Machine Learning Engineer | 1+ Years Experience | Python, NLP, Computer Vision, LLMs, GCP, APIs

Machine Learning Engineer

1+ years of experience specializing in applied ML, NLP, Computer Vision, and backend development.

Summary

A skilled Machine Learning Engineer with a strong foundation in Python and practical experience developing and deploying machine learning solutions. I've built and fine-tuned models for natural language processing, image classification, and large language model (LLM) integrations. I am also experienced in backend development using Django and API design, with a growing focus on MLOps and scalable deployment on GCP.

Skills

• Programming Languages: Python, SQL
• Machine Learning & Deep Learning: Scikit-learn, TensorFlow, PyTorch, Keras
• NLP & LLMs: spaCy, Transformers, Text Classification, Summarization, RAG
• Computer Vision: OpenCV, CNNs, Image Classification, Object Detection
• Backend & APIs: Django, FastAPI
• Automation & Scraping: Selenium, BeautifulSoup
• Data Visualization: Matplotlib, Seaborn
• Deployment & DevOps: Docker, CI/CD, Google Cloud Platform (Vertex AI, BigQuery)
• Version Control: Git

Project Highlights

• Built NLP models for text classification, summarization, and feature extraction.
• Developed scalable CNN models for image recognition and facial analysis.
• Integrated generative AI models and LLMs into backend workflows and chat interfaces.
• Led end-to-end ML pipelines from data preprocessing to model deployment on the cloud.

Professional Goals

I am passionate about solving real-world problems with AI, and aim to contribute to cutting-edge projects that drive impact in healthtech, edtech, and applied AI systems.