Open to opportunities

Neuman Anwar

@neumananwar

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Senior AI/ML Engineer specializing in scalable Deep Learning, LLMs, and production-grade systems.

United States

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What I'm looking for

I seek roles building production-grade AI/LLM systems with strong MLOps, scalable cloud deployments, and opportunities to drive measurable business impact.

I am a Senior AI/ML Engineer with 9+ years building scalable machine learning, deep learning, and Generative AI solutions across advertising and healthcare domains.

I design and deploy production-grade systems—programmatic ad optimization, fraud detection, and real-time customer targeting—using TensorFlow, PyTorch, XGBoost, Kafka, and Spark Streaming.

I build LLM-based applications with GPT, LangChain, RAG and vector search, and create NLP/document intelligence pipelines with spaCy and Hugging Face Transformers.

I deliver cloud-native, secure, explainable AI through MLOps practices (Docker, Kubernetes, Jenkins), multi-cloud deployments (AWS, Azure ML, GCP Vertex AI), and edge inference to meet low-latency, high-throughput business needs.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Clarity Innovations

Mar 2024 - Present (2 years 3 months)

Developed and deployed production-grade AI/ML solutions for programmatic ad optimization, fraud detection, and personalized targeting, improving ad ROI and enabling low-latency decisions in high-frequency environments.

Python TensorFlow PyTorch GPT RAG AWS Apache Kafka

AI/ML Engineer

MediCore Solutions

Mar 2021 - Nov 2023 (2 years 8 months)

Built and scaled AI-powered microservices and ML pipelines for healthcare operations and recommendation systems, reducing dev time and achieving 5-minute executions for large dataset jobs.

Django Tornado Python scikit learn ETL SQL Data Pipelines

Data Scientist

Arbisoft

Jan 2017 - Dec 2020 (3 years 11 months)

Delivered end-to-end predictive models and NLP solutions for classification and document processing, improving model accuracy through advanced feature engineering and deep learning.