mingma.
Open to internships · Summer 2026

Mingma Lama

Mingma Lama — full-stack developer and AI/ML engineer. CS @ Morgan State, building intelligent systems where the model and the interface co-design each other.

Recent Win · April 2026

Just won a hackathon.

Mingma and the Kairos team accepting the MorganHacks 2026 Second Place check
Mingma holding the $3,000 Second Place check from MorganHacks 2026
Screenshot of the Kairos knowledge galaxy interface
Google Cloud sponsor prize awarded for the MLH Best Use of Gemini API
MorganHacks 2026 · April 12, 2026

Kairos

A metacognitive, persistent knowledge OS

Runner-Up · $3,000MLH Best Use of Gemini API · 1st

Kairos indexes your files, notes, and code into a living knowledge graph powered by Gemini Embedding 2 — then renders it as an interactive galaxy you can orbit. Ask a question and 20+ metacognitive agents fan out across the cosmos, cycle through Recall → Analysis → Insight, and converge into a single answer.

About

Hello — I'm Mingma.

Mingma Lama portrait

I'm a Computer Science student at Morgan State (graduating May 2027), working at the intersection of full-stack engineering and applied AI/ML. I like building systems where the model and the interface co-design each other — neither is bolted on after the fact.

Most recently I co-built Kairos, a metacognitive knowledge OS with 20 reasoning agents and an interactive knowledge galaxy that took Runner-Up + Best Use of Gemini API at MorganHacks 2026. Before that I shipped responsive sites and Toast POS integrations for two restaurants.

Comfortable across the stack — Next.js, FastAPI, Postgres + pgvector, PyTorch, scikit-learn, Three.js — and most interested in retrieval, agent orchestration, and the interfaces that make AI systems trustworthy in practice.

  • Morgan State University

    B.S. in Computer Science · GPA 3.6 / 4.00

    Graduating May 2027

  • Honors

    Dean's List (CCBC)

    Tau Sigma National Honor Society

  • Baltimore, Maryland

    Open to internships + remote collaboration

Outside the editor

I run.

Outside the editor I run and lift. Just finished my first half marathon, training for a full marathon this October, and an Ironman is on the long list. Endurance work is how I clear my head between sprints.

Mingma at the Naptown Half Marathon finish line

Naptown Half Marathon

Dec 2025 · 13.1 mi

Mingma holding the Baltimore Running Festival 5K crab medal

Baltimore Running Festival 5K

Camden Yards

Baltimore 25th anniversary crab medal in front of the Inner Harbor

25th anniversary medal

Inner Harbor

✓ Half marathonNext: Marathon · Oct 2026Long-term: Ironman

Experience

Where I've worked

  1. Web Developer

    Jun 2025Aug 2025

    Venetian Italian Eatery · Edgewood, MD

    • Redesigned a mobile-responsive restaurant site with improved page-load performance and cross-device compatibility — increasing online engagement and direct-order conversions
    • Partnered directly with ownership to integrate web updates into Toast POS workflows; delivered end-to-end technical support to minimize downtime during peak hours
    HTML/CSSJavaScriptToast POS
  2. Web Developer

    Dec 2024Feb 2025

    Valentino's Restaurant Group · Baltimore, MD

    • Developed and maintained responsive frontend interfaces across multiple restaurant sites — managing dynamic content (menus, promos, media) for marketing initiatives
    • Configured and troubleshot Toast POS systems — streamlining order processing and payment workflows for staff across multiple locations
    HTML/CSSJavaScriptToast POS

Selected work

Projects

knowledge galaxy
Project · 2026Featured

Kairos

A persistent, metacognitive knowledge OS

Kairos indexes your files, notes, and code into a living knowledge graph powered by Gemini Embedding 2 — then renders it as an interactive galaxy you can orbit. Ask a question and 20+ reasoning agents fan out across communities, cycle through Recall → Analysis → Insight, and converge into a single answer that could only come from a system that genuinely understands you.

Runner-Up · $3,000· MorganHacks 2026Best Use of Gemini API · 1st· MLH
  • Indexed concepts with Gemini Embedding 2 + tree-sitter AST parsing; ran Leiden community detection on 1,000+ nodes to surface knowledge clusters as planets
  • Orchestrated 20+ metacognitive agents (Nova, Sage, Void, …) via Gemini function calling — each fans across the galaxy in parallel and runs a 3-phase Recall → Analysis → Insight loop
  • Hybrid retrieval (pgvector + tsvector + RRF fusion) grounds every answer; 4-layer persistent memory consolidates nightly so the system evolves across sessions
Next.jsFastAPIThree.jsGemini Embedding 2Gemini 2.5 Flashpgvectortree-sitter
CDC PLACES 2025
Project · 2026

Mental Distress Prediction Model

Depression + financial stress → mental distress

A state-level predictive model on CDC PLACES 2025 data (50 U.S. states + D.C., n=52) testing whether depression and financial stress jointly predict frequent mental distress. Selected via competitive abstract review for an in-person poster at Morgan State's 31st Annual Research Symposium.

  • Reshaped CDC PLACES long-format survey data with Pandas pivot tables and imputed missing values via column means across all 50 states + D.C.
  • Engineered a composite "financial threat" feature averaging four CDC hardship indicators — housing insecurity, utility shut-off threat, food insecurity, and food-stamp receipt
  • Trained Scikit-learn LinearRegression on an 80/20 hold-out split and benchmarked against RandomForestRegressor, reporting R² and RMSE on the test set; final fit: Mental Distress = 6.163 + 0.313 × Depression + 0.277 × Financial Threat
PythonPandasScikit-learnMatplotlibNumPy
def generate_blog(transcript: str, voice_samples: list[str]) -> str:
    system = (
        "Mimic the writer's sentence rhythm, vocabulary, "
        "and signature phrases. Cite 2–4 timestamps as "
        "clickable youtube.com deep-links. Pull 1–2 quotes."
    )
    return gemini.generate_content(
        model="gemini-2.5-flash",
        system_instruction=system,
Project · 2026

Lamarca

YouTube videos → blog drafts in your voice

A full-stack Django + PostgreSQL app that turns any YouTube link into a polished blog draft in ~30 seconds. Gemini 2.5 Flash handles generation, Supadata feeds transcripts, and a voice-cloning prompt mimics each user's sentence rhythm and signature phrases — every draft ships with timestamped citations and verbatim pull-quotes.

  • Built transcript ingestion via Supadata with [M:SS] markers post-processed into clickable youtube.com deep-links inside every draft
  • Engineered a voice-cloning pipeline: 1–3 user writing samples + a custom system prompt instruct Gemini to match sentence rhythm, vocabulary, and signature phrases
  • Shipped a Stripe credit-pack billing flow with HMAC-verified webhooks, atomic credit grants, Google OAuth sign-in, and a live /billing/diagnostic/ config page; deployed on Vercel with custom canonical-host middleware so OAuth survives deploy-hash URLs
DjangoPostgreSQLGemini 2.5 FlashStripeTailwind CSSVercel
Project · 2025

Restaurant Web Work

Venetian Italian Eatery + Valentino's

Two restaurant engagements: a full mobile-responsive redesign of Venetian Italian Eatery's site, and frontend + Toast POS work across multiple Valentino's locations.

  • Redesigned Venetian's site for mobile + cross-device — improved page load + drove direct-order conversions
  • Maintained dynamic content (menus, promos, media) across multiple Valentino's restaurant sites
  • Configured + troubleshot Toast POS — streamlined order processing during peak hours
HTML / CSSJavaScriptToast POSResponsive design

Toolbox

Skills & stack

Languages

PythonTypeScriptJavaScriptJavaSQL

Frontend

ReactNext.jsTailwind CSSThree.jsReact Three Fiber

Backend

FastAPIDjangoNode.jsREST APIsStripe

Cloud & Data

PostgreSQLpgvectorMySQLNeonVercelGit

AI / ML

Gemini APIRAGKnowledge GraphsPandasNumPyScikit-learnMatplotlib

Contact

Let's build something.

Currently online

I'm open to internships for Summer 2026 and always up for collaborating on AI-grounded products and ambitious interactive web work.

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    AI · Full-stack · Interactive UI

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