I'm an AI/ML Engineer with 1+ years of hands-on experience in applied machine learning, backed by 4+ years of building scalable full-stack systems.
I work across NLP, computer vision, generative models, and classical ML, focusing on building practical AI solutions that integrate cleanly into production environments.
My background in full-stack development helps me bridge the gap between model development and real-world deployment.
Machine Learning & AI
- LLM-based applications and prompt engineering
- Image generation (Stable Diffusion workflows)
- Computer vision and NLP tasks
- Classical ML for prediction and classification
- Model training, evaluation, and fine-tuning
Development & Deployment
- Python, PyTorch, TensorFlow
- Hugging Face ecosystem, OpenAI APIs
- Backend integration and API development
- Cloud deployment and DevOps practices
- Full-stack application development
I'm actively seeking opportunities as an AI/ML Engineer where I can:
- Build and deploy production-ready AI systems
- Work with LLMs, computer vision, and generative models
- Expand my experience across different model architectures
- Contribute to impactful AI-driven products
Open to collaboration and full-time opportunities
Building practical AI solutions that work in the real world.