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vineeth govind

@vineethgovind

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Head of Engineering at MARLN CORPORATION, delivering enterprise AI architectures and MLOps across multiple clouds.

Saudi Arabia

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At MARLN CORPORATION, I guide AI strategy and end-to-end architectures for custom machine learning, natural language pipelines, and predictive analytics. I also established MLOps frameworks and CI/CD pipelines across AWS, Azure, and GCP.

At Gamgee, I developed IoT-enabled Wi-Fi activity recognition systems for fall detection and home security, achieving 95% model accuracy. I built real-time AWS ML pipelines and reduced false positives by 30%.

At Diriyah Company, I designed real-time marketing analytics and consolidated internal data sources into automated pipelines. I replaced vendor-dependent reporting with Python dashboards and standardized campaign KPIs with SQL validation checks.

Earlier, at Single Earth, I developed forecasting and real-time carbon monitoring models. At TalTech (Tallinn Univ. of Technology), I worked on signal processing and computational modeling, including smart infrastructure projects.

Experience

Work history, roles, and key accomplishments

Current

Head of Engineering

Current

Marln Corporation

Jan 2026 - Present (9 months)

Spearheaded AI strategy and technical roadmaps for enterprise and federal clients. Designed end-to-end AI architectures and established automated MLOps frameworks and CI/CD pipelines across multi-cloud ecosystems.

AI Strategy MLOps CI CD AWS Azure GCP Data Governance Architecture Design

Data Scientist (Contract)

Diriyah Company

Jun 2025 - Mar 2026 (9 months)

Designed a real-time marketing analytics framework and automated pipelines consolidating internal data sources. Authored the Marketing Data Strategy and standardized KPI definitions with SQL validation checks.

Python SQL Data Pipelines Data Governance KPI Standardization Dashboarding Security

Lead Data Scientist

Gamgee

Jan 2024 - May 2025 (1 year 4 months)

Developed IoT-enabled Wi-Fi activity recognition systems using CSI, achieving 95% model accuracy for fall detection and home security. Designed scalable ML pipelines on AWS and implemented MLOps practices with full GDPR compliance.

IoT CSI Deep Learning AWS S3 EC2 Lambda Kinesis Sagemaker Docker Kubernetes GDPR Signal Processing

Data Scientist

Freelancer

Aug 2023 - Dec 2023 (4 months)

Built LLM-powered NLP pipelines for content summarisation and recommendations, reducing manual processing time by 40%. Developed automated content generation tools and applied computer vision for object segmentation and image classification.

LLM NLP Computer Vision Deep Learning Forecasting Python Evaluation Frameworks

Data Scientist

Single Earth

Mar 2022 - Jul 2023 (1 year 4 months)

Designed and optimised modular ETL pipelines using PySpark, Airflow and SQL, improving data loading processes by 35%. Built and deployed predictive analytics models with Prophet, TensorFlow and Scikit-Learn achieving <5% MAPE.

PySpark Airflow SQL Prophet TensorFlow scikit learn LSTM ARIMA AWS Azure Hadoop MLOps CI CD

Data Scientist

DataZoo GmbH

Oct 2021 - Feb 2022 (4 months)

Developed demand forecasting models from sensor data to improve sales predictions and inventory optimisation. Refactored Python codebases and optimised AWS pipelines, increasing data processing efficiency by 40%.

Python AWS Lambda Kinesis Redshift Docker Kubernetes Sagemaker Demand Forecasting Sensor Data

Data Scientist (Freelance)

Freelancer

Oct 2019 - Sep 2021 (1 year 11 months)

Developed machine learning and statistical forecasting models across multiple client engagements, delivering a 25% improvement in prediction accuracy. Built data anomaly detection pipelines and implemented NLP pipelines for text classification.

Machine Learning Statistical Modeling Forecasting Anomaly Detection Deep Learning NLP Python

Research Scientist

TalTech (Tallinn Univ. of Technology)

Dec 2009 - Aug 2019 (9 years 8 months)

Improved system throughput by 20% through optimization of signal processing algorithms and statistical analysis. Led 5 interdisciplinary projects and mentored 15+ graduate students.

Signal Processing Statistical Analysis System Optimization Project Leadership Mentorship