Rithvikh
Katpelly
AI & ML engineer-in-training building agentic systems, RAG pipelines, and deep learning models — independently, from scratch.
Projects that
think and act
End-to-end AI applications built independently — from agentic chatbots to route optimizers.
AI-Powered Study Assistant
LLM-powered tutoring assistant using the Claude API with custom prompt engineering for summarization, Q&A, and adaptive study workflows. Applied MCP (Model Context Protocol) concepts to design extensible tool integrations.
Agentic AI Chatbot
Multi-step autonomous chatbot using agentic workflows, tool orchestration, and memory systems. Applied LangChain and LangGraph patterns to enable dynamic reasoning and task chaining across conversation turns.
AI Financial Chatbot
Built as part of the BCG X GenAI Job Simulation via Forage. Performed data extraction, analysis, and developed a functional AI-powered financial chatbot using real-world generative AI development workflows.
Smart Route Optimizer
Multi-stop route optimization app applying graph-based algorithmic decision logic for scheduling and path selection. Built with JavaScript using graph theory and dynamic programming principles.
LeetCode Algorithms Repository
Structured repository of annotated algorithm solutions across trees, graphs, dynamic programming, heaps, and system design. Maintained for interview preparation with solutions in both C++ and Python.
Where I've
been trained
Anthropic Academy
RecentAI Developer Certification Track
Apr 2026 – Jul 2026
Online
- Claude with Amazon Bedrock, Building with the Claude API, Claude Code in Action & 101
- Introduction to Model Context Protocol & Advanced Topics
- Introduction to Agent Skills, Claude Cowork, and Claude 101
IBM · Coursera
Professional Certificate Programs
Sep 2025 – Jun 2026
Online
- IBM RAG and Agentic AI — 10-course professional certificate (Jun 2026)
- IBM Deep Learning with PyTorch, Keras & TensorFlow — 5-course certificate (Sep 2025)
- RAG for Generative AI Applications — 4-course certificate (Sep 2025)
Coursera Specializations
Multi-Course Specializations
Jan 2025 – Apr 2026
Online
- AI Agent Developer — Vanderbilt University (Aug 2025)
- Modern Statistics for Data-Driven Decision-Making — Arizona State University (Mar 2026)
- Object Oriented Programming in C++ — University of London (Jan 2025)
BCG X · Forage
GenAI Job Simulation
Mar 2026
Industry Simulation
- Performed data extraction and analysis in a real-world consulting context
- Built a functional AI-powered financial chatbot using generative AI workflows
- Practiced end-to-end GenAI development as part of a BCG X simulation
OpenAI
OpenAI Agents SDK Mastery Journey in Python
2026
Online
- Mastered the OpenAI Agents SDK for building autonomous AI agent workflows in Python
- Implemented multi-agent orchestration, tool use, and handoffs using the SDK
- Built production-ready agentic pipelines with OpenAI models and Python tooling
Google Cloud · Anthropic
Claude with Google Cloud's Vertex AI
2026
Online
- Deployed and integrated Claude models via Google Cloud's Vertex AI platform
- Built scalable AI applications leveraging Vertex AI infrastructure with Claude
- Explored enterprise-grade AI deployment patterns using Anthropic and GCP services
University of California, Davis
B.S. Data Science & Economics — Quantitative Focus
Expected June 2028 · NCAA Student-Athlete, Men's Tennis
Coursework in econometrics, statistics, algorithms, and computational methods. Competing in NCAA singles and doubles while maintaining a full technical learning schedule.
Core Skills
Languages
AI / ML
Agentic AI
Vector DBs
Cloud & Tools
CS Foundations
Analytics
A bit
about me
Rithvikh Katpelly
AI & ML Engineer-in-Training · UC Davis
Sophomore at UC Davis pursuing a B.S. in Data Science & Economics with a quantitative focus. I build agentic AI systems, RAG pipelines, and deep learning models — independently and from scratch.
My focus is at the intersection of agentic AI and practical engineering — building systems that reason, plan, and act autonomously. I've completed 30+ hours of certified training across Anthropic Academy, IBM, and Vanderbilt covering Claude API integration, Model Context Protocol, LangChain, and multi-agent architectures.
I have strong foundations in statistics, algorithms, and OOP with a proven ability to ship end-to-end AI applications independently. From RAG pipelines to financial chatbots to route optimizers — I build things that work.
Outside of engineering, I compete as an NCAA student-athlete in men's tennis at UC Davis, which has sharpened my discipline, time management, and ability to perform under pressure — skills I bring directly to technical work.
Education
B.S. Data Science & Economics, UC Davis
Based in
Fremont, CA
Athletics
NCAA Men's Tennis, UC Davis
Currently
Building AI & ML projects independently
What drives my work
Build real things, independently
End-to-end ownership from architecture to deployment. No hand-holding.
Depth over breadth
Master the fundamentals of AI/ML before chasing every new framework.
Agentic thinking
Systems that reason and act autonomously are the future of software.
Athlete's mindset
Discipline, consistency, and performance under pressure — on the court and in code.
Currently exploring
Open to internships & AI roles
Looking for AI/ML internships, research opportunities, and entry-level roles. Based in Fremont, CA — open to remote.
Got a role or project
worth talking about?
I'm actively looking for AI/ML internships and entry-level roles. I respond to every message promptly.
Direct channels
linkedin.com/in/rithvikh-katpelly
GitHub
github.com/rithvikkatpelly
Looking for AI/ML internships and entry-level roles. Based in Fremont, CA — open to remote.