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I’m Taha Ali, an AI/ML engineer specializing in end-to-end GenAI solutions, NLP, and scalable ML systems. Since 2021 I’ve been delivering production-grade AI deployments on AWS and Azure, building real-time RAG pipelines, and integrating ML into healthcare analytics and enterprise workflows. I enjoy turning complex data problems into practical AI products, from data ingestion and model training to monitoring, governance, and impact measurement. In my spare time I contribute to open-source AI tooling and mentor engineers exploring AI strategies and responsible AI. I value clear collaboration with cross-functional teams and clients to iterate on fast, robust, and ethical AI solutions that scale.…I’m Taha Ali, an AI/ML engineer specializing in end-to-end GenAI solutions, NLP, and scalable ML systems. Since 2021 I’ve been delivering production-grade AI deployments on AWS and Azure, building real-time RAG pipelines, and integrating ML into healthcare analytics and enterprise workflows. I enjoy turning complex data problems into practical AI products, from data ingestion and model training to monitoring, governance, and impact measurement. In my spare time I contribute to open-source AI tooling and mentor engineers exploring AI strategies and responsible AI. I value clear collaboration with cross-functional teams and clients to iterate on fast, robust, and ethical AI solutions that scale.

Taha Ali

AI Engineer, Data Scientist, Developer, +4

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I’m Taha Ali, an AI/ML engineer specializing in end-to-end GenAI solutions, NLP, and scalable ML systems. Since 2021 I’ve been delivering production-grade AI deployments on AWS and Azure, building real-time RAG pipelines, and integrating ML into healthcare analytics and enterprise workflows. I enjoy turning complex data problems into practical AI products, from data ingestion and model training to monitoring, governance, and impact measurement. In my spare time I contribute to open-source AI tooling and mentor engineers exploring AI strategies and responsible AI. I value clear collaboration with cross-functional teams and clients to iterate on fast, robust, and ethical AI solutions that scale.…I’m Taha Ali, an AI/ML engineer specializing in end-to-end GenAI solutions, NLP, and scalable ML systems. Since 2021 I’ve been delivering production-grade AI deployments on AWS and Azure, building real-time RAG pipelines, and integrating ML into healthcare analytics and enterprise workflows. I enjoy turning complex data problems into practical AI products, from data ingestion and model training to monitoring, governance, and impact measurement. In my spare time I contribute to open-source AI tooling and mentor engineers exploring AI strategies and responsible AI. I value clear collaboration with cross-functional teams and clients to iterate on fast, robust, and ethical AI solutions that scale.

Available to hire

I’m Taha Ali, an AI/ML engineer specializing in end-to-end GenAI solutions, NLP, and scalable ML systems. Since 2021 I’ve been delivering production-grade AI deployments on AWS and Azure, building real-time RAG pipelines, and integrating ML into healthcare analytics and enterprise workflows. I enjoy turning complex data problems into practical AI products, from data ingestion and model training to monitoring, governance, and impact measurement.

In my spare time I contribute to open-source AI tooling and mentor engineers exploring AI strategies and responsible AI. I value clear collaboration with cross-functional teams and clients to iterate on fast, robust, and ethical AI solutions that scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Afar

Advanced

Work Experience

Lead Machine Learning Engineer at Ecologix

September 1, 2021 - Present

Led the engineering of headless data scraping, text-embedding pipelines, and development of a Retrieval-Augmented Generation system using advanced AI models. Built real-time conversational AI backends and automated workflows for embedding ingestion. Led computer vision projects focused on sports object tracking and swimming pose estimation, and developed healthcare billing automation with RPA. Designed intelligent AI agents and implemented CI/CD pipelines for seamless ML deployments, leveraging cloud platforms including Google Cloud Run and DigitalOcean.

Senior Machine Learning Engineer at Complya

August 31, 2021 - August 1, 2025

Trained and fine-tuned various deep learning models such as YOLOv5 and InceptionV2 for object detection tasks. Developed automated pipelines for data ingestion and model training with reproducibility. Created RESTful APIs and deployed microservices on AWS with container orchestration. Orchestrated workflows with Apache Airflow and monitored ML experiments with MLflow. Implemented model optimizations, explainability, and compliance reporting. Collaborated cross-functionally to deliver scalable machine learning solutions and optimized a real-time analytics system to boost performance.

Machine Learning Engineer at ESS

July 31, 2018 - August 1, 2025

Directed development of recommendation systems and advanced NLP-based text classification and sentiment analysis, improving customer engagement and document accuracy. Designed e-commerce platform recommendations leveraging deep learning models. Mentored junior engineers while fostering a collaborative environment. Engaged in continuous learning and worked closely with stakeholders to align ML initiatives with business goals. Conducted regular team knowledge-sharing sessions to promote innovation.

Lead Machine Learning Engineer at Ecologix

September 1, 2021 - Present

Engineered headless data scraping systems, designed and optimized text-embedding pipelines, and developed Retrieval-Augmented Generation systems integrating models from OpenAI, Anthropic Claude, and Google Gemini Vertex AI. Built backend solutions with FastAPI for real-time conversational AI and automated embedding workflows. Led computer vision projects including sports object tracking, swimming pose estimation, and video content insights. Automated healthcare billing workflows using RPA and OCR methods with Llama3.2. Implemented CI/CD pipelines using GitHub Actions and Google Cloud services.

Senior Machine Learning Engineer at Complya

August 31, 2021 - August 1, 2025

Trained and fine-tuned multiple deep learning models, constructed end-to-end data ingestion and model training pipelines, deployed scalable microservices on AWS, and managed real-time analytics systems with significant performance improvements. Implemented robust NLP classifiers and feature engineering pipelines, conducted workflow orchestration with Apache Airflow, and applied model optimization techniques like quantization and pruning. Collaborated cross-functionally to gather requirements and deliver AI-powered solutions while maintaining code quality and system monitoring.

Machine Learning Engineer at ESS

July 31, 2018 - August 1, 2025

Directed the development of recommendation systems and advanced text classification/sentiment analysis solutions using NLP and deep learning. Provided mentorship to junior engineers, fostered collaborative work environments, and actively engaged in continuous learning of AI trends. Collaborated with stakeholders to align machine learning initiatives with business objectives, enhancing project outcomes. Conducted knowledge-sharing sessions to promote innovation within the team.

AI/ML Engineer at Ecologix

September 20, 2021 - Present

Lead development of conversational AI, generative systems, and scalable LLM solutions. Built end-to-end RAG architecture with OpenAI, Anthropic Claude, and Google Gemini Vertex AI; orchestrated with LangChain and monitored via LangSmith. Deployed microservices on Google Cloud Run with CI/CD pipelines using GitHub Actions, Cloud Build, and Cloud Run.

AI/ML Engineer at Estela

May 1, 2016 - August 20, 2021

Developed computer vision and speech-processing pipelines; trained and fine-tuned models such as YOLOv5, InceptionV2, and VGG16 for feature extraction; built automated ML pipelines (ETL, training, validation, testing). Implemented real-time conversational AI bots using FastAPI and embedding pipelines; designed end-to-end RAG solutions; containerized microservices on AWS and GCP; led ML production workflows and data augmentation.

AI/ML Engineer at Ecologix AI

September 20, 2021 - Present

Developed end-to-end AI/ML solutions including NLP, computer vision, and scalable ML systems. Built production-grade ML deployments on AWS/Azure, and designed RAG-enabled generation pipelines using OpenAI, Anthropic Claude, and Google Gemini. Orchestrated with LangChain; implemented real-time data ingestion, model training, validation, and monitoring. Implemented privacy-preserving data masking, analytics dashboards, and alerting. Mentored a team of engineers and maintained client communications for agile iteration.

Education

Master at San Diego State University

January 1, 2015 - December 31, 2017

Master at San Diego State University

January 1, 2016 - December 31, 2016

Master of Science in Computer Science at San Diego State University

January 11, 2030 - February 19, 2026

Master of Computer Science at San Diego State University

January 11, 2030 - March 5, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Retail, Transportation & Logistics, Financial Services, Computers & Electronics, Media & Entertainment, Professional Services, Education