"Transforming lines of code into bridges of innovation"
"Architecting intelligent systems that transform data into meaningful insights"

Experienced Machine Learning Engineer with 4+ years of hands-on expertise in building production-grade AI systems across healthcare, automation, and business intelligence domains. Specialized in Natural Language Processing, Computer Vision, and Generative AI, with a proven track record of deploying scalable ML solutions that drive measurable business impact.

Currently serving as Chief AI Engineer at EVU Inc., leading technical operations for a venture-backed startup ecosystem with 250+ members, architecting advanced NLP models, recommendation engines, and MLOps infrastructure.

• ML Engineering: End-to-end model development, training, optimization, and deployment
• NLP & LLMs: Fine-tuning transformer models, RAG systems, conversational AI
• Computer Vision: Object detection, image segmentation, generative models
• MLOps: CI/CD pipelines, model versioning, monitoring, and scalability

Specializations: Natural Language Processing (NLP) • Generative AI & Large Language Models • Computer Vision (YOLO, CNN) • Deep Learning • Chatbot Development • Model Optimization & Deployment

Vector Databases: FAISS • Pinecone
Libraries: Sentence Transformers • OpenNN • PyBrain • Pandas • NumPy

Frontend: HTML5 • CSS3 • Capacitor
Backend: RESTful APIs • WebSocket • Microservices

CI/CD: Model Versioning • Automated Testing • Deployment Pipelines
Databases: MongoDB • MySQL

• Automation: Web Scraping (BeautifulSoup) • API Integration • Workflow Automation
• Development Tools: Jupyter Notebook • Google Colab • VS Code • Unity
• Best Practices: AI Ethics • Responsible AI • Full-Stack Architecture • Open-Source Contribution

I'm always interested in collaborating on innovative ML projects, particularly in NLP, Generative AI, and production ML systems. Feel free to reach out!