Hi, I am
Software Engineer, AI & ML
Machine Learning Engineer & Data Scientist with 9 years of software engineering experience, including 5 years of dedicated, hands-on expertise in AI, ML, and Data Science. 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.
In my recent work, I developed a generative AI application that streamlined the recruitment process by evaluating and ranking candidate CVs based on their alignment with specific job descriptions, and built a Generative AI interview bot using LLM to rate candidate answers, significantly reducing the recruiting team's workload. Previously, I led the company's transition to data-driven decision-making through ML implementation, building a sales forecasting model that increased profit by 15% and a recommender system that boosted sales across product categories.
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.
Was a member of the core team that developed Grassdoor, an e-commerce website and its associated admin portal using ReactJS.
Led the company's transition to data-driven decision-making through ML implementation.
Architected and deployed multiple ML systems for sales forecasting and inventory planning, resulting in a 15% increase in profit.
Built a recommender system for the website, that resulted in increased sales across product categories.
Developed a deep learning text summarization model for product descriptions, leading to a 60% to 70% reduction in bounce rate.
Developed sales analytics dashboards by constructing efficient SQL queries to aggregate data from various sources
Communicated with stakeholders to gather requirements and provided recommendations that considered both business and technical viability, resulting in reduced development time.
Increased the engineering team's efficiency by recruiting, training, and supervising a group of 7 junior developers.
Developed cost-effective serverless microservices using AWS CDK, AWS Lambda, DynamoDB, and API Gateway.