M.Maroof

ML/AI Engineer with hands-on experience in deep learning, NLP, and production API development. Authored independent research on learnable attention normalization in Transformer architectures (NeurIPS 2026 workshop, under review). Proficient in PyTorch, HuggingFace Transformers, LangChain, FastAPI, and MLOps tooling. Focused on bridging research-grade ML with scalable backend systems.

ML/AI Engineer Intern at Developer Hub Corporation (2025-11 – 2026-01)

• Designed and fine-tuned NLP pipelines using HuggingFace Transformers for text classification and information extraction.
• Built and deployed REST APIs with FastAPI, containerized via Docker, and integrated into CI/CD pipelines using GitHub Actions.
• Implemented MLflow experiment tracking for hyperparameter tuning and model versioning across training runs.

ML API Intern / ML Specialist (Contract) at Elevvo PathWays (2026-01 – 2026-03)

• Developed ML-powered REST APIs integrating LangChain with HuggingFace and Mistral LLM backends.
• Built a RAG (Retrieval-Augmented Generation) pipeline for document question-answering using vector stores and embedding models.
• Served fine-tuned models via FastAPI endpoints with low-latency inference optimized for production workloads.

Diploma of Associate Engineering in Software Engineering – Memon Industrial and Technical Institute (MITI) (2027-10)