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ABHAY BHARDWAJ

AI / PRODUCT / TECHNOLOGY

Complex problems.A way forward.

I connect business needs with AI, product thinking, and technical delivery. From the first question to the next practical step.

Discover my work
BASED IN INDIA. OPEN TO WHAT'S NEXT.SCROLL TO EXPLORE

01 / SELECTED WORK

Curiosity.
With something
to show for it.

Products in progress. Questions worth pursuing.
A closer look at what I'm building.

02 / HOW I CAN HELP

The right question
changes everything.

A business challenge rarely arrives with a neat technical brief.
That's where the work begins.

01

Put AI to work.

Find where AI can make a useful difference. Explore workflow automation, agentic systems, and integrations shaped around your actual needs.

AI ADOPTIONWORKFLOW AUTOMATIONSOLUTION PLANNING
02

Give your product direction.

Translate customer and stakeholder needs into clear requirements, meaningful priorities, and an actionable delivery plan. Connect what the business needs with what the team builds.

REQUIREMENTSPRODUCT THINKINGDELIVERY COORDINATION
03

Find a clearer way forward.

Investigate your market, understand the alternatives, and challenge assumptions. Use research and technical understanding to make the next decision more informed.

MARKET RESEARCHCOMPETITOR ANALYSISPROBLEM FRAMING

03 / THE PERSON BEHIND THE WORK

Technical mind.
Product lens.
Human purpose.

I want to build things that help people move forward.

For me, that starts with understanding the problem, not reaching for a tool. I enjoy connecting the business context with the technical possibilities—and taking responsibility for the next step.

I'm currently working in cybersecurity product management at TechBridge, developing WorkLiq AI, and pursuing an MCA. Each gives me a different way to ask better questions and turn ideas into something useful.

My longer-term ambition is to build a company around practical solutions. Right now, I'm building the judgment, experience, and relationships to get there.

CURRENTLY

TechBridge

Business Analyst Intern
Product Management

Connecting customer needs, product decisions, and engineering delivery. Working with senior leadership to shape solutions and guide priorities through execution.

SEPTEMBER 2026 — PRESENT

TOOLS FOLLOW THE PROBLEM.

Python & SQL / LLM integrations & RAG / APIs & data workflows / Requirements & research / Jira & delivery coordination

THE FOUNDATION

MCA Lovely Professional University

2025–2027 · In progress

BCA Arya College, Ludhiana

2022–2025 · Completed

GOOD THINGS START WITH A CONVERSATION.

What's your
next move?

A business challenge. A product idea. An opportunity.
Let's find out what we can make possible.

Start a conversation
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01 / WORKLIQ AI

From a question
to a clearer picture.

A platform in development for exploring tabular data through natural-language questions and analytical workflows.

STATUS Under developmentFOCUS AI & data analytics

The problem

Useful business questions can get stuck between a spreadsheet and the time or technical knowledge needed to explore it. WorkLiq is my ongoing effort to reduce that friction.

My contribution

I'm independently developing the product, connecting user needs with workflow design, implementation, and evaluation. The work brings together Python, SQL, APIs, and LLM integrations.

The thinking behind it

Making analysis easier is only useful if the resulting experience is dependable. A central part of the work is investigating the reliability and limitations of AI-assisted analysis.

Where it stands

The product is under development. Features and launch plans are evolving; production readiness, customer traction, and independently validated performance are not claimed.

This overview keeps internal implementation details and unreleased materials private. The project artwork on this site is conceptual, not a product screenshot.

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02 / DATA SYSTEMS RESEARCH

Some questions
deserve a deeper look.

Exploring how data systems can better support integrity, retrieval, and recovery.

STATUS Ongoing researchAPPROACH Prototyping & evaluation

The question

What could make data systems more resilient? This work explores that broad problem through system design, prototyping, and examining the limits of different approaches.

What I'm learning

The process demands more than a promising idea: assumptions need testing, constraints need documenting, and results need careful interpretation. That research discipline is an important part of what I want to bring to practical work.

Current status

A related patent application has been filed with Lovely Professional University. No patent grant is claimed, and the current research may extend beyond the scope of that application.

Technical mechanisms, unpublished results, and application documents remain private. The artwork is an abstract visual, not an architecture diagram.