NEEL KRISHNA / AI ENGINEER & BUILDER

Intelligence,
engineered.

I build the systems behind exceptional AI experiences. From agent harnesses to generative interfaces, I turn complex technology into tools people can use.

Explore my work Resumé PDF ↗

LEAD AI APPLICATIONS ENGINEERJPMorgan Chase

New York, NY

Neel Krishna by the Hudson River with the New York skyline behind him — BASED IN NEW YORKTHINKING IN SYSTEMS

SCROLL TO EXPLORE

EXPERIENCE ACROSS

JPMorganChaseCapital OneDope Doctors

Years building software

Engineers led at Dope Doctors

$50K+

Annual cloud savings at Capital One

01 SELECTED WORK

Complex systems.
Clear outcomes.

Enterprise AI, data at scale, and the engineering that connects them.

JPMORGAN CHASE · FLAGSHIP WORK

Beyond chat.
A full agent harness.

I built ChaaS into a full agent harness at JPMorgan Chase—connecting enterprise data, adaptive planning, and coordinated multi-agent execution in one platform.

It supports custom agents and sources, custom MCPs, generative UI, and embedded custom dashboards with in-experience controls—all backed by deep Databricks Genie integration.

Agent orchestrationGenerative UIDatabricks GenieCustom MCPsGoogle ADKTemporal

ChaaS / SYSTEM VIEW01—04

↗One question.Multiple systems. A coordinated response.

Adaptive plannerROUTE · DELEGATE · COORDINATE

ADK

01Data agentDatabricks Genie

02Data agentSnowflake

03KnowledgeInternal context

⇄ Parallel execution Temporal DAG

CONCEPTUAL ARCHITECTUREBUILT TO CONNECT THE DOTS ↗

02 / ENTERPRISE DATAJPMC

Making enterprise data
work for people.

Architected a reporting platform for petabyte-scale datasets. Led Databricks Genie deployment to make complex data accessible through natural-language questions.

An order-of-magnitude reduction in ad hoc data requests.

DatabricksStarburstAirflowKubernetes

03 / ENGINEERING LEADERSHIPDOPE DOCTORS

Leading the team.
Building the platform.

Led a 15-person engineering team and end-to-end development for an international telemedicine business with $12M in annual revenue.

Parlay Med, patient applications, CRM, and integrated communications.

Technical strategyTeam leadershipHealthcare

04 / CAPITAL ONE

Six applications.
A smarter cloud footprint.

Migrated six banking applications from EC2 to serverless Node.js on AWS Lambda. Strengthened observability, regional failover, and transaction interfaces.

$50K+ saved annually in cloud costs

02 HOW I THINK

Intelligence should
feel intuitive.

The most interesting AI work happens where the system meets the person using it.

FROM INTENT TO INTERFACE

The right answer deserves
the right interface.

My work spans generative UI, agent-to-agent (A2A) collaboration, and the harnesses that coordinate complex tasks. I connect these disciplines to build AI experiences that are useful, expressive, and grounded in real data.

Interfaces that adapt

Present the chart, plan, or structure that helps a person act on the answer.

Agents that work together

Bring specialized capabilities together through deliberate orchestration and A2A collaboration.

Engineering underneath it all

Connect the experience to enterprise data, distributed execution, and scalable infrastructure.

A SMALL INTERACTIVE EXPLORATION

Choose an intent to see the interface change. A portfolio concept using illustrative data.

03 THE LAB

Curiosity, in code.

Explore GitHub

AI + DATA↗

Databricks Genie Orchestrator

Natural-language questions across Genie Spaces, with Google ADK orchestration, streamed tool activity, SQL results, and synthesized answers.

TypeScriptVIEW REPOSITORY ↗

AGENTS + EXPERIMENTS↗

F1 Pit Wall

A hierarchical multi-agent racing simulation. Coordinators, team principals, strategists, and drivers make delegation visible in an interactive interface.

PythonVIEW REPOSITORY ↗

ALSO EXPLORINGHarvest Lab Financial simulation ↗Hoboken Departures Everyday utility ↗

04 THE PERSON BEHIND THE WORK

A builder’s mindset.
A systems perspective.

I’m Neel, an AI engineer and engineering leader based in New York. Over nearly a decade, I’ve built across financial services, healthcare, cloud infrastructure, and applied AI.

I care about the whole journey: understanding the problem, designing the system, building the interface, and helping a team deliver it. My work connects the depth of enterprise engineering with the possibilities of modern AI.

University of Pittsburgh

Bachelor’s · 2015

AWS Certified Solutions Architect

Earned 2021 · Certification expired 2024

Read my resumé JUNE 2026 · PDF ↗

THE PATH SO FAR

2024 — PRESENT
JPMorgan Chase
Lead AI Applications Engineer
Enterprise AI, agent harnesses & data platforms
2023 — PRESENT · PART-TIME
Dope Doctors
Head of Engineering
Engineering leadership & digital health
2019 — 2023
Capital One
Senior Software Engineer
Cloud modernization & banking applications
2017 — 2018
Cognistx
Software Engineer
Applied NLP & sentiment analysis

GOOD WORK STARTS WITH A CONVERSATION

Let’s build
what’s next.↗

neelkri93@gmail.com

Intelligence,
engineered.

Complex systems.
Clear outcomes.

Beyond chat.
A full agent harness.

Connected intelligence

Adaptive execution

Shared capabilities

Making enterprise data
work for people.

Leading the team.
Building the platform.

Six applications.
A smarter cloud footprint.

Intelligence should
feel intuitive.

The right answer deserves
the right interface.

Interfaces that adapt

Agents that work together

Engineering underneath it all

Curiosity, in code.

Databricks Genie Orchestrator

F1 Pit Wall

A builder’s mindset.
A systems perspective.

University of Pittsburgh

AWS Certified Solutions Architect

JPMorgan Chase

Dope Doctors

Capital One

Cognistx

Let’s build
what’s next.↗

Intelligence,engineered.

Complex systems.Clear outcomes.

Beyond chat.A full agent harness.

Connected intelligence

Adaptive execution

Shared capabilities

Making enterprise datawork for people.

Leading the team.Building the platform.

Six applications.A smarter cloud footprint.

Intelligence shouldfeel intuitive.

The right answer deservesthe right interface.

Interfaces that adapt

Agents that work together

Engineering underneath it all

Curiosity, in code.

Databricks Genie Orchestrator

F1 Pit Wall

A builder’s mindset.A systems perspective.

University of Pittsburgh

AWS Certified Solutions Architect

JPMorgan Chase

Dope Doctors

Capital One

Cognistx

Let’s buildwhat’s next.↗

Intelligence,
engineered.

Complex systems.
Clear outcomes.

Beyond chat.
A full agent harness.

Making enterprise data
work for people.

Leading the team.
Building the platform.

Six applications.
A smarter cloud footprint.

Intelligence should
feel intuitive.

The right answer deserves
the right interface.

A builder’s mindset.
A systems perspective.

Let’s build
what’s next.↗