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Hi, I’m Thanveer Shaik. I’m a Senior Machine Learning Engineer with 3+ years of experience delivering production-grade AI solutions for healthcare. I specialize in Python, PyTorch, and OpenCV, designing and deploying scalable ML models optimized for Android-based IoT devices, while ensuring HIPAA-compliant and regulator-ready deployments. I thrive in cross-functional teams and enjoy turning research into robust, production-ready solutions that meet real-world constraints. I’ve led end-to-end ML pipelines on cloud platforms (AWS/Azure), implemented retrieval-augmented generation, RLHF, and multimodal systems, and built secure CI/CD pipelines with Kubernetes and GitLab. I’m passionate about translating clinical needs into practical software with strong data governance, explainability, and impact, and I enjoy collaborating with therapists, data scientists, and engineers to deliver meaningful healthcare AI solutions.…Hi, I’m Thanveer Shaik. I’m a Senior Machine Learning Engineer with 3+ years of experience delivering production-grade AI solutions for healthcare. I specialize in Python, PyTorch, and OpenCV, designing and deploying scalable ML models optimized for Android-based IoT devices, while ensuring HIPAA-compliant and regulator-ready deployments. I thrive in cross-functional teams and enjoy turning research into robust, production-ready solutions that meet real-world constraints. I’ve led end-to-end ML pipelines on cloud platforms (AWS/Azure), implemented retrieval-augmented generation, RLHF, and multimodal systems, and built secure CI/CD pipelines with Kubernetes and GitLab. I’m passionate about translating clinical needs into practical software with strong data governance, explainability, and impact, and I enjoy collaborating with therapists, data scientists, and engineers to deliver meaningful healthcare AI solutions.

Thanveer Shaik

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Thanveer Shaik. I’m a Senior Machine Learning Engineer with 3+ years of experience delivering production-grade AI solutions for healthcare. I specialize in Python, PyTorch, and OpenCV, designing and deploying scalable ML models optimized for Android-based IoT devices, while ensuring HIPAA-compliant and regulator-ready deployments. I thrive in cross-functional teams and enjoy turning research into robust, production-ready solutions that meet real-world constraints. I’ve led end-to-end ML pipelines on cloud platforms (AWS/Azure), implemented retrieval-augmented generation, RLHF, and multimodal systems, and built secure CI/CD pipelines with Kubernetes and GitLab. I’m passionate about translating clinical needs into practical software with strong data governance, explainability, and impact, and I enjoy collaborating with therapists, data scientists, and engineers to deliver meaningful healthcare AI solutions.…Hi, I’m Thanveer Shaik. I’m a Senior Machine Learning Engineer with 3+ years of experience delivering production-grade AI solutions for healthcare. I specialize in Python, PyTorch, and OpenCV, designing and deploying scalable ML models optimized for Android-based IoT devices, while ensuring HIPAA-compliant and regulator-ready deployments. I thrive in cross-functional teams and enjoy turning research into robust, production-ready solutions that meet real-world constraints. I’ve led end-to-end ML pipelines on cloud platforms (AWS/Azure), implemented retrieval-augmented generation, RLHF, and multimodal systems, and built secure CI/CD pipelines with Kubernetes and GitLab. I’m passionate about translating clinical needs into practical software with strong data governance, explainability, and impact, and I enjoy collaborating with therapists, data scientists, and engineers to deliver meaningful healthcare AI solutions.

Available to hire

Hi, I’m Thanveer Shaik. I’m a Senior Machine Learning Engineer with 3+ years of experience delivering production-grade AI solutions for healthcare. I specialize in Python, PyTorch, and OpenCV, designing and deploying scalable ML models optimized for Android-based IoT devices, while ensuring HIPAA-compliant and regulator-ready deployments. I thrive in cross-functional teams and enjoy turning research into robust, production-ready solutions that meet real-world constraints.

I’ve led end-to-end ML pipelines on cloud platforms (AWS/Azure), implemented retrieval-augmented generation, RLHF, and multimodal systems, and built secure CI/CD pipelines with Kubernetes and GitLab. I’m passionate about translating clinical needs into practical software with strong data governance, explainability, and impact, and I enjoy collaborating with therapists, data scientists, and engineers to deliver meaningful healthcare AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at CVS Health

January 1, 2024 - November 24, 2025

Led development and deployment of production-grade ML systems for healthcare applications. Optimized state-of-the-art LLMs (GPT-4, Gemini, Hugging Face Transformers) with Python and PyTorch; built end-to-end ML training pipelines; integrated multimodal inputs (text, voice, vision) for automated decision-making; implemented retrieval-augmented generation (RAG) with LangChain; established HIPAA-compliant deployment pipelines on AWS SageMaker and Azure ML; automated CI/CD with GitLab and Kubernetes; engineered real-time data preprocessing and feature extraction; developed vector embeddings and vector databases to preserve conversational context.

AI/ML Engineer at Accenture

December 1, 2022 - December 1, 2022

Applied ML and DL/NLP solutions using Python for production-grade AI models across diverse domains. Leveraged transformer models (BERT, DistilBERT-SST) for sentiment analysis and financial insights; built time-series forecasting (Bi-LSTM, ARIMA); deployed CNNs for fraud detection; developed explainable AI workflows; created dashboards for data-driven decision making; implemented secure Node.js APIs for real-time data integration; deployed models on AWS and Azure with MLOps practices; conducted rigorous A/B testing and performance benchmarking; ensured GDPR compliance and secure model serving.