AI/ML Engineer with End-to-End Expertise

Zeenat Haseer

AI/Machine Learning Engineer Manassas, VA (Open to relocate)

******.******@*****.*** +1-202-***-****

Status: Green Card Holder / Permanent Resident

AI/ML Engineer with 4+ years of experience in machine learning, deep learning, NLP, and Computer Vision. Skilled in building and deploying scalable ML pipelines, fine-tuning LLMs (BERT, GPT, LLaMA), and implementing MLOps workflows (Docker, Kubernetes, CI/CD) on cloud platforms (AWS, Azure, GCP). Proven track record of leading projects, mentoring engineers, and delivering high- performance AI solutions.

Professional Summary

Machine Learning & AI: End-to-end ML development, supervised/unsupervised/reinforcement/transfer learning, deep learning

(CNN, RNN, LSTM, GRU, Transformers, BERT, GPT), NLP, Computer Vision Frameworks & Libraries: Python, TypeScript, NumPy, Pandas, SciPy, TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face, OpenCV, MLflow, Optuna, W&B, LangChain

MLOps & Deployment: REST APIs (FastAPI, Flask, AWS Lambda), CI/CD (Jenkins, GitHub Actions, GitLab CI), Docker, Kubernetes, Prometheus, Kubernetes, Grafana, ELK, Docker

Data Engineering & Cloud: ETL/ELT (Airflow, Spark, Kafka, AWS Glue), SQL, PySpark, AWS S3, Azure Blob, GCP, SageMaker, Azure ML, Vertex AI

NLP, LLMs & CV Tools: LLaMA, BERT, GPT, fine-tuning, prompt engineering, RAG, embeddings, LangChain, FAISS, Pinecone, ChromaDB, YOLO, Detectron2, EfficientDet

Databases & DevOps: MySQL, PostgreSQL, Snowflake, MongoDB, DynamoDB, Redis, Pinecone, Qdrant, Weaviate, Terraform, Git/Git Flow

Systems & Tools: Python, Bash, Linux, Windows, macOS, CUDA (GPU/TPU), Jupyter, VS Code, PyCharm, Databricks, SageMaker Studio

Leadership & Collaboration: Mentoring junior engineers, leading ML/MLOps/cloud AI knowledge sharing, Agile, Scrum ceremonies, Jira, Confluence

Skills

AI/Machine Learning Engineer Feb 2023 – Present

Voxel51 Texas, Remote

• Developed and deployed end-to-end ML pipelines for computer vision and NLP projects.

• Fine-tuned LLMs (BERT, GPT, LLaMA) and implemented embeddings, RAG, and prompt engineering.

• Managed MLOps workflows with Docker, Kubernetes, CI/CD (Jenkins, GitHub Actions), and cloud platforms (AWS, GCP).

• Mentored junior engineers and led knowledge-sharing sessions on ML, MLOps, and cloud AI. AI/Machine Learning Engineer July 2022 – Dec 2022

CVS Health Virginia, United State

• Built supervised, unsupervised, and reinforcement learning models for healthcare analytics.

• Applied NLP and computer vision techniques to extract insights from structured and unstructured data.

• Used Python frameworks (TensorFlow, PyTorch, scikit-learn) and data engineering tools (Airflow, SQL, PySpark). AI/Machine Learning Engineer – Intern Jan 2022 – July 2022 CVS Health Virginia, United State

• Assisted in developing ML models and pipelines for predictive healthcare analytics.

• Supported deployment using REST APIs (FastAPI, Flask) and cloud services (AWS SageMaker).

• Conducted data preprocessing, feature engineering, and model evaluation for production-ready ML solutions. Machine Learning Engineer – Intern Aug 2021 – Dec 2021 Meta California, United State

• Assisted in developing ML models and pipelines for predictive analytics and recommendation systems.

• Supported deployment of ML solutions using REST APIs (FastAPI, Flask) and cloud platforms (AWS SageMaker, GCP).

• Performed data preprocessing, feature engineering, and model evaluation to ensure production-ready ML workflows.

• Collaborated with cross-functional teams to implement scalable machine learning solutions. Education

Bachelor’s Degree in Computer Science Kabul University 2017-2020 Certification

• Machin Learning with Python FreeCodeCamp

• Generative AI with Large Language Models DeepLearning.AI

• Deep Learning Specialization DeepLearning.AI

Experience

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