Hi, I am
Software Engineer, AI & ML
Machine Learning Engineer with 6 years of dedicated AI/ML and Data Science expertise, backed by 9 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!
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This app allows users to upload multiple PDF documents and interactively ask questions, receiving answers along with relevant source citations and also remembering the context of the conversation.
This application predicts the driver churn rate for a ride-sharing company using machine learning algorithms.
This system scans daily market data to generate trade signals, automatically places orders, and saves trade data to a database.