Dhruti Vadlamudi
I’m a technical product builder at the intersection of engineering, AI, and business. My work lives where strategy meets execution: identifying problems worth solving, designing data-driven solutions, and then bringing them to life with scalable tech.
I enjoy turning ambiguous challenges into concrete products, whether that’s automating financial workflows, designing AI-powered tools, or building platforms from scratch.
My Work Experience
While some of my work is under NDA or tied to academic honor code policies, here is a glimpse into projects I’ve tackled under those organizations.
📊 Financial Forecasting & Automation
Designed and deployed predictive models to automate risk analysis and portfolio reviews, cutting manual review time by 35%. Delivered executive-ready dashboards that connected technical insights directly to investment decisions.
Tools: Python, TensorFlow, scikit-learn, Tableau, SQL • Company: Impact Financial Advisors
🧠 Employee Engagement & Retention Analytics
Built and managed ETL pipelines consolidating 500k+ HR data points, developed ML models to identify drivers of satisfaction and turnover, and automated reporting to provide real-time workforce insights.
Tools: Python, R, SQL, Tableau, Airflow, Pandas • Org: UW Foster School of Business
🌿 AI-Powered Environmental Data Tools
Led productization of AI tools for compliance reporting and environmental planning. Designed custom Transformer-based NLP systems to generate proposals, reducing drafting time by 50% and improving throughput for client deliverables.
Tools: Python, PyTorch, Hugging Face Transformers, AWS EC2 • Company: Cascadia Consulting Group
Independent Projects
Options Pricing Model
Streamlit-based tool that implements a binomial tree model to price American-style options, integrating real-time market data via yFinance and computing historical volatility using log returns.
ML Based Student Performance Prediction
Simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
Finsight
Developing a personal finance platform that delivers structured financial-health reports. Leverages AI to ask the least amount of questions to gain the most amount of insights. Currently building MVP and product strategy, and preparing for pitch at DubHacks Next.
Throughout my roles, I’ve worn many hats. As a product manager, I defined the why and what. As an engineer, I designed the how. As a researcher, I translated complex data into actionable insights. As an entrepreneur, I turned ideas into tangible products. These experiences shape how I approach problems through balancing strategy with execution to build solutions that are technically robust, user-centered, and built to scale.