Becoming a GenAI Engineer: Teja’s Inspiring Story

Artificial Intelligence and Data Science are reshaping the future of technology and innovation. In the rapidly evolving world of Artificial Intelligence, success stories like Balabommala Teja’s truly inspire aspiring learners. From a passionate student in Chennai to securing a role as a GenAI Engineer at Infosys, Teja’s path highlights the power of persistence, learning, and the right mentorship.

In this exclusive Alumni Talk with DataMites, Teja opens up about his experience, learning journey, challenges, and achievements that shaped his career in Data Science and Artificial Intelligence.

Exclusive Q&A: Teja’s Journey from Learner to GenAI Engineer

In this exclusive Q&A, Balabommala Teja shares his remarkable transformation from a passionate learner to a GenAI Engineer at Infosys. He opens up about the challenges he faced, the learning strategies that shaped his growth, and the real-world skills that helped him thrive in the AI domain. His journey offers valuable insights and motivation for aspiring AI professionals aiming to build a successful career in Data Science and Artificial Intelligence, shaping their future in next-generation technologies.

1: Hi Teja! Could you start by telling us a bit about yourself and your background?

Teja: Sure! I’m from Chennai, and I completed my graduation in 2019. I was always interested in Artificial Intelligence and Data Science. My uncle recommended DataMites, saying it’s one of the best institutes for AI and Data Science training. That’s how my journey began.

2: What motivated you to join DataMites for your Data Science course?

Teja: I was deeply curious about how AI works and how data drives intelligent systems. DataMites offered the perfect mix of practical training and expert mentorship, so I joined their offline classes in Bangalore.

3: How was your learning experience at DataMites?

Teja: It was excellent! The sessions were well-structured, and the mentors were very patient and knowledgeable. The Python foundation made it easier for me to understand advanced concepts like AI and Machine Learning algorithms.

4: Did you take online or offline sessions?

Teja: I chose offline weekday classes in Bangalore. The classroom environment helped me engage better with trainers and peers.

5: What topics or modules did you find most challenging?

Teja: The machine learning algorithms were initially tough for me. It took around 4–5 months to fully grasp them, especially neural networks. But once I understood how they work, it became one of my favorite areas.

6: How did you manage your studies while doing part-time work?

Teja: It was all about consistency. I used to attend classes in the morning, work part-time during the day, and study for about 2–3 hours every night. I believe that consistent effort matters more than long study hours.

7: What kind of projects did you work on at DataMites?

Teja: I completed two capstone projects, including one on fraud detection in banking transactions. I worked on them independently, researching and implementing solutions on my own. Those projects helped me immensely during my Infosys interview.

8: Did your DataMites projects help during interviews?

Teja: Definitely! The capstone projects were the highlight of my resume. Interviewers asked detailed questions about them, and explaining my project confidently made a strong impression.

9: How did you get your first job opportunity at Infosys?

Teja: It was an off-campus interview. Interestingly, it was my first interview, and I got selected! DataMites’ placement support and mock interviews prepared me very well.

10: How was the Infosys interview process?

Teja: There were three rounds aptitude, technical, and HR.

• The aptitude round was moderately tough.
• The technical round focused on Python, machine learning algorithms, and selecting the right algorithm for a given problem.
• HR was straightforward.

11: Did you receive placement or resume-building support from DataMites?

Teja: Yes, the placement assistance team (PAT) helped me create my resume, which I used for the Infosys interview. Their feedback made my resume more professional and job-ready.

12: What kind of work do you do now as a GenAI Engineer at Infosys?

Teja: I work in the AI Excellence Group, developing chatbots, automation solutions, and private language models similar to ChatGPT for top global clients. It’s exciting to see how companies are building their own LLMs (Large Language Models) today.

13: Did Infosys provide any GenAI-related training after you joined?

Teja: Yes. During the first three months, Infosys trained us in neural networks, LLMs, and AI automation tools, which helped us transition smoothly into project work.

14: What skills do you think are most important for AI professionals today?

Teja: Strong knowledge of Python, Machine Learning algorithms, and Neural Networks is essential. These form the base for working with Artificial Intelligence and GenAI models.

15: What advice would you give to freshers starting their Data Science or AI journey?

Teja: Be patient and keep practicing. Don’t get discouraged if you fail a few mock interviews. Each one builds your confidence. At DataMites, I failed my first three mock interviews, but those experiences made me stronger and prepared me for real-world challenges.

16: Where are you currently based?

Teja: I’m working from Electronic City, Phase 2, Bangalore at the Infosys campus. It’s a great environment for learning and innovation.

17: Any final message for DataMites learners?

Teja: Believe in the process. DataMites gives you everything you need knowledge, projects, and interview support. Just stay consistent and confident. Your hard work will pay off!

Refer these articles:

• How Abhishek Landed a Career as an AI/ML Engineer?
• From Software Developer to AI Expert: Ashish Nayak’s Journey to Success
• From Graduate to AI/ML Engineer: Santhosh’s Journey

Key Insights: Teja’s Journey to GenAI Engineer

Discover how Balabommala Teja transformed from an aspiring learner into a skilled GenAI Engineer at Infosys, mastering advanced AI technologies and real-world applications with expert guidance from DataMites.

1. Teja’s Background:

• Hails from Chennai and graduated in 2019.
• Always had a strong interest in Artificial Intelligence and Data Science.

2. Choosing DataMites:

• Joined DataMites Bangalore after a family recommendation.
• Selected offline weekday classes for better engagement.

3. Learning Experience:

• Found the Python-based foundation helpful for advanced learning.
• Praised DataMites for structured sessions, skilled mentors, and hands-on projects.

4. Challenges Faced:

• Found Machine Learning algorithms initially difficult.
• Took about 4–5 months to understand neural networks and algorithm selection.

5. Study Approach:

• Balanced studies with a part-time job.
• Dedicated 2–3 hours daily for consistent practice and revision.

6. Capstone Projects:

• Completed two independent projects, including one on fraud detection in banking.
• Chose to work solo to gain deeper understanding and technical independence.

7. Interview Preparation:

• DataMites’ mock interviews were crucial for confidence building.
• Learned to handle project-based and algorithm-selection questions effectively.

8. Placement Journey:

• Got his first off-campus interview at Infosys and cleared it successfully.
• The PAT team helped refine his resume and interview readiness.

9. Infosys Interview Process:

• Consisted of three rounds — Aptitude, Technical, and HR.
• Focused mainly on Python, Machine Learning algorithms, and problem-solving skills.

10. Current Role at Infosys:

• Working as a GenAI Engineer in the AI Excellence Group.
• Develops chatbots, automation systems, and private LLMs (Large Language Models) for top clients.

11. Training at Infosys:

• Underwent a 3-month internal training on neural networks and LLMs.
• Gained exposure to AI automation and enterprise-level AI applications.

12. Skills That Matter:

• Strong grasp of Python, Machine Learning, and Neural Networks is essential for AI professionals.
• Algorithm understanding forms the foundation for AI and GenAI roles.

13. Key Advice to Freshers:

• Consistency and patience are key.
• Failing mock interviews is part of the learning process—use them to grow.
• Practice daily to build confidence in coding and concept application.

14. Current Location:

• Based in Electronic City, Bangalore, working at the Infosys campus.

15. Message for Learners:

• Trust the process and guidance at DataMites.
• Hands-on practice, real-time projects, and mock interviews are the pillars of success in AI careers.

Refer these articles:

• AI Innovations in Bangalore: How Local Startups Are Changing the Game
• Is There a Growing Demand for Artificial Intelligence in Hyderabad?
• How Chennai’s Tech Industry Is Embracing Artificial Intelligence

Teja’s story is a powerful reminder that with dedication, the right guidance, and consistent effort, anyone can turn their passion for Artificial Intelligence into a successful career. His journey from DataMites student to GenAI Engineer at Infosys showcases how industry-focused learning and hands-on projects can open doors to incredible opportunities in the world of Data Science and AI.

According to Markets and Markets, the global chatbot market was worth around USD 5.4 billion in 2023 and is projected to reach USD 15.5 billion by 2028, growing at a remarkable 23.3% CAGR. Similarly, the Artificial Intelligence market is witnessing exponential growth, driving innovation across industries and creating massive demand for skilled professionals. The Data Science field is also expanding rapidly, empowering organizations to make data-driven decisions and unlocking new opportunities in analytics and automation.

As one of the leading institutes offering artificial intelligence courses in India, DataMites ensures that learners gain both theoretical knowledge and practical, hands-on experience. For those who prefer offline learning, DataMites provides classroom training across major cities in India, including Delhi, Bangalore, Pune, Chennai, Hyderabad, Mumbai, Coimbatore, Ahmedabad, Kolkata, Kochi, Nagpur, Chandigarh, Jaipur, Indore, Vijayawada, Bhubaneswar, Ranchi, and Jamshedpur.

DataMites offers an extensive artificial intelligence course in Bangalore, ideal for both beginners and professionals. With training centers across Kudlu Gate, BTM Layout, Marathahalli, and nearby areas, the institute ensures flexible learning options, expert mentorship, and strong placement assistance — helping learners kickstart or accelerate their careers in AI.

As artificial intelligence continues to transform industries, Hyderabad stands out as a growing hub for AI innovation. Whether you’re a student exploring new opportunities, a tech enthusiast, or a professional aiming to upskill, this is the perfect time to step into the AI field. Enrolling in the right artificial intelligence course in Hyderabad can unlock exciting career paths and equip you with the hands-on skills, tools, and guidance essential for success in today’s data-driven era.