Amaan’s Journey: Verification Analyst to AI Developer

Artificial Intelligence and Data Science are reshaping the future of technology, but breaking into this field can seem daunting for freshers without a coding background. Amaan Rathore’s journey from a verification analyst to a successful AI Developer at Kingsmen Realty is a perfect example of how determination, proper training, and continuous learning can lead to success in this evolving field. In this success story, Amaan shares his experiences, challenges, and tips for aspiring AI professionals.

Exclusive Q&A: Amaan’s Journey from Verification Analyst to AI Developer

In this exclusive Q&A, Amaan Rathore shares his journey from working as a verification analyst to becoming an AI Developer at Kingsmen Realty. He discusses the challenges he faced while transitioning to a tech career, the skills and projects that helped him succeed, and the lessons he learned along the way. His insights provide practical guidance and inspiration for aspiring AI developers, data scientists, and professionals looking to build a career in Artificial Intelligence.

1. Can you introduce yourself and share your background?

I’m Mohammad Amaan Rathore from Kashmir. I completed my graduation from Bangalore City University and initially worked as a verification analyst for US-based clients. After one year, I decided to switch my career to IT and joined DataMites for a Data Science and Artificial Intelligence course.

2. What motivated you to pursue AI and Data Science?

I wanted a career in IT that allowed me to work on advanced technologies like AI and machine learning. The structured program at DataMites helped me transition smoothly into this field.

3. When did you start your AI journey?

I began my AI and Data Science journey in September 2023 after completing my job in verification.

4. Did you have any prior programming experience?

No, I had no background in programming before joining DataMites. I learned Python from scratch, which is widely used in AI and Data Science.

5. How difficult was it to learn Python as a beginner?

Python is an easy and powerful language. I could learn all the basics in about a week and started applying it to AI and Data Science projects immediately.

6. How did you practice coding and problem-solving?

I used platforms like HackerRank to practice coding challenges. This helped me develop practical skills and problem-solving abilities.

7. What projects did you work on during your course?

 I completed four major projects:

• Traffic Sign Detection
• Image Classification
• Chest X-ray Pneumonia Detection
• Food Classification (10 categories)

8. Did you work on any AI-related models professionally?

Yes, I worked part-time with Outlier, where I trained large language models (LLMs) and also developed an AI Assistant model for screen monitoring tasks.

9. How was your learning experience at DataMites?

The curriculum was structured, clear, and focused on practical skills. My mentor guided me from basics to advanced topics in AI, including NLP and Computer Vision.

10. How did you handle interview preparation?

I focused on both projects and basics of AI, Python, machine learning, and neural networks. Mock interviews were very helpful to understand what recruiters expect.

11. How many mock interviews did you attend?

I attended around 10 mock interviews over 15 days. Even if I failed, it helped me learn and improve for future interviews.

12. How important is resume preparation for AI job applications?

Extremely important. I prepared my resume in LaTeX format because most companies’ AI systems screen resumes. Including projects is crucial for freshers.

13. How did you approach multiple job applications?

I applied daily on LinkedIn, submitting nearly 100 applications per day. Persistence is key; even if you face rejections, continued effort eventually pays off.

14. Do you think the AI syllabus at DataMites was enough to become an AI Developer?

Yes, the syllabus covered all necessary aspects, including AI fundamentals, NLP, Computer Vision, and Deep Learning. It gave me a strong foundation to succeed professionally.

15. How do you plan to grow in your AI career?

Currently, I aim to grow in my current company, Kingsmen Realty, and explore opportunities to expand my skills further. I believe in working hard and letting destiny guide the rest.

16. What advice would you give to aspiring AI developers?

Focus on learning the basics thoroughly, practice coding consistently, work on projects, and never be discouraged by initial failures. Persistence and the right mentorship can make a huge difference.

Refer to these articles:

• From Fresher to AI Developer: Shreya’s Inspiring Journey
• From Learner to SQL Developer: Rakshitha’s Journey
• Shaping the Future with AI: Insights from Vamsi - AI Data Lead

Key Findings from Amaan’s Career Journey: Verification Analyst to AI Developer

Discover how Amaan Rathore transitioned from a verification analyst to an AI Developer at Kingsmen Realty, gaining expertise in AI, Data Science, and real-world projects with the guidance of DataMites.

• Career Transition Success: Amaan successfully transitioned from a verification analyst to an AI Developer, showcasing that non-technical professionals can enter AI with proper training.
• No Prior Programming Needed: Even without any prior coding experience, Amaan learned Python and other AI tools effectively within weeks.
• Importance of Structured Learning: The DataMites AI and Data Science program provided a structured, practical, and mentor-guided learning path.
• Hands-on Project Experience: Working on projects like traffic sign detection, image classification, pneumonia detection, and food classification was crucial in developing real-world AI skills.
• Exposure to Advanced AI: Amaan gained practical experience with NLP, Computer Vision, Deep Learning, and LLM training through both coursework and part-time work.
• Persistence in Job Applications: He applied to numerous jobs daily on platforms like LinkedIn, demonstrating the importance of consistent effort in job hunting.
• Resume Preparation Matters: A well-prepared LaTeX-format resume, highlighting projects and skills, significantly improves chances in AI job applications.
• Mock Interviews as a Learning Tool: Participating in mock interviews helped Amaan understand common AI interview questions, refine answers, and improve confidence.
• Focus on Basics for Freshers: A solid understanding of Python, AI fundamentals, and machine learning basics is sufficient for entry-level AI roles.
• Supplemental Learning Resources: Using platforms like HackerRank and ChatGPT enhanced problem-solving skills and clarified AI concepts.
• Mentorship is Key: A strong mentor guided Amaan throughout the learning journey, making complex concepts easier to grasp.
• Career Growth Mindset: Amaan emphasizes growth within the organization while remaining open to learning new AI technologies over time.
• Persistence Over Failures: Facing multiple rejections and failed interviews is normal; persistence eventually leads to successful placements.
• Importance of Projects in Interviews: Interviewers focus heavily on candidate projects, their implementation, challenges faced, and outcomes.
• Adaptability to AI Evolution: Continuous learning is essential, as AI technologies (like Transformers) evolve rapidly over time.

Refer to these articles:

• How to Choose Best Institute for AI and ML Course in Bangalore?
• Why Students Prefer Offline Artificial Intelligence Training in Chennai?
• Is There a Growing Demand for Artificial Intelligence in Hyderabad?

Amaan Rathore’s journey highlights that a career in AI is achievable even without a prior programming background. Structured learning, practical project experience, mentorship, and persistence are the key ingredients for success. For freshers aiming to become AI Developers, his story serves as both inspiration and a roadmap. According to Precedence Research, the global Artificial Intelligence market was valued at USD 538.13 billion in 2023 and is expected to expand at a CAGR of 19%, reaching nearly USD 2,575.16 billion by 2032. This immense growth underscores the vast opportunities in AI, and journeys like Amaan’s exemplify how professionals can leverage this potential.

DataMites provides a complete artificial intelligence course in Bangalore, tailored for beginners as well as working professionals. Serving learners from areas like Kudlu Gate, BTM Layout, Marathahalli, and nearby regions, the institute offers flexible schedules, expert guidance, and dedicated placement assistance, helping students launch or elevate their careers in AI.

Artificial Intelligence is reshaping industries, and Hyderabad has emerged as a key hub for AI innovation. For students, tech enthusiasts, and working professionals, enrolling in artificial intelligence courses in Hyderabad is the perfect way to gain practical skills and industry-ready knowledge. With a branch in Madhapur, these courses offer expert guidance, practical hands-on projects, and dedicated career support, empowering learners to succeed in today’s data-driven landscape.