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Sharif Amlani, PhD

Roles: Data Scientist, Researcher, Survey Scientist, AI Engineer, Full-Stack Developer

Precision,
at speed.

I build AI that enterprises trust, and I measure whether it works. Don't take my word for it: ask my AI.

Hire me

FIG. 01 — A MAP OF MY WORK

EVERY POINT IS ONE PASSAGE · CLOSER = MORE RELATED

HOVER TO READ · ASK MY AI TO SEE WHAT IT READS

695 REAL PASSAGES · CLUSTERED BY TOPIC

3 days → 3 mins
CREDIT-RISK WORKFLOWS
MOODY'S ANALYTICS
5
PEER-REVIEWED PUBLICATIONS
170+ CITATIONS
20+
ENTERPRISE CLIENTS
$1T+ IN COMBINED VALUATIONS
25 hrs → 10 min
SURVEY ANALYSIS
SURVEY FLUENCY · 95% ACCURACY
Grand Champion
HACK FOR HUMANITY: MIAMI
BUILD FOR MIAMI · OCT 2026

Five disciplines.
One standard.

Most teams hire these as five people. The edge is having them in one head: the question, the data, the model, the system, and the proof that it works.

  1. 01

    Data Scientist

    Random forests, causal inference and 13M+ campaign-finance records, turned into findings that hold up.

    R · PYTHON · SQL · ML · DiD · RDD

  2. 02

    Researcher

    Five peer-reviewed papers, 170+ citations, featured in The Economist, The New York Times and The Washington Post.

    UC DAVIS PHD · ADJUNCT ASST. PROFESSOR

  3. 03

    Survey Scientist

    Designed and fielded two national surveys (N = 2,300 and 4,300) with conjoint and A/B experiments.

    QUALTRICS · CONJOINT · SCALING

  4. 04

    AI Engineer

    Builds and ships production AI agents. At Moody's Analytics, three of them cut credit-risk workflows from 3 days to 3 minutes.

    LANGGRAPH · RAG · MCP · LLM EVALS

  5. 05

    Full-Stack Developer

    Ships production systems end to end, from the API to the cloud to the screen the client sees.

    FASTAPI · DOCKER · GCP · SUPABASE · CI/CD

FIG. 02 — THE NEEDLE

Loading model results

FORECASTING

Every race.
One needle.

A random forest that calls U.S. House elections out of sample. Turn up the model and watch the races fall onto the line, and see exactly which ones it still misses.

Read the case

WHERE I'VE WORKED

CHIEF TECHNOLOGY OFFICER

HumanAI Ventures, Survey Fluency

Sharif Amlani pitching HumanAI at UC Berkeley SkyDeck
PITCHING HUMANAI AT UC BERKELEY SKYDECK
  • Building Survey Fluency: raw survey data to toplines, cross-tabs, summaries and slide decks, a 25-hour workflow in about 10 minutes.
  • Agentic LangChain and LangGraph pipelines on Claude and OpenAI that plan, run and critique the statistics at 95% accuracy.
  • Production backend on Google Cloud (FastAPI, Docker, CI/CD, Supabase), with design-partner pilots at KL Communications, Beacon Research and C+R Research.

Measured,
not guessed.

5 PEER-REVIEWED PUBLICATIONS170+ CITATIONS