Open to opportunities

adama sylla

@adamasylla1

Message

Mid-level MLOps Engineer focused on production-grade AI infrastructure and pipeline automation.

Senegal

Message

What I'm looking for

I am looking for an MLOps or AI Engineering role where I can build and scale production-grade ML pipelines. I am passionate about automating the model lifecycle (CI/CD), optimizing inference (vLLM/Triton), and managing cloud infrastructure (AWS/Azure) to deliver real business impact in a remote-first environment.

I specialize in bridging the gap between Machine Learning and Production. With expertise in Python, Docker, and AWS, I build robust CI/CD pipelines for ML models. My experience includes optimizing real estate prediction models and deploying scalable architectures using Terraform. I am passionate about MLOps efficiency and high-performance model serving.

Experience

Work history, roles, and key accomplishments

MLOps Engineer

freelance

Oct 2025 - Mar 2026 (5 months)

Built an end-to-end NLP pipeline processing 200K Amazon reviews,
from raw data ingestion to automated production retraining. ETL pipeline ingesting 200K records into RDS PostgreSQL
with automated transformations.TF-IDF + Logistic Regression classifier: 91.86% accuracy,
tracked with MLflow.FastAPI service with /predict and /explain endpoints
for real-time inference.Automated data drift

AWS Terraform Kubernetes Sagemaker Docker Compose fastAPI Python OIDC GitHub Actions

MlOps Engineer

Owner.com

Jun 2025 - Oct 2025 (4 months)

Designed and deployed a full cloud-native ML pipeline on AWS
from scratch using Infrastructure as Code.
state locking, OIDC, SageMaker Model Registry, EKS cluster
- Containerized inference API deployed on EKS with Horizontal
Pod Autoscaling (HPA) and Application Load Balancer
- Production monitoring with Grafana dashboards (CPU/RAM)
and real-time alerts via SNS + CloudWatch