hj.HARSHIT JAINSay hello ↗

STRATEGIST. ENGINEER. CURIOUS BY DEFAULT.

Harshit
Jain.

I find the friction.
Then build the system.

I connect process intelligence, AI agents and cloud engineering — from understanding how work happens to building what comes next.

See what I’m building Meet the person ↓

AI STRATEGY / ENGINEERING / DEPLOYMENT

A PERSONAL EXPLORATION OF WHAT COMES NEXT↓

01 / THE PERSON

CONSULTANT BY PROFESSION.
BUILDER BY INSTINCT.

I work where
business processes
meet intelligent systems.

I’m Harshit, an AI strategist and engineer working at the intersection of process intelligence, software and cloud infrastructure.

My work starts with the process: where work slows down, where context gets lost, and what people actually need. Engineering is how I turn those questions into something useful.

Alongside my professional work, I’m exploring personal AI, connected devices and market research through projects of my own.

PREVIOUSLYKPMG
NOWCelonis
My experience ↗

02 / THE WORK

Ideas worth
getting my hands into.

Personal explorations in intelligence and automation. Different questions. The same drive to build.

PERSONAL INTELLIGENCE / 001AURAVOICECONTEXTDEVICESSOFTWARE × DEVICES × YOUR ENVIRONMENT
AI + IOTConcept & prototyping

An assistant beyond the screen.

Project AURA01

A personal AI assistant that connects voice, software and the physical environment. Exploring a dedicated device and a home automation hub.

Agent architectureVoiceIoT
Inside the project

The problem

Personal devices and home automation live in separate interfaces. AURA explores how one assistant could coordinate them with shared context.

My role

Product concept, system architecture and prototype planning.

Current focus

Defining the hardware, device integrations and boundaries for a first working prototype.

MARKET INTELLIGENCE / 002
A RESEARCH WORKFLOW
01 / INPUTDATA
02 / EXPERIMENTTEST
03 / LEARNEVALUATE.
DATA → BACKTESTS → RISK CONTROLS
AI + MARKET RESEARCHIn development · Paper-first

Research before execution.

Axiom02

A market research and trading agent built around historical data, backtesting and evaluation. Paper execution comes before live trading.

PythonPostgreSQLValkeyPodman
Inside the project

The problem

Market research, historical testing and execution need a repeatable workflow with explicit risk controls.

My role

Agent engineering, data workflows, container infrastructure and deployment preparation.

Current focus

Data quality, backtesting, model evaluation and production readiness. Live trading is disabled. Axiom is the working portfolio name.

Explore the repository ↗

03 / THE APPROACH

From the right question
to a working system.

Strategy, engineering and deployment are connected parts of the same job.

01

Understand the problem

Map the process, identify useful KPIs and find where an intervention can make a difference.

02

Design the intelligence

Translate business context into agent workflows, MCP integrations and evaluation criteria.

03

Build the foundation

Connect data and services with Python, SQL, Microsoft Fabric and Power Platform.

04

Make it work in the world

Deploy on Azure and AWS, with containerized services and operational readiness in mind.

TOOLS I WORK WITH

Celonis · Azure · AWS · Python · Microsoft Fabric · MCP

04 / SAY HELLO

What could
work better?