Machine Learning Engineer with 7 years of dedicated AI/ML and Data Science expertise, backed by 11 years of overall software engineering experience. I leverage a strong foundation in Supervised, Unsupervised Learning, Deep Learning, Natural Language Processing, and MLOps to develop innovative AI solutions. Complementing this, I am proficient in cloud architecture (AWS Lambda, CDK, Docker) and robust backend development (Python, FastAPI, DynamoDB) to build and deploy scalable, production-ready AI/ML systems.

My key achievements include boosting e-commerce profits by 15% through AI/ML systems for sales forecasting and inventory optimization, alongside reducing bounce rate by 70% with deep learning text summarization. I have also significantly impacted operations by accelerating recruitment by 60% and reducing recruiter workload by 50% using cutting-edge Generative AI applications (Langchain, LLMs) for CV evaluation and interview automation, all while ensuring scalability and cost-effectiveness through proficiency in serverless microservices on AWS (CDK, Lambda, DynamoDB, API Gateway).

I am passionate about applying my combined expertise in ML and Data Science to drive impactful, scalable solutions and bridge the gap between software engineering and AI-driven innovation. If you're seeking a versatile engineer with a strong product mindset and a passion for machine learning, let's connect!