How Abhishek Landed a Career as an AI/ML Engineer ?

From dreaming about working with cutting-edge technologies to actually building intelligent systems that power real-world applications  Abhishek’s journey is a true example of how the right training, persistence, and guidance can turn ambition into achievement. Once a curious learner exploring the world of data, Abhishek is now an AI/ML Engineer at ExamRoom.AI, contributing to innovative proctoring solutions powered by artificial intelligence.

Insightful Q&A: Abhishek Shares His AI/ML Career Journey

Abhishek, a proud DataMites alumnus, opens up about his inspiring journey from learning data science fundamentals to becoming an AI/ML Engineer at ExamRoom.AI.

Q1: Can you tell us about your current job profile at ExamRoom.AI?

I’m currently working as an Associate AI & ML Engineer at ExamRoom.AI, a company specializing in AI-powered online exam proctoring solutions. My role involves working on computer vision and NLP-based projects. I mainly focus on developing AI models that enhance proctoring accuracy using advanced machine learning and deep learning algorithms.

Q2: What exactly does ExamRoom.AI do?

ExamRoom.AI is a proctoring-based platform that provides online examination solutions for clients worldwide. The company uses AI and computer vision technologies to ensure secure, reliable, and scalable digital exam monitoring systems.

Q3: Which course did you enroll in at DataMites, and what was its duration?

I joined the Data Science course at DataMites around two years ago. The program included a 3-month intensive training period followed by a 6-month internship. This combination of theory and practical learning helped me gain a solid foundation in AI and ML concepts.

Q4: What topics were covered during your DataMites course?

The course covered a wide range of topics such as:

• Python programming and libraries like Numpy and Pandas
• Statistics for data analysis
• Data visualization using Matplotlib and Seaborn
• Machine Learning algorithms — regression, classification, clustering, and reinforcement learning
• Deep Learning fundamentals, including ANN (Artificial Neural Networks) and CNN (Convolutional Neural Networks)

Q5: What kind of projects did you work on during the internship?

During my internship, I completed four capstone projects and one client-related project. These projects were based on:

• Regression and classification
• Clustering analysis
• CNN-based image recognition

Q6: How did DataMites help you in your job search and placement process?

DataMites provided end-to-end placement support through the Placement Assistance Team (PAT). They guided me in improving my resume, preparing for interviews, and highlighting my technical skills effectively.I also received IABAC and NASSCOM FutureSkills certifications, which added significant value to my profile and helped me stand out during job applications.

Q7: How did you land your job at ExamRoom.AI?

It was through the DataMites Placement Assistance Team (PAT). They shared an opening for a Data Annotator role at ExamRoom.AI. After clearing the interview, I was trained as an AI & ML Trainee for six months. Based on my performance, I was promoted to Associate AI & ML Engineer.

Q8: What was the interview process like at ExamRoom.AI?

The interview was primarily theoretical, with a few basic coding questions. They focused on topics such as:

• Regression algorithms
• Loss functions
• Activation functions
• My approach to EDA (Exploratory Data Analysis) during capstone projects

Q9: What tools and technologies do you use in your current role?

I mainly work on computer vision projects. Some of the tools and algorithms I frequently use include:

• YOLO (You Only Look Once) for object detection
• ResNet and FaceNet for embedding generation and feature extraction

These tools help in improving model performance for AI-driven proctoring systems.

Q10: How was your learning experience with DataMites trainers?

The trainers were extremely supportive and knowledgeable. After every module, they conducted review and doubt-clearing sessions to ensure we fully understood the topics. Their practical teaching approach helped me grasp complex AI concepts easily.

Q11: What advice would you give to aspiring AI & ML professionals?

Start with the fundamentals of Python and then move on to statistics and data visualization. Once you’re comfortable, dive into machine learning algorithms, loss functions, and activation functions.Keep practicing through projects and case studies, as practical experience plays a major role in understanding real-world applications.

Refer these below articles:

• From Software Developer to AI Expert: Ashish Nayak’s Journey to Success
• From Graduate to AI/ML Engineer: Santhosh’s Journey
• Asharani’s Success Story: From Billing Specialist to AI/ML Engineer

Abhishek’s Key Insights on Building a Career in AI/ML

His experience highlights the essential skills, learning strategies, and career steps needed to build a strong foundation in the ever-evolving field of Artificial Intelligence and Machine Learning.

• Career Achievement: Abhishek is currently working as an Associate AI & ML Engineer at ExamRoom.AI, focusing on computer vision and NLP-based projects.
• Company Overview: ExamRoom.AI is an AI-driven online proctoring platform that ensures secure and scalable digital examinations through advanced computer vision technologies.
• Education at DataMites: Abhishek completed a Data Science course at DataMites, which included 3 months of training and a 6-month internship, offering both theoretical and practical learning.
• Core Learning Topics: His coursework covered key concepts such as Python programming, statistics, data visualization, machine learning algorithms, and deep learning architectures (ANN & CNN).
• Project Experience: During his internship, Abhishek worked on four capstone projects and one client project, applying skills in regression, classification, clustering, and CNN-based image recognition.

Read these below articles:

• What is Retrieval-Augmented Generation (RAG)?
• Small Language Models are the Future of Agentic AI
• Multimodal Neurons in Artificial Neural Networks

Abhishek’s journey from a DataMites learner to an AI & ML Engineer at ExamRoom.AI is a perfect example of how structured learning and mentorship can transform one’s career. His experience highlights the importance of hands-on projects, expert guidance, and consistent practice in mastering AI skills. According to Precedence Research, The global natural language processing market size accounted for USD 30.68 billion in 2024 and is predicted to increase from USD 42.47 billion in 2025 to approximately USD 791.16 billion by 2034, expanding at a CAGR of 38.40% from 2025 to 2034.

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