Products I designed and shipped, with AI in the loop.

Side projects I designed, built, and shipped on my own time, using AI tools heavily to move fast.

✦ I built each of these with substantial help from AI tools like Claude, across design, code, and content.

SwingScope

Guided, educational market analysis for swing traders

A demo-ready MVP that helps intermediate swing traders learn why a setup is or isn't forming. Pairs a React + TypeScript frontend with a FastAPI backend to deliver guided technical analysis, without ever presenting financial advice.

Search US tickers and build a single master watchlist with delayed price data and candlestick charts.
Deterministic technical-analysis strategy engines explain the conditions behind each setup.
AI panel with Technical Analyst, Research Assistant, and Learn modes, plus annotated teaching moments directly on-chart.

ReactTypeScriptFastAPIPythonAI

Educational analysis platform, not a brokerage or financial advisor.

CrimeReel Studio

True crime cases → serialized short-form video, automatically

An AI-powered content pipeline that transforms real true crime cases into serialized short-form video scripts optimized for Instagram Reels, YouTube Shorts, and Facebook. Built for the @crimewithmasala brand, it automates case research, script generation, pacing analysis, and voiceover, cutting production time from hours to minutes.

Input a case via URL, pasted text, or auto-suggestion, and the app scrapes, summarizes, and generates a serialized 3-episode script tuned for 30-60 second Reels.
Every episode gets pacing feedback, word-count analysis, cliffhanger scoring, and cut suggestions.
Generates AI voiceover, sources dark cinematic B-roll, and assembles the final 9:16 vertical video, ready to download and post.

ReactViteFastAPIClaude APIElevenLabsPexels APIMoviePyVercelCloud Run

Coffee Quest

Learn espresso by feel, without burning beans

A single-page React app for people getting into specialty coffee: 38 honest equipment reviews, an interactive brewing simulator, and a persistent brew tracker with trend visualization. Zero npm dependencies: React 18, Tailwind, and Babel run straight from CDN.

The Brew Slider: four live controls (grind, temperature, ratio, time) drive real-time flavor verdicts that teach the cause-and-effect loop.
Filterable catalog of 38 machines, grinders, and accessories from an $8 spray bottle to an $8,495 La Marzocco.
Brew log saved to localStorage with a hand-rolled inline-SVG trend chart: no chart library, ~50 lines.

React 18TailwindInline SVGlocalStorageZero-build

Selected client work.

Multi-Agent Market Insights System

Built a production multi-agent AI system with personalized memory, scheduled research tasks, and MCP integrations across AlphaSense, Factiva, and Exa.ai, synthesizing deep research in minutes.

Deployed as the primary insights infrastructure for a large internal team and scaling to a second platform.
Combined agent memory, scheduled research, and external market-intelligence sources into one research flow.
Cut deep research from hours to minutes for the team.

Multi-Agent AIMCPRAGAlphaSense / Factiva / Exa.ai

Consumer Communications Root-Cause Analysis

SQL-driven analysis across millions of records to isolate duplicate consumer notice patterns and coordinate the full fix cycle.

Mapped the operational and system conditions creating redundant outreach.
Led a team of four engineers through design, UAT, and go-live for the fix.
Reduced redundant outreach by 20% with zero recurrence in six months post-deployment.

SQLAnalyticsOperations

Pricing & Usage Analytics at Badger Maps

Product analytics and pricing modeling that guided rollout decisions and revenue improvements.

Analyzed 200K+ user records in PostgreSQL to quantify route optimization value (~$71 saved per user).
Python engagement analysis drove a 30% increase in route optimization usage.
R pricing simulation backed a 5% adjustment that improved retention.

PythonRPostgreSQLExperimentation