- Company/Startup Name: Aqeeq Technologies
- Role: Software Developer Intern (AI, ML, and Data Science domain)
- Duration: 6 months
- Stipend: Yes (option to convert into full-time at the end)
Round 1: Technical MCQ
They came to our College. Round 1 was 50 questions for 20 minutes under physical supervision. The questions were from the domains
- DBMS
- OS
- OOPS
- Pandas
- ML
- CNN
- Aptitude (only 5 questions)
- GK (only 2 question)
- Statistics
The questions were of moderate level and were not twisted.
Round 2: HR Round
This was just to understand about the candidate general question were asked such as
- Who is your Role Model?
- Tell me about your family background?
- What was/is your role in the projects you have done till now?
- Why do you want to Join?
- Everyone got selected in this round.
Round 3: Technical
- What is gradient desecnt? and Stochastic Gradient descent?
- What is difference between Classification and Regression?
- What is Pricision, Accuracy and Recall?
- How do you measure accuracy of LLM output?
- What LLM's come to your mind?
- What is the difference between Pandas and Numpy? Why do two different Libraries exist?
- What is Encapsulation In OOP?
- What is 1NF and 2NF?
- What is the difference between HAVING and WHERE Clause in SQL?
- What is SJF? RR? FCFS?
- What is RAG?
- Why is RAG used?
- What is Vector DB? How does it works?
- How can using RAG reduce Hallucination in the LLM Output? Or does it not?
- What is Langchain?
- What Technical mistakes did you make during the projects you built? and how did you improve them?
After the technical questions, I was asked general questions regarding availability.