🎓 Computer Science (B.A.) @ Barnard College, Columbia University
📍 Based in NYC | 🌎 First-gen student | 💡 Break Through Tech ML Fellow
📬 PriSinha45@gmail.com | LinkedIn

Hey there! I’m Priya, a passionate CS major and ML enthusiast on a mission to build intelligent, scalable systems that solve real-world problems. Whether I’m designing secure backend APIs through Model Context Protocol at Travelers, enhancing user experience through front-end magic at ParaKIDS, or developing neural networks through Break Through Tech’s ML Fellowship, I bring curiosity, resilience, and a love for learning into every space I enter.

Currently working on:

• 🧠 AI-integrated microservices & LLM tools at Travelers
• 🖼️ Creative web UX design & interactivity
• 📊 Model training + data visualization using Python, Scikit-learn, and friends

🧠 Languages: 🐍 Python ☕ Java 🌐 JavaScript 🎨 HTML/CSS
🤖 ML Tools: 🐼 Pandas 📊 NumPy 📦 Scikit-learn 📈 Matplotlib 🌊 Seaborn 🔗 LangChain 🕸️ LangGraph 📚 RAG
🛠️ Dev Tools: 🔧 Git 💻 VS Code ☁️ AWS 🔐 Okta 🔁 REST APIs

• Selected for a 4-month, project-based program focused on building production-ready AI agents
• Design and implement agentic architectures using LangGraph/LangChain with Google Gemini
• Build end-to-end agent systems incorporating RAG pipelines, tool integrations, memory, and error handling
• Deploy and evaluate agent applications using systematic testing, custom metrics, and data-driven optimization
• Collaborate with 4 team members to design and deliver a fully documented AI agent that transcribes meetings, identifies action items, and assigns them to the appropriate individuals
• Present final project through a live demo and technical presentation to industry professionals

• Migrated REST APIs into Remote MCP Server architecture with LLM integrations like TravAI
• Developed secure, Okta-authenticated endpoints & supported AI workflows using AWS Bedrock
• Contributed to scalable AI-powered tools alongside engineers in agile sprints

• Rebuilt a dynamic WordPress e-commerce site with custom HTML/CSS/JS features
• Enhanced user engagement via interactive design, shopping carts & smooth UX transitions

AI Studio Fellow | Chambers Capital Ventures (Fall 2025)
Evaluator-Insight | NLP & Customer Persona Analysis
🔗 https://github.com/prisinha45/Evaluator-Insight

• Developed end-to-end NLP pipelines in Python to clean and analyze qualitative transcripts
• Applied sentiment analysis (TextBlob, VADER) to extract messaging insights
• Used K-means clustering to segment prospects into actionable personas
• Built interactive dashboards with Plotly & Matplotlib to visualize sentiment trends and buyer motivators
• Translated technical findings into data-driven recommendations supporting founders’ go-to-market strategy
• Managed GitHub version control and contributed within agile sprints

This project reflects my interest in applied machine learning, interpretability, and using AI to support real business decisions.

DevFest Co-Lead — Application Development Initiative (ADI)

• Co-lead Columbia’s annual largest hackathon, managing ~30 organizers across logistics, sponsorship, marketing, and operations
• Coordinate planning for an event with 300+ participants from across the U.S.
• Work with sponsors, judges, and university partners to execute a high-impact technical event

Additional Involvement:
Columbia Formula Racing (Low Voltage & Software), Columbia Space Initiative (SUITS), Girls Who Code (Media & Outreach), DivHacks, Almaworks Fellow @ CORE

• Selected from 4,000+ students for an 18-month AI program
• Completed an 8-week summer ML curriculum focused on real-world applications
• Built models using Python, Scikit-learn, Matplotlib, and more
• Earned the Machine Learning Foundations Certificate

I'm always open to chatting about AI/ML, creative tech projects, or mentorship!
Feel free to reach out via LinkedIn or email me at PriSinha45@gmail.com.