A CV can tell you where I studied, where I work, and which technologies I have used. I wanted a place to explain how those pieces connect: the problems I’m interested in, the way I build, and the direction I want to take.
That is why I created this website. It is a home for my work, a record of what I am learning, and an invitation to start a useful conversation.
The space I want to work in
I’m drawn to the point where a business problem becomes a technical decision. A team is losing time to repetitive work. Information exists, but finding an answer is difficult. A product has potential, but the next priority is unclear.
I want to understand that situation before choosing a tool. Sometimes the right next step is market research or clearer requirements. Sometimes it is an API integration, an automation workflow, a retrieval-augmented generation system, or an AI prototype. The useful question is what would help the people doing the work.
My background in computer applications gives me a technical foundation. My current Business Analyst internship in Product Management at TechBridge gives me a view of stakeholder needs, priorities, team coordination, and engineering delivery. I’m also pursuing my MCA at Lovely Professional University. These experiences are shaping the way I approach problems.
Building with AI, and taking responsibility for the result
My programming skills are still growing. I use AI as a building partner: to explore approaches, develop software, work through unfamiliar territory, and iterate on ideas that would otherwise take me longer to investigate.
That makes ambitious projects more accessible to me. It also gives me a responsibility to understand what is being built. I need to question an output, test behavior, examine limitations, and make decisions about what to change. Generating code is one part of that process; judging whether a system addresses the problem is another.
I want to build technology with the potential to change how an industry works. I’m developing the judgment to pursue that ambition through useful problems, practical experiments, and honest evaluation.
Two projects that bring the direction into focus
WorkLiq AI is an AI data-analysis workspace I am developing for business users and data teams. Its development scope brings data questions, analytical work, notebooks, and reports into one workflow. The goal is to help people reach results they can inspect, explain, and share. Integration, reliability, and usability work are continuing toward launch.
My DNA data-systems research explores a different problem: keeping data queryable, verifiable, and reconstructable across its lifecycle. I’m using prototypes and experiments to investigate analytical access, integrity, and recovery alongside storage and computation trade-offs. A related patent application has been filed with LPU; the research remains ongoing.
These projects help me connect AI-assisted building with product decisions and a research mindset. Their public overviews explain the problems and my contribution while keeping proprietary mechanisms and unpublished work private. You can explore both projects on the portfolio.
What I want this website to make clear
I can help investigate a market, frame an AI use case, build a prototype, map an automation workflow, or bring stakeholder needs and engineering priorities into a clearer plan. The starting point is a real challenge and a conversation about what progress would look like.
The “How I can help” section turns that into concrete areas of support. My story explains the background behind them. Together, they should give you a better sense of whether we could work well together.
Over time, I want to build a company around practical technology solutions. Right now, I’m building that foundation through product work, technical exploration, research, and collaboration.
Why I’m writing here
This blog gives me a place to document decisions and lessons as the work develops. I plan to write about AI implementation, product thinking, building with AI, and the questions that come up along the way. I’ll share what I can explain responsibly, including the limits of what I know.
If you are exploring an AI idea, thinking through a product challenge, or looking for someone who can connect business needs with technical possibilities, I would like to hear what you’re working on.
Let’s start a conversation. Let’s make progress—and grow through the work.