A life till now.

After B.Tech, I got placed at Reliance Industries Limited, Surat — and I was truly happy. It was the very first time I started earning. I had no idea then that money isn’t the only thing.

Soon I realised something important: I did like studying Mechanical Engineering, and maybe I would have loved it even more if the work had been about designing. But maintenance? That wasn’t the life I wanted for the rest of my years. For the first time, I was clear about what I did not want. What came next was still a question mark.

So I started figuring it out. I took courses in Machine Learning and Data Science. Then COVID arrived — and with longer work-from-home days, I suddenly had space to learn deeply. I entered that world again… and something clicked.

I figured out what I had sensed while choosing my B.Tech field: Computer Science — logic, building with code, learning from data — was what I truly wanted to do for the rest of my life.

The challenge was real. My degree was Mechanical. My job was in the same field, and it paid well. Switching felt difficult. In India I couldn’t simply jump into a master’s in CS without GATE — and GATE expected a CS background I didn’t have. So I planned for the US / Canada, built a portfolio of projects, and strengthened my theoretical foundation along the way.

That preparation helped me earn admissions to universities in the US, Canada, and the UK. Then my Canada visa was rejected — “field mismatch.” For a while it felt like the door had closed and I was stuck.

And then Jio introduced a new programme in AI & Data Science. I already had admissions material, an SOP, and projects from applying elsewhere — and that preparation became my bridge into Jio Institute. A closed door. A new beginning.

After mechanical engineering, factory floors at Reliance, and a year diving deep into AI at Jio Institute, this is the chapter where the switch became my everyday work. I moved to Mumbai and joined Fynd as a Machine Learning / AI Engineer — the path I had been building toward, finally under one job title. Today I continue in that role as a Senior Machine Learning / AI Engineer, still building, still learning, and still enjoying the craft.

In simple words: I teach computers to learn from large amounts of data, so software can make smarter decisions on its own. Instead of writing every rule by hand, we build systems that notice patterns, predict what might happen next, and get better with experience — a bit like how people learn, but at the scale of millions of data points.

Day to day, that means turning messy real-world information into models, checking whether those models actually help, and shipping the improvements into products people use. I’m still curious, still hands-on, and still learning — only now with a clearer seat at the table.