Alam Al Saud — Senior Data & AI Engineer

About Me

I'm a Senior Data & AI Engineer based in Erlangen, Germany, currently finalizing my Master's in Data Science at Friedrich-Alexander University. I bridge the gap between complex cloud infrastructure and production-grade AI systems.

My work spans the full spectrum — from building real-time IoT pipelines and ETL architectures to deploying LLM-powered applications with RAG, computer vision, and MLOps tooling. I'm also the founder of iPractest.com, an AI-powered language learning platform.

7+Years Experience

10+Projects Shipped

2Publications

4+Certifications

Connect

alamalsaud5@gmail.com linkedin.com/in/alam-al-saud github.com/ratul1214 +49 1623951485

Experience

AI Application Engineer

NewSense Eng. Munich, Bavaria, Germany

Sep 2025 — Present

Built AI application for Security Surveillance with Angular, Python FastAPI, and gRPC.
Used Databricks for machine learning workflows and advanced analytics.
Containerized ML jobs with Docker.
Improved the 3D perception model on Computer Vision.
Developed RAG-based LLM app using LangChain and vector databases (FAISS, Pinecone).

AngularFastAPIgRPCDatabricksLangChainDockerComputer Vision

Lead Data & AI Engineer

Mi-C3 Int. Ltd. Birkirkara, Malta (Remote)

Feb 2023 — Aug 2025

Designed and developed scalable ETL data pipelines with PySpark and integrated data into Snowflake.
Built ETL pipelines using NiFi, PostgreSQL, Airflow, Kafka, and DBT.
Deployed pipeline workflows on Docker + Kubernetes, ensuring scalability and reliability.
Implemented monitoring dashboards with Grafana, Superset, and Pub/Sub.
Created AI chat agent for clients using LLM, RAG, and LangChain.
Developed reliable backend API with FastAPI and frontend with React.

PySparkSnowflakeAirflowKafkaDBTKubernetesGrafanaLangChainFastAPI

Data Engineer

SincoS Automation Technologies Ltd. Dhanmondi, Dhaka, Bangladesh

Nov 2022 — Feb 2023

Built, automated, and maintained production IoT data pipelines using AWS Glue.
Developed and trained ML models on AWS SageMaker for anomaly detection.
Improved data processing efficiency through optimized ETL workflows.
Developed backend services with Spring Boot, integrating data pipelines with applications.

AWS GlueSageMakerPandasNumPySpring BootScikit-learn

Software Engineer

SincoS Automation Technologies Ltd. Dhanmondi, Dhaka, Bangladesh

Nov 2019 — Sep 2022

Developed full-stack applications with FastAPI (Python) for backend and React / Angular for frontend.
Built and deployed mobile applications using Flutter, ensuring cross-platform compatibility.
Maintained code quality through testing, debugging, and performance optimization.

FastAPIReactAngularFlutterJavaSpring Boot

Entrepreneurial Experience

Founder & AI Developer

iPractest.com AI-powered language learning platform

2023 — Present

Built an AI-powered language learning platform integrating LLMs and RAG for personalized learning.
Designed and deployed NLP/LLM pipelines using LangChain, Hugging Face, and vector databases.
Engineered RAG pipelines evaluated via LangSmith / RAGAS for context precision and answer faithfulness.
Implemented interactive learning features with React frontend and Python/Flask backend.
Deployed scalable services on Docker + Kubernetes, hosted on AWS.

LangChainHugging FaceRAGLangSmithRAGASReactFlaskKubernetesAWS

Skills

ML & AI

Scikit-learnXGBoostMLflowSageMaker DatabricksPandasNumPyMatplotlib

Large Language Models

LangChainHugging FaceOpenAI APIRAG FAISSPineconeLangSmithRAGAS

Data & ETL

PySparkAirflowDBTNiFi KafkaSnowflakePostgreSQLMongoDBIceberg

Cloud & MLOps

AWSGCPDockerKubernetes TerraformCI/CDGrafanaPub/Sub

Programming

PythonRustJavaJavaScript TypeScriptSQLBash

Web & Backend

ReactAngularSpring BootFastAPI FlaskFlutterExpress.js

Deep Learning

PyTorchTensorFlowComputer VisionNLP

Collaboration

GitLabGitHubJIRAConfluence

Projects

RAG-based Document Assistant

LLM retrieval system with context-aware Q&A, continuous evaluation via LangSmith/RAGAS for context precision and answer faithfulness.

LangChainFAISSOpenAI APIRAGAS

Anomaly Detection System

ML-powered anomaly detection model trained on SageMaker, deployed on Kubernetes, monitored via MLflow.

XGBoostSageMakerMLflowKubernetesAWS

Energy Monitoring System

Real-time IoT monitoring system with ML models and Airflow/DBT pipelines for industrial energy data.

AirflowDBTRabbitMQAngularJava

Soap Hardness Prediction

Predictive ML model using Databricks + MLflow with automated retraining pipeline for industrial quality control.

XGBoostDatabricksMLflowSageMakerPython

Telecom Tower Data Processing

Large-scale telecom data pipeline handling real-time data processing and storage using NiFi and RabbitMQ.

NiFiRabbitMQPostgreSQLPythonAWSDocker

Production Line Management

Full-stack production line management system with real-time monitoring, workflow automation, and cloud deployment.

AirflowRabbitMQAngularJava SpringAWS

Education

M.Sc. Data Science Friedrich-Alexander University of Erlangen-Nuremberg Erlangen, Bavaria, Germany 2024 — 2026

B.Sc. Computer Science United International University Dhaka, Bangladesh 2015 — 2019

Achievements & Certifications

🏆

1st Place — Adidas Data Science League Herzogenaurach, Germany (2024)

🆂

NVIDIA Certified Professional: Agentic AI NVIDIA

📚

Machine Learning with Python Coursera (2022)

🔗

Certified Blockchain Developer Blockchain Council (2021)

Publications

01

Cluster-oriented instance selection for classification problems

Journal: Elsevier — Information Sciences, 2022

02

Solving multi-class classification tasks with classifier ensemble based on clustering

Journal: UIU Institutional Repository, 2019

Languages

Bangla Native

English Fluent

Hindi Fluent

Urdu Fluent

German A2

Get in Touch

I'm open to new opportunities, collaborations, and interesting conversations.

alamalsaud5@gmail.com LinkedIn Profile github.com/ratul1214 +49 1623951485