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I'm Taha Nadeem Qureshi, a Machine Learning Engineer with 6+ years of experience building end-to-end AI systems (workflows, agents, LLM chatbots & ML systems). I specialize in NLP, predictive analytics, Generative AI, and retrieval-augmented pipelines. I'm proficient in deploying models on AWS SageMaker, Microsoft Azure OpenAI, and Google Cloud Vertex AI, with strong MLOps practices like CI/CD, Docker, Kubernetes, MLflow, and Kubeflow. I enjoy turning complex data problems into practical AI solutions and collaborating across teams to deliver measurable impact.…I'm Taha Nadeem Qureshi, a Machine Learning Engineer with 6+ years of experience building end-to-end AI systems (workflows, agents, LLM chatbots & ML systems). I specialize in NLP, predictive analytics, Generative AI, and retrieval-augmented pipelines. I'm proficient in deploying models on AWS SageMaker, Microsoft Azure OpenAI, and Google Cloud Vertex AI, with strong MLOps practices like CI/CD, Docker, Kubernetes, MLflow, and Kubeflow. I enjoy turning complex data problems into practical AI solutions and collaborating across teams to deliver measurable impact.

Taha Nadeem Qureshi

AI Engineer, Data Scientist, Data Analyst, +2

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I'm Taha Nadeem Qureshi, a Machine Learning Engineer with 6+ years of experience building end-to-end AI systems (workflows, agents, LLM chatbots & ML systems). I specialize in NLP, predictive analytics, Generative AI, and retrieval-augmented pipelines. I'm proficient in deploying models on AWS SageMaker, Microsoft Azure OpenAI, and Google Cloud Vertex AI, with strong MLOps practices like CI/CD, Docker, Kubernetes, MLflow, and Kubeflow. I enjoy turning complex data problems into practical AI solutions and collaborating across teams to deliver measurable impact.…I'm Taha Nadeem Qureshi, a Machine Learning Engineer with 6+ years of experience building end-to-end AI systems (workflows, agents, LLM chatbots & ML systems). I specialize in NLP, predictive analytics, Generative AI, and retrieval-augmented pipelines. I'm proficient in deploying models on AWS SageMaker, Microsoft Azure OpenAI, and Google Cloud Vertex AI, with strong MLOps practices like CI/CD, Docker, Kubernetes, MLflow, and Kubeflow. I enjoy turning complex data problems into practical AI solutions and collaborating across teams to deliver measurable impact.

Available to hire

I’m Taha Nadeem Qureshi, a Machine Learning Engineer with 6+ years of experience building end-to-end AI systems (workflows, agents, LLM chatbots & ML systems). I specialize in NLP, predictive analytics, Generative AI, and retrieval-augmented pipelines.
I’m proficient in deploying models on AWS SageMaker, Microsoft Azure OpenAI, and Google Cloud Vertex AI, with strong MLOps practices like CI/CD, Docker, Kubernetes, MLflow, and Kubeflow. I enjoy turning complex data problems into practical AI solutions and collaborating across teams to deliver measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Machine Learning Engineer (Agentic Systems & Azure AI) at TekHQs INC

June 1, 2023 - Present

Designed end-to-end agent lifecycle and runtime orchestration for multi-agent workflows (retrieval, extraction, vision). Built MCP server scaffolding with gateway APIs enabling orchestration of vision and non-vision skills; integrated Azure AI Foundry, Function Apps, and ML Workspaces for scalable execution; implemented YOLO-based vision models for antenna/component detection; curated drone imagery ground-truth datasets; developed an Evaluation Framework for dataset registration and cloud job execution to benchmark agent behaviors.

Machine Learning Engineer (Predictive Analytics & Inventory Automation) at Potentia Synergy LLC

October 1, 2018 - August 1, 2022

Built end-to-end demand forecasting pipeline for ABB/Honeywell catalogs; engineered time-series features (lags, seasonality, holidays) and evaluated hierarchical forecasts; implemented XGBoost and H2O AutoML; deployed MLflow for automated retraining; containerized models with Docker and deployed to Kubernetes; set up Delta Lake ingestion and real-time REST endpoints for phantom SKU detection.