ABHAY
BHARDWAJ.
Let's talk
AI / PRODUCT / TECHNOLOGY

A bigger vision.A way forward.

I'm Abhay Bhardwaj. I bring AI automation, RAG, and product thinking together to help turn a business challenge into a practical next step.

See what I’m building Let’s grow together

QUESTION → POSSIBILITY → ACTIONCuriosity moves things forward.

Abhay Bhardwaj in a black suit and glasses
ABHAY BHARDWAJA builder’s mindset.
A product perspective.

01 / SELECTED WORK

Where ideas
become work.

02 / WHAT CAN I DO FOR YOU?

Your challenge.
Let’s move it forward.

Research the opportunity. Put AI to work. Bring people and priorities together. Here’s where I can help.

01

Market research & direction

Understand the landscape before committing. I can investigate competitors, customer needs, and product gaps, then turn the findings into a clearer set of opportunities.

Market scan · Opportunity brief
02

Practical AI implementation

Find where AI fits your business. I can help define the use case, map data and integration needs, and shape a prototype with a clear way to evaluate it.

Use-case assessment · Integration plan
03

AI tools built around your work

Turn a useful idea into a tool. AI assistants, RAG workflows, and custom prototypes can connect your information to the tasks your team actually needs to do.

AI assistants · RAG · Prototypes
04

Automation with a purpose

Identify the repetitive steps, connect the right APIs, and design workflows that reduce manual handoffs—with human review where it matters.

Workflow mapping · APIs · Agentic flows
05

Room for business growth

Investigate what is holding progress back: a product gap, a slow process, or an unclear customer experience. I can help turn those findings into focused actions to test.

Bottleneck analysis · Product priorities
06

Lead the work from the front

Bring customer needs, stakeholder decisions, and engineering priorities into one plan. I can help coordinate the work, review progress, and keep the team focused on the problem.

Requirements · Team coordination · Delivery

Start with what’s getting in the way.
We’ll work out the next useful step.

Bring me the problem Explore my technical approach ↓

03 / MY STORY

A technical mind.
A product lens.
My own path.

You have something you want to grow. I want to understand what’s standing in the way.

My background is in computer applications: a BCA from Arya College, Ludhiana, followed by an MCA at Lovely Professional University, which I’m currently pursuing. Alongside that foundation, I’ve been exploring AI, data systems, APIs, and the decisions that turn software into a useful product.

My strength is bringing a problem, technical understanding, and AI tools together. I’m still growing as a programmer. AI-assisted building lets me explore ambitious systems while I keep learning how they work, where they fail, and what needs to improve.

I want to build things with the potential to change how an industry works. WorkLiq AI and DNA are two ongoing examples: one explores how people analyze data; the other investigates how data systems handle access, trust, and reconstruction. I use AI to help turn those ideas into prototypes, alongside product decisions, experiments, and continual review.

At TechBridge, I work closer to the business side of that same process: understanding stakeholder needs, discussing solution direction with senior leadership, and guiding engineering work through priorities and delivery reviews.

That’s how I approach AI solutions consulting: understand the friction first. It might be repetitive work, information that’s hard to find, or a product direction that needs clarity. Then work out what to automate, integrate, or build—and how we’ll judge whether it helps.

PUTTING THAT APPROACH INTO PRACTICE

TechBridge

Business Analyst Intern
Product Management · Cybersecurity

I translate customer and stakeholder needs into documentation and delivery priorities, coordinate team workload and Jira sprints, and review development progress. Solution direction is discussed with senior leadership, keeping product requirements connected to engineering execution.

7 SEPTEMBER 2026 — PRESENT

WHERE I WANT TO TAKE THIS

My ambition is to build a company around technology that changes what people and businesses can do. I’m developing that foundation through product work, AI-assisted building, and research. If there’s a challenge we can tackle together, let’s make progress—and grow through the work.

THE FOUNDATION

MCA Lovely Professional University

2025–2027 · In progress

BCA Arya College, Ludhiana

2022–2025 · Completed

04 / EXPERTISE & APPROACH

AI fluency.
Product perspective.

My focus is AI solutions consulting: understanding the business,
shaping a technical approach, and making the next step actionable.

01

AI automation & agentic workflows

I work with LLMs, APIs, and data workflows to explore where automation can reduce repetitive work. I can help frame the use case, map the workflow, and plan an integration or prototype with clear boundaries for human review.

WORKFLOW DESIGNLLM ORCHESTRATIONAPIs
02

RAG & AI integrations

I have worked with retrieval-augmented generation pipelines and LLM integrations. My interest is in connecting AI to useful context: choosing what to retrieve, making source information accessible, and checking whether an answer addresses the original question.

RETRIEVALKNOWLEDGE WORKFLOWSOUTPUT REVIEW
03

Product thinking & technical delivery

My TechBridge work connects stakeholder needs with requirements, documentation, priorities, and engineering progress. I bring that product lens to technical discussions: what are we solving, who is it for, and what should happen next?

REQUIREMENTSJIRA & SPRINTSSTAKEHOLDER ALIGNMENT
04

Research & problem solving

I enjoy investigating questions that do not have an obvious answer. Market research helps me understand the context; technical prototyping helps me explore an approach. I value testing assumptions, documenting limits, and changing direction when the evidence calls for it.

MARKET ANALYSISPROTOTYPINGEVALUATION

FROM THE BLOG

The story
behind the work.

Explore the blog

OPEN TO OPPORTUNITIES & COLLABORATION.

Let’s grow.
Together.

A workflow that takes too much time. A product that needs direction. An AI idea you want to explore.
Tell me where you want to go. Let’s work out the next step together.

Message me on LinkedIn
Explore my GitHub
Back to selected work ↑

01 / WORKLIQ AI

From a question
to a clearer picture.

An AI data-analysis workspace I’m building for business users and data teams, from a file and a question to analysis they can inspect and share.

STATUS Under developmentFOCUS AI-assisted data work

The problem

A business user needs an answer they can explain. A data team needs a repeatable workflow, rather than another isolated request. WorkLiq aims to bring those needs into one place, instead of scattering the work across spreadsheets, code, and reports.

What the product brings together

The development build spans data import, natural-language questions, statistical analysis, visualizations, notebooks, and report generation. Data-quality assessment, anomaly investigation, and forecasting are also part of its analytical scope. Connected-data workflows and the end-to-end experience continue to be refined.

The principle behind it

Natural-language interaction is paired with conventional analytical computation. The aim is to make results inspectable and explainable, with attention to the data, the working, and the limits of an answer. A convincing sentence alone is not enough.

My contribution

I’m independently developing the product: defining the use cases, designing the workflow, implementing the platform, and evaluating the experience. The work brings together Python, SQL, APIs, and LLM integrations.

Where it stands

WorkLiq is under development. I’m continuing integration, reliability, and usability work toward launch. The public website introduces the product; the scope described here does not imply that every capability is already available there.

Explore WorkLiq at workliq.me (opens in a new tab)

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

Back to selected work ↑

02 / DNA — DATA SYSTEMS RESEARCH

Keeping data useful.
Across its lifecycle.

DNA is a metadata-centric data-systems research prototype exploring analytical access, integrity verification, and reconstruction as data moves through its lifecycle. The name is a software metaphor; this is not biological DNA storage.

STATUS Research prototypeFOCUS Data lifecycle & verifiability

The engineering problem

Data can remain on expensive, readily accessible storage because teams still need to ask questions of it. Moving it elsewhere changes the trade-offs around access, verification, and recovery. My research explores how those needs could be handled more flexibly across active and less frequently used data.

What I’m investigating

The prototype examines how metadata can support analytical retrieval, how results and data integrity can be checked, and how original data can be reconstructed when needed. The research considers the full data lifecycle, alongside storage, computation, and access trade-offs.

My work and evaluation

I develop prototypes and experiments, compare retrieved or reconstructed outputs against source data, and document the constraints. I’m evaluating which workloads benefit, where overhead grows, and where performance or scale limits remain. Evaluation is ongoing.

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.