Amanatullah

About Amanatullah

Expert AI Developer Crafting Cutting-Edge Solutions Passionate about leveraging the latest advancements in AI to build innovative solutions to complex problems. Extensive expertise architecting and implementing generative AI systems, large language models (LLMs), and natural language processing capabilities to deliver tangible business value. Created multiple intelligent chatbots powered by Langchain, Pinecone, GPT-3.5, and other LLMs for seamless conversational experiences. Built an advanced retrieval-augmented generation (RAG) system with Haystack,Llamaindex and various LLMs enabling robust question answering and information retrieval. MLOps- ML Pipeline Orchestration: Airflow, Kubeflow Pipelines Model Versioning: MLflow Model Registry Model Packaging: Docker, ONNX CI/CD for ML: GitHub Actions, GitLab CI/CD ML Metadata Management: MLflow, DVC Model Deployment: AWS SageMaker, Azure ML, Seldon Core Model Monitoring: Prometheus, Grafana, Evidently Automated Retraining: MLflow Projects A/B Testing: MLflow Models Canary Deployments: Kubernetes Rollbacks: Feature Flags, Modular Design Scalability & Cost Optimization: Kubernetes Autoscaling Infrastructure Provisioning: Terraform, Ansible Data Versioning & Lineage: DVC Key Skills- Machine Learning Lifecycle Management Tools: MLflow, DVC, Git Model Building and Evaluation Algorithms: Regression, Random Forest, XGBoost Evaluation Metrics: RMSE, R-squared, ROC AUC Feature Engineering Techniques: Imputation, Outlier Removal, Encoding, Scaling Libraries: Pandas, Scikit-learn, Numpy Model Deployment Containerization with Docker Cloud services: AWS SageMaker, Azure ML Unsupervised Learning Algorithms: K-means, DBSCAN, t-SNE Deep Learning TensorFlow, Keras, CNNs, NLP Models Key Skills Machine Learning Algorithms: Regression, Random Forest, XGBoost, K-Means, t-SNE Model Evaluation Metrics: RMSE, Cross-Validation, Confusion Matrix Feature Engineering: Encoding, Imputation, Scaling, Transformation Model Deployment: Docker, Kubernetes, AWS SageMaker, Azure ML ML Infrastructure: MLflow, DVC, Airflow, Kafka ML Frameworks: Scikit-Learn, TensorFlow, PyTorch, Keras Passionate about continuously expanding AI skillset and staying ahead of the curve on the latest innovations. Excited by complex, multidimensional problems and coming up with creative solutions through prototypes and MVPs. Skilled at translating AI capabilities into tangible business value and positive end-user experiences. Thrive in fast-paced environments where I can make a direct impact through my contributions.

Experience

1. Ai Developer

   Fastor7 Technology

   Jul 2023 — Present · Delhi, IN

Education

• Jamia Millia Islamia

  Senior Secondary, 12th

• Shobhit University

  Bachelor's degree, Mathematics and Computer Science

• Almabetter

  Bachelor's degree, Data Processing and Data Processing Technology/Technician

• Kalinga University, Raipur

  Bachelor of Technology - BTech, Computer Science