Docker/Kubernetes for scalability; ensured HIPAA-compliant security and implemented ELK-based monitoring; built real-time data features using Django Channels.

Machine Learning Engineer at Hexagon

September 1, 2025 - September 1, 2025

Developed ML models using scikit-learn and PySpark to analyze real-time transaction data for fraud detection. Integrated NLP into chatbots to improve customer support. Deployed GPT models for Generative AI-driven customer assistants handling complex queries and automating repetitive tasks. Implemented RAG models combining LLM responses with customer data for tailored financial advice. Integrated LangChain and LlamaIndex to streamline LLM workflows and access structured data. Used VectorDB for embedding storage and fast similarity search to enhance fraud detection and recommendations. Leveraged AWS Lambda for serverless triggers; used Pandas, NumPy, and TensorFlow for data processing and analytics. Designed a microservices architecture with Docker and Kubernetes; integrated the ELK stack for centralized logging and monitoring.

Senior Python Developer at Perficient

February 1, 2020 - February 1, 2020

Backend development for banking features using Python with Django and Django REST Framework (DRF). Built secure, scalable web applications and RESTful APIs for account management and transactions. Implemented real-time data streaming with Apache Kafka; developed lightweight Flask microservices for specialized data processing. Analyzed data with NumPy and Pandas to generate financial analytics. Implemented Elasticsearch, Logstash, and Kibana (ELK) for monitoring. Leveraged AWS services (Lambda, RDS, S3, Athena) for serverless computing and scalable storage. Containerized components with Docker and orchestrated with Kubernetes. Worked on Overstock project delivering robust backend functionality and integration with front-end systems.

Python Developer at Exela Technologies

September 1, 2016 - September 1, 2016

Healthcare application development with Django REST Framework; managed patient records and appointments using PostgreSQL. Integrated Apache Kafka for real-time data streaming and used Flask for lightweight microservices. Performed data analysis with NumPy and Pandas; conducted backend testing with PyTest and automated end-to-end testing with Selenium. Deployed on AWS (EC2, RDS, S3) with Docker and Kubernetes for scalable deployment. Implemented HIPAA-compliant security and used the ELK stack for monitoring.

Machine Learning Engineer at Hexagon

March 1, 2020 - December 1, 2025

Led end-to-end ML and Generative AI workflows to evaluate and serve enterprise-tailored LLMs; integrated llama.cpp and Hugging Face Transformers for experimentation, inference, and benchmarking on structured and unstructured datasets; built model deployment pipelines using llama-serve for reproducible, versioned serving with optimized inference latency. Architected relational (PostgreSQL) and vector database storage (VectorDBs) for embeddings, metadata, and training datasets; enabled fast similarity search and personalized LLM outputs. Implemented RBAC with SpiceDB for secure multi-tenant access to models and datasets. Containerized services with Docker and deployed on Kubernetes (EKS/ECS); used Terraform and Helm for IaC. Managed AWS infrastructure (ECR, S3, RDS, EFS) for high-performance storage and scalable compute. Configured CI/CD with GitHub Actions and ArgoCD for automated deployment, updates, and rollbacks. Implemented Prometheus/Grafana monitoring and Cloudflare CDN for real-t

Senior Python Developer at Metability LLC

October 1, 2016 - February 1, 2020

Developed backend services in Python using Django and DRF to support secure web applications; designed and optimized data pipelines with PostgreSQL/MySQL; built ETL workflows with Pandas; deployed on AWS (EC2, S3, RDS, Lambda, Athena, etc.); containerized with Docker and orchestrated with Kubernetes; integrated Kafka for real-time data streaming; utilized Elasticsearch, Logstash, Kibana for analytics and observability; implemented CI/CD with GitHub Actions.

Python Developer at Capital One

January 1, 2015 - September 1, 2016

Built and maintained backend services in Python, developing RESTful APIs with Flask; designed and optimized data pipelines using SQLAlchemy with PostgreSQL and MySQL; developed ETL workflows with Pandas; deployed on AWS (EC2, S3, RDS); containerized with Docker and orchestrated with Kubernetes; integrated Kafka for real-time data streaming; performed data analysis with NumPy and Pandas; used Elasticsearch, Logstash, Kibana for real-time search and monitoring; implemented unit/integration tests with PyTest; automated CI/CD with GitHub Actions; leveraged AWS Lambda, Athena for serverless and large dataset querying.