From Mechanical Engineer to AI/ML Engineer: Uday Bhaskar’s Journey

Meet Uday Bhaskar, a mechanical engineer who dared to step beyond his core discipline and dive headfirst into the world of Artificial Intelligence and Machine Learning. In a world where data is the new fuel, Bhaskar’s journey from traditional engineering to cutting-edge AI roles is not just inspiring, it's proof that with the right mindset, mentorship, and determination, anything is possible. If you're a professional considering a career switch into tech or simply curious about how non-coders break into AI, this story is for you.

Q&A with Uday Bhaskar: How He Successfully Switched Careers into AI/ML

In this Q&A, Bhaskar shares his inspiring journey from mechanical engineering to becoming a successful AI/ML engineer.

Q1: Can you tell us a bit about yourself and your background?

Sure! My name is A. Uday Bhaskar. I’m from Andhra Pradesh and I completed my Diploma and B.Tech in Mechanical Engineering. Even though I studied a non-technical stream, I grew interested in Artificial Intelligence and Machine Learning and decided to make a career switch.

Q2: What motivated you to move from mechanical engineering to data science and AI?

While I was doing my B.Tech, I noticed that even students from Computer Science backgrounds didn’t have strong programming skills but were still getting hired. That made me think if they can do it, why can’t I? That thought, along with my curiosity and commitment, pushed me to explore AI and ML seriously.

Q3: Did you have any programming experience before starting your data science journey?

No, not really. I had only heard about programming concepts but didn’t know how things actually worked. My knowledge was zero in programming before I began this journey.

Q4: How did you find DataMites and decide to enroll?

I searched on Google for the best institutes offering quality training in data science. DataMites stood out. I went through their brochure and syllabus. It was impressive. That’s when I decided to join their Hyderabad offline batch.

Q5: How was your learning experience at DataMites?

It was a great experience in Datamites. Our trainer, Nikhil Reddy Sir, made learning easier and intuitive. Initially, it was a bit difficult, but I used resources like YouTube, ChatGPT, and blogs from Towards Data Science and GeeksforGeeks to simplify things. Over time, I got comfortable with the subjects.

Q6: How was your experience learning Python, coming from a mechanical background?

Python was actually very easy to learn! It's like writing in English. Once you get a grasp on logic, it becomes straightforward. It’s one of the easiest languages out there and widely used not just in AI but also in IoT, automation, and even cybersecurity.

Q7: And what about statistics? Was that easier for you?

Yes, statistics was easier for me since I come from a mechanical engineering background. We deal with complex mathematical equations in thermodynamics and other subjects, so the transition into statistics felt natural.

Q8: Was this your first interview, and how did it go?

Yes, this was actually my first interview, and I successfully cleared it. I didn’t face any prior rejections.

Q9: What kind of questions were asked during your interview?

The questions were mostly basic in concept but highly focused on real-time scenarios. They tested my practical understanding, such as how I’d handle last-minute client changes or resolve real project challenges.

Q10: Can you give an example of a client project you worked on?

Yes, my client project was with ABC Tech, where I worked on ITSM ticket classification using machine learning. They were more interested in how I approached the problem and implemented the solution.

Q11: What, according to you, made you successful compared to your peers?

I believe it’s my determination and commitment to the goal. While others got distracted or discouraged due to delays, I stayed focused and waited for the right opportunity.

Q12: Many say freshers don’t get opportunities because companies want experienced candidates. What's your take?

That’s a misconception. If a company invites you for an interview, they already know you’re a fresher. You shouldn’t use “lack of experience” as an excuse for failure. It’s important to learn from mistakes and try again.

Q13: Any message for others from non-CS backgrounds who want to get into AI and Data Science?

Yes! If you are committed and curious, you can definitely make it. Your background doesn’t matter as much as your determination to learn. Use available resources, work on real-world projects, and be consistent. The results will follow.

Refer these below articles:

• From PhD to NLP Data Scientist: Samir’s Career Reinvention Journey
• From Digital Marketer to AI Engineer – Amar Sharma’s Inspiring Journey
• From Biology to AI Engineer – Success Story of Kotha Raga Pujitha

Key Findings from Uday Bhaskar’s career switch into AI/ML Engineer

Uday Bhaskar’s journey from mechanical engineering to becoming an AI/ML engineer is a powerful example of perseverance and self-belief. Here are the key takeaways from his inspiring career transition.

• Non-CS Background Can Still Succeed: Bhaskar transitioned from a mechanical engineering background into AI/ML, proving that a CS degree is not a prerequisite.
• Motivation Came from Observing Peers: His realization that even CS students lacked strong programming skills yet secured jobs motivated him to pursue AI/ML.
• Started With Zero Programming Knowledge: He began his journey without any prior experience in coding or computer science fundamentals.
• Chose DataMites for Structured Learning: After researching online, Bhaskar selected DataMites for its comprehensive syllabus and enrolled in their offline batch in Hyderabad.
• Used Multiple Learning Resources: In addition to classroom training, he leveraged YouTube, ChatGPT, and blogs like Towards Data Science and GeeksforGeeks for self-study.

Read these below articles:

• Exploring the Growing Demand of Artificial Intelligence in Vadodara
• What’s Driving the Demand for Artificial Intelligence in Guwahati?
• The Rising Demand for Artificial Intelligence in Mangalore

Uday Bhaskar’s journey is a powerful example of how dedication and strategic learning can enable anyone to break into the field of data science, regardless of their academic background. His successful transition from mechanical engineering to an AI/ML Engineer at Verse Innovations(One India) highlights that, with the right mindset and resources, the possibilities are limitless. According to ABI Research, the global Artificial Intelligence (AI) software market is projected to reach USD 174.1 billion by 2025 and is expected to grow at a Compound Annual Growth Rate (CAGR) of 25% through 2030.

DataMites is a global training institute offering a comprehensive Artificial Intelligence course in Hyderabad. Recognized by Analytics India Magazine as one of the top AI training providers in India alongside prestigious institutions such as IIT and IIM, DataMites is widely respected as a trusted leader in AI education. Upon successful course completion, students receive globally recognized certifications from IABAC and NASSCOM FutureSkills, significantly enhancing their credibility and employability in the job market.

DataMites Artificial Intelligence Institute in Hyderabad, located in the thriving tech hub of Madhapur, places students at the center of India’s AI revolution. With the AI industry poised for significant growth, Datamites institute's comprehensive AI program offers a strategic pathway for aspiring professionals to build successful careers in this rapidly evolving field.