Project Portfolio
13+ Real-World Projects That Build Your Career
Each project is designed to solve real industry problems and showcase your skills to potential employers.
Project Categories
All
10 projects
Foundation
3 projects
Agentic AI
5 projects
MCP
2 projects
All Projects
A/B Test Analyzer
Build a statistical rigor tool to determine if A/B test results are real or just random noise. Calculate p-values from scratch, sample size calculators, and detect Simpson's Paradox.
Technologies:
Skills Developed:
Why it matters: Google runs 10,000+ A/B tests yearly; most product managers misinterpret them
Thinking challenge: Did this feature really work? How to avoid false conclusions when running multiple tests?
Personal Career Agent
Build an AI career strategist that analyzes resumes, researches job markets, provides interview prep, and identifies skill gaps with personalized learning paths.
Technologies:
Skills Developed:
Why it matters: Learn how agents maintain coherent multi-turn conversations and ask good questions
Thinking challenge: Agent suggests 'Learn React' but you're a data scientist. How does it know context?
Intelligent SDR Agent
Create an AI Sales Development Rep that qualifies leads, generates personalized emails, manages follow-up sequences, and integrates with CRM systems.
Technologies:
Skills Developed:
Why it matters: Learn how agents handle ambiguous inputs and practice information synthesis
Thinking challenge: Prospect says 'Not interested now.' Does that mean never, or call back in Q2?
Deep Research Agent
Build a multi-source intelligence synthesizer that researches across PDFs, web, and databases, detects contradictions, ranks source credibility, and generates evidence-based reports.
Technologies:
Skills Developed:
Why it matters: Learn how to build agents that seek truth, not just answers
Thinking challenge: 10 sources say 'yes,' 2 sources say 'no' (but the 2 are from Nature). What's the answer?
Deep Research Application
Create a user-facing research tool with web UI, real-time streaming responses, multi-document upload, and export capabilities with citations.
Technologies:
Skills Developed:
Why it matters: Learn how to make long-running agents feel responsive and show thinking process
Thinking challenge: User uploads 50 PDFs. Process all or prioritize most relevant?
Stock Picker Crew
Build a collaborative financial analysis crew with specialized agents: Fundamental Analyst, Technical Analyst, Sentiment Analyst, and Portfolio Manager working together.
Technologies:
Skills Developed:
Why it matters: Learn how diverse agents produce better decisions than any single agent
Thinking challenge: Fundamental says 'buy,' Technical says 'sell,' Sentiment says 'hold.' Who decides?
Developer Agent Crew
Create an AI software team with Architect, Developer, and QA Engineer agents that collaborate on software development with sequential workflows and feedback loops.
Technologies:
Skills Developed:
Why it matters: Learn how to structure agent workflows and build agents that critique each other's work
Thinking challenge: Architect designs for scalability, Developer says 'that's overkill for MVP.' Who's right?
Sidekick Improvements
Enhance an AI assistant with tool integration, multi-modal memory, reasoning chains, and confidence calibration for production-ready performance.
Technologies:
Skills Developed:
Why it matters: Learn how to build production-ready assistants that combine multiple capabilities
Thinking challenge: User asks 'When's my meeting?' Agent must: check calendar, infer which meeting, consider time zones
AI Equity Traders
Build a multi-agent trading system with MCP servers for market data, news sentiment, fundamentals, and technical indicators, plus decision-making agents for scouting, analysis, risk management, and execution.
Technologies:
Skills Developed:
Why it matters: Real stakes with paper trading using real market data - the ultimate project
Thinking challenge: Backtest shows 50% annual returns. Deploy with $100K or $1K? (Overfitting risk)
AI Equity Traders in Action
Deploy the trading system with live market data ingestion, real-time agent coordination, backtesting engine, risk dashboard, and kill switches for production trading simulation.
Technologies:
Skills Developed:
Why it matters: Learn how to deploy high-stakes agent systems safely and reliably
Thinking challenge: Market crashes 10% in an hour. Should agents keep trading or pause?
How 10 Projects Build Your Portfolio
Foundation Projects
Build statistical rigor, career strategy, and sales automation skills
Agentic AI Projects
Master multi-agent systems, research automation, and crew collaboration
MCP Projects
Deploy production-ready trading systems with real-time data
GitHub Showcase
- • Clean, well-documented code repositories
- • Comprehensive README files for each project
- • Live demos and deployment links
- • Contribution history and commit patterns
- • Open source contributions and collaborations
Interview Preparation
- • Technical deep-dives for each project
- • Problem-solving approach documentation
- • Challenges faced and solutions implemented
- • Scalability and optimization considerations
- • Business impact and real-world applications
Ready to Build Your Portfolio?
Start your journey with these industry-relevant projects