Abhi M

Full-stack Python Developer Machine Learning Engineer Ai Ml Engineer @Goldman Sachs

Designed and developed a full-stack, AI-driven trade surveillance and compliance dashboard to monitor real-time trading activities across fixed-income and equity markets. The platform supports compliance teams in detecting anomalies and potential market abuse while ensuring regulatory adherence.Designed and built scalable REST APIs using FastAPI and Python, serving as the backbone for trade data services consumed by front-end dashboards, internal tools, and risk engines.Led efforts to containerize microservices with Docker and orchestrate deployments using Kubernetes (EKS), ensuring zero-downtime rollouts and seamless scaling under high trading volumes.Automated deployment pipelines using CI/CD workflows with GitHub Actions and Terraform, reducing manual overhead and speeding up feature releases from days to hours.Leveraged AWS services like Lambda (for lightweight processing tasks), S3 (for secure data archiving), RDS/PostgreSQL (for structured data), and CloudWatch (for performance monitoring) to deliver a cloud-native, reliable system.Integrated real-time stream processing using Kafka and AWS Kinesis to handle large-scale trade event ingestion and downstream processing.Collaborated with data scientists to embed AI/ML models (built with Scikit-learn and deployed via Sage Maker endpoints directly into backend services to detect trading anomalies and risk factors on the fly.Built dynamic front-end components using React.js, allowing compliance teams to interact with complex trade data visually enabling faster decision-making with clarity.Partnered closely with DevOps and security teams to ensure our infrastructure followed best practices for governance, encryption, and access control using AWS IAM, Secrets Manager, and KMS.Played a key role in aligning technical deliverables with business needs by working directly with traders, compliance officers, and product owners in Agile sprints, balancing regulatory priorities with usability and performance.