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I'm a seasoned AI/ML engineer with 10+ years of experience designing, deploying, and scaling intelligent systems across NLP, computer vision, and predictive analytics. I love turning ambitious ideas into practical, production-ready solutions that drive real business impact. Based in Los Angeles, I mentor junior engineers, lead end-to-end ML pipelines, and continuously learn emerging technologies like federated learning and privacy-preserving AI. I'm passionate about building scalable ML infrastructure and translating data-driven insights into user-centered features.…I'm a seasoned AI/ML engineer with 10+ years of experience designing, deploying, and scaling intelligent systems across NLP, computer vision, and predictive analytics. I love turning ambitious ideas into practical, production-ready solutions that drive real business impact. Based in Los Angeles, I mentor junior engineers, lead end-to-end ML pipelines, and continuously learn emerging technologies like federated learning and privacy-preserving AI. I'm passionate about building scalable ML infrastructure and translating data-driven insights into user-centered features.

Jay Ahmad

AI Engineer, Data Scientist, Full Stack Developer, +6

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I'm a seasoned AI/ML engineer with 10+ years of experience designing, deploying, and scaling intelligent systems across NLP, computer vision, and predictive analytics. I love turning ambitious ideas into practical, production-ready solutions that drive real business impact. Based in Los Angeles, I mentor junior engineers, lead end-to-end ML pipelines, and continuously learn emerging technologies like federated learning and privacy-preserving AI. I'm passionate about building scalable ML infrastructure and translating data-driven insights into user-centered features.…I'm a seasoned AI/ML engineer with 10+ years of experience designing, deploying, and scaling intelligent systems across NLP, computer vision, and predictive analytics. I love turning ambitious ideas into practical, production-ready solutions that drive real business impact. Based in Los Angeles, I mentor junior engineers, lead end-to-end ML pipelines, and continuously learn emerging technologies like federated learning and privacy-preserving AI. I'm passionate about building scalable ML infrastructure and translating data-driven insights into user-centered features.

Available to hire

I’m a seasoned AI/ML engineer with 10+ years of experience designing, deploying, and scaling intelligent systems across NLP, computer vision, and predictive analytics. I love turning ambitious ideas into practical, production-ready solutions that drive real business impact.

Based in Los Angeles, I mentor junior engineers, lead end-to-end ML pipelines, and continuously learn emerging technologies like federated learning and privacy-preserving AI. I’m passionate about building scalable ML infrastructure and translating data-driven insights into user-centered features.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Lead AI Developer at Blitz Mobile Apps

March 1, 2021 - Present

Designed and deployed enterprise-grade NLP chatbots using BERT and GPT models, improving customer support response efficiency. Built and deployed real-time computer vision and NLP solutions with TensorFlow, PyTorch, and open-source tools for production. Established robust ML pipelines with AWS SageMaker and GitHub Actions to streamline data processing, model training, testing, and deployment. Implemented end-to-end ML lifecycle management with Docker-based microservices (Flask) and CI/CD, ensuring reliable integration with client platforms. Led cross-functional teams to translate ML capabilities into scalable features, mentored junior ML engineers, and drove measurable business impact through AI adoption. Presented ML research at several industry conferences.

ML Engineer at Inno Zone

March 1, 2021 - October 23, 2025

Designed and implemented recommendation engines using collaborative filtering, content-based and hybrid approaches to increase user personalization. Engineered large-scale data pipelines with Spark and Pandas to preprocess multi-terabyte datasets for model training and experimentation. Built and deployed ML microservices with Flask and Docker for production, ensuring reliable integration with client platforms. Developed anomaly detection models to strengthen fraud detection in financial and e-commerce apps. Optimized model training by leveraging cloud resources, including cost-efficient instance scheduling and hyperparameter tuning. Presented ML research at industry conferences and collaborated with cross-functional product teams to translate ML findings into scalable features.

Junior Data Scientist at AppInnovative Technologies

December 1, 2018 - October 23, 2025

Assisted senior data scientists in building predictive models for retail inventory management, helping improve supply chain efficiency. Supported the design and development of customer segmentation pipelines for e-commerce clients, enabling more targeted and effective marketing campaigns. Analyzed user engagement metrics and prepared actionable insights guiding UI/UX design improvements. Contributed to refining data pipelines for multiple client projects, ensuring better scalability and smoother processing. Built dashboards using Tableau and Matplotlib to present insights to business stakeholders.

Lead AI Developer at Blitz Mobile Apps

March 1, 2021 - Present

Designed and deployed enterprise-grade NLP chatbots using BERT and GPT models; built production-grade computer vision systems with TensorFlow; established robust ML pipelines on AWS SageMaker and OpenCV; integrated AI-driven personalization features; collaborated with cross-functional teams to translate business requirements into ML solutions; mentored junior ML engineers and contributed to product strategy.

ML Engineer at Inno Zone

March 1, 2021 - October 23, 2025

Designed and implemented recommender systems using collaborative filtering; engineered large-scale data pipelines with Spark and Pandas; built ML microservices with Flask and Docker to production; developed anomaly detection models; optimized training with cloud resources; presented NLP research at conferences; mentored team; collaborated with product and engineering.

Junior Data Scientist at AppInnovativ Technologies

December 1, 2018 - October 23, 2025

Assisted senior data scientists in building predictive models for retail inventory management; supported customer segmentation pipelines for e-commerce; analyzed user engagement metrics; contributed to data pipelines and dashboards; supported UI/UX improvements and data-driven decision making.

Lead AI Developer at Blitz Mobile Apps

March 1, 2021 - Present

Designed and deployed enterprise-grade NLP chatbots using BERT and GPT models, significantly improving customer support response efficiency. Built and deployed real-time computer vision models with TensorFlow and OpenCV for advanced object detection and recognition tasks. Established robust ML Ops pipelines with AWS SageMaker and GitHub Actions to streamline the full life cycle of model training, testing, and deployment. Applied optimization techniques (quantization and pruning) for edge devices and mobile platforms. Developed large-scale ETL pipelines processing millions of records daily for ML training and analytics. Conducted research on Federated learning and privacy-preserving AI in healthcare. Mentored and guided a team of ML engineers, helping improve PyTorch deployment strategies. Partnered with cross-functional product teams to integrate AI-driven personalization features into mobile apps.

ML Engineer at Innovativ Technologies

March 2, 2021 - October 23, 2025

Designed and implemented recommendation engines leveraging collaborative filtering, content-based and hybrid approaches to enhance user personalization. Engineered large-scale data pipelines with Spark and Pandas to preprocess and manage multi-terabyte datasets for model training and experimentation. Built and deployed ML microservices with Flask and Docker to production, ensuring reliability and smooth integration with client platforms. Developed anomaly detection models to strengthen fraud detection systems in financial and e-commerce applications. Optimized model training by leveraging cloud resources, including cost-effective instance scheduling and hyperparameter tuning methods. Presented applied ML research at several industry conferences, highlighting company expertise and building thought leadership. Collaborated with product and engineering teams to translate business requirements into scalable ML-driven features and services.

Junior Data Scientist at AppInnovative Technologies

December 1, 2018 - October 23, 2025

Assisted senior data scientists in building predictive models for retail inventory management, helping improve supply chain efficiency. Supported the design and deployment of customer segmentation pipelines for e-commerce clients, enabling more targeted marketing campaigns. Conducted analysis of user engagement metrics and provided actionable UX insights. Contributed to data pipelines for multi-client projects, ensuring scalable processing. Developed and maintained dashboards and reports to monitor model performance.