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I am a Senior Machine Learning Engineer with over 9 years of experience in designing scalable AI solutions across diverse industries. Proficient in Python, ML, MLOps, Generative AI, and Large Language Models, I specialize in developing innovative systems for fraud detection, real-time analytics, and personalized user experiences. I excel at building secure, compliant, and efficient ML pipelines leveraging modern tools like AWS, LangChain, and Docker to drive impactful business outcomes with precision and reliability. Throughout my career, I have worked on cutting-edge AI platforms including corporate spend management, mental wellness chatbots, healthcare predictive analytics, and fraud prevention systems. I am passionate about creating intelligent, adaptable AI solutions that empower smarter decision-making and improve operational efficiencies while ensuring seamless deployment and monitoring in production environments.…I am a Senior Machine Learning Engineer with over 9 years of experience in designing scalable AI solutions across diverse industries. Proficient in Python, ML, MLOps, Generative AI, and Large Language Models, I specialize in developing innovative systems for fraud detection, real-time analytics, and personalized user experiences. I excel at building secure, compliant, and efficient ML pipelines leveraging modern tools like AWS, LangChain, and Docker to drive impactful business outcomes with precision and reliability. Throughout my career, I have worked on cutting-edge AI platforms including corporate spend management, mental wellness chatbots, healthcare predictive analytics, and fraud prevention systems. I am passionate about creating intelligent, adaptable AI solutions that empower smarter decision-making and improve operational efficiencies while ensuring seamless deployment and monitoring in production environments.

Syed Danyel Haider

AI Engineer, Developer, Data Scientist, +2

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I am a Senior Machine Learning Engineer with over 9 years of experience in designing scalable AI solutions across diverse industries. Proficient in Python, ML, MLOps, Generative AI, and Large Language Models, I specialize in developing innovative systems for fraud detection, real-time analytics, and personalized user experiences. I excel at building secure, compliant, and efficient ML pipelines leveraging modern tools like AWS, LangChain, and Docker to drive impactful business outcomes with precision and reliability. Throughout my career, I have worked on cutting-edge AI platforms including corporate spend management, mental wellness chatbots, healthcare predictive analytics, and fraud prevention systems. I am passionate about creating intelligent, adaptable AI solutions that empower smarter decision-making and improve operational efficiencies while ensuring seamless deployment and monitoring in production environments.…I am a Senior Machine Learning Engineer with over 9 years of experience in designing scalable AI solutions across diverse industries. Proficient in Python, ML, MLOps, Generative AI, and Large Language Models, I specialize in developing innovative systems for fraud detection, real-time analytics, and personalized user experiences. I excel at building secure, compliant, and efficient ML pipelines leveraging modern tools like AWS, LangChain, and Docker to drive impactful business outcomes with precision and reliability. Throughout my career, I have worked on cutting-edge AI platforms including corporate spend management, mental wellness chatbots, healthcare predictive analytics, and fraud prevention systems. I am passionate about creating intelligent, adaptable AI solutions that empower smarter decision-making and improve operational efficiencies while ensuring seamless deployment and monitoring in production environments.

Available to hire

I am a Senior Machine Learning Engineer with over 9 years of experience in designing scalable AI solutions across diverse industries. Proficient in Python, ML, MLOps, Generative AI, and Large Language Models, I specialize in developing innovative systems for fraud detection, real-time analytics, and personalized user experiences. I excel at building secure, compliant, and efficient ML pipelines leveraging modern tools like AWS, LangChain, and Docker to drive impactful business outcomes with precision and reliability.

Throughout my career, I have worked on cutting-edge AI platforms including corporate spend management, mental wellness chatbots, healthcare predictive analytics, and fraud prevention systems. I am passionate about creating intelligent, adaptable AI solutions that empower smarter decision-making and improve operational efficiencies while ensuring seamless deployment and monitoring in production environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Machine Learning Engineer at Excella

August 1, 2025 - August 5, 2025

Led projects developing AI-powered spend management and mental wellness platforms, leveraging Python, TensorFlow, PyTorch, LangChain, and AWS to build scalable machine learning models, fraud detection systems, and generative AI pipelines. Delivered solutions that enhanced real-time financial tracking, personalized user experiences, and compliance enforcement, while implementing CI/CD pipelines, containerization with Docker, and orchestration with Kubernetes to ensure reliable production environments.

Machine Learning Engineer at WeDo Technologies

January 1, 2021 - August 5, 2025

Developed predictive models and real-time data streaming pipelines for healthcare and fraud detection applications, improving risk management and reducing costs. Utilized scikit-learn, XGBoost, Apache Kafka, and AWS SageMaker for model training and deployment. Ensured HIPAA compliance through robust encryption and data governance. Implemented automated CI/CD workflows, containerized environments with Docker, and Kubernetes orchestration for high availability and scalability.

Python Developer at Capital One

April 1, 2018 - August 5, 2025

Designed and developed scalable RESTful APIs using Django, optimized ETL pipelines for large datasets, and managed cloud infrastructure using AWS services such as EC2, S3, and RDS. Developed secure middleware for payment data processing adhering to PCI-DSS standards. Enhanced database performance with PostgreSQL optimizations and implemented test-driven development practices using Pytest and Django testing frameworks. Automated deployment processes with Jenkins, ensuring efficient CI/CD pipelines.

Senior Machine Learning Engineer at Excella

February 1, 2021 - Present

Led the development of AI-powered spend management platform features including ML models for automatic transaction categorization, generative AI financial summaries, and ML-based fraud detection systems using AWS serverless architecture. Integrated LangChain and LlamaIndex to build personalized financial insights and dynamic knowledge graphs. Implemented robust CI/CD pipelines with GitHub Actions and containerized workflows using Docker for seamless deployment. Developed scalable, low-latency pipelines processing high-volume transaction data with AWS Lambda and Step Functions. Leveraged LLMs to enforce compliance policies in real-time expense approvals with precision.

Senior Machine Learning Engineer at Excella

February 1, 2021 - Present

Designed empathetic transformer-based conversational AI for mental wellness, including fine-tuned GPT-3/4 models and Retrieval-Augmented Generation pipelines integrating FAISS and LangChain. Built emotion and sentiment classification models dynamically adapting chatbot responses for meaningful interactions. Automated scalable data preprocessing pipelines with Pandas, PySpark, and scikit-learn. Orchestrated AI microservices with Kubernetes, ensuring fault-tolerant, auto-scaling deployments. Managed AWS cloud infrastructure via Terraform and deployed monitoring solutions using ELK stack for continuous chatbot performance improvement.

Machine Learning Engineer at WeDo Technologies

January 31, 2021 - August 20, 2025

Developed predictive models using scikit-learn and XGBoost to identify high-risk patients for hospital admission and ER visits, improving population health outcomes. Engineered features from EHR and claims data, architected Kafka-based data streaming pipelines for real-time updates, and deployed ML models using Amazon SageMaker with HIPAA compliance. Integrated SHAP for model interpretability and managed healthcare data securely on AWS services. Automated retraining workflows with CI/CD pipelines and containerized deployments using Docker and Kubernetes.

Machine Learning Engineer at WeDo Technologies

January 31, 2021 - August 20, 2025

Developed and optimized machine learning models using scikit-learn and TensorFlow for real-time payment fraud detection, reducing false positives and improving accuracy. Designed scalable ML pipelines with Apache Spark, incorporated collective intelligence from multiple data sources, and built API-driven fraud detection systems using Flask. Managed transaction data with MongoDB and SQL Server and deployed scalable cloud infrastructure on AWS EC2. Automated end-to-end ML workflows using GitHub Actions and deployed containerized fraud detection models with Docker and Kubernetes.

Python Developer at Capital One

April 30, 2018 - August 20, 2025

Designed and developed scalable RESTful APIs using Django enabling seamless backend integration with customer-facing applications. Built and optimized ETL pipelines for large data processing ensuring quality and reliability for analytics and reporting. Leveraged AWS services including EC2, S3, and RDS for hosting applications and managing databases. Developed secure Python middleware adhering to PCI-DSS standards and implemented application monitoring with AWS CloudWatch for high availability and quick issue resolution. Improved database design and query optimization in PostgreSQL and followed test-driven development practices.