As of October 2024, I'm building an Agent 'Hope' at CareerX, Inc. Hope showcases the best Agentic AI has to offer job seekers in 2024.
What is CareerX?
At CareerX, Inc., I’m the Founder & CTO, where we’re rethinking how people showcase their skills. Instead of boring, static resumes, we’re building a dynamic platform that focuses on "skill stories" — how people actually use their skills in real life.
The idea came from my own frustration with traditional career platforms. So, I decided to build a solution where AI helps connect the dots between skills and real-world applications. We use Retrieval-Augmented Generation (RAG) and semantic search to manage and validate skill data with a system of agents that talk to each other to ensure everything is on point.
What’s even cooler? I'm a Level 3 Founder backed by Microsoft for Startups (worth up to $250K!). It’s been an amazing ride so far, blending my passion for AI and helping people tell their unique career stories in a more meaningful way.
My actionable tech stack is long and ever-growing, driven by a causal relationship with my natural state of curiosity.
- Programming: Python, JavaScript, C++
- Data Analytics: Pandas, PySpark, Dask, Tableau, Power BI
- Machine Learning & AI: Scikit-learn, PyTorch (limited), Azure AI, RAG, LangChain, LlamaIndex, SciSpacy
- Cloud & Infrastructure: Microsoft Azure, Azure Blob Storage, CosmosDB
- Optimization & Modeling: Pyomo, Gurobi, Gekko
For more detailed insights into my projects, tech stack, and experience, please send me a request and I will share my CV.
- Patient Trial Match: Leveraging SciSpacy and RAG to match patients with clinical trials, improving accuracy and reducing processing time.
- Employee Turnover Prediction: Built machine learning models to predict employee churn, using structured and unstructured data, achieving a 98% accuracy rate.
- Optimizing Staff Scheduling: Solved staffing challenges for a local restaurant using integer linear programming, improving operational efficiency.
- Spotify Streaming Trends: Visualized correlations between artist performance and streaming trends using Tableau and Billboard data.
- Founder & CTO at CareerX: Led the development of AI-powered systems for skills management and talent retention, reducing data errors by 90%.
- Part-Time Researcher at University of Iowa: NSF-funded ($288K) research on People Analytics.
- Student Ambassador at Tippie College of Business: Proud to represent and support the business school as a student leader, organizing events and connecting with prospective students.
When I'm not coding, you’ll find me exploring music, playing the violin and guitar. I also enjoy experimenting with culinary recipes and engaging in sports like tennis and F1 racing. And of course, coffee fuels my creativity and productivity!
💬 Let’s connect on LinkedIn or check out more of my work right here on GitHub. Looking forward to learning, building, and innovating together!