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Tell Me About Yourself?
"I'm a First Class AI graduate..."
Journey into software development took off during Softwire internship
Working on real projects in agile teams showed me I thrive in collaborative environments
Learn from experienced developers while contributing meaningfully
"What I discovered about myself is..."
I'm naturally curious - always wondering "what if we could do this better?"
This curiosity has driven me through various university projects - AI models, web applications, hardware systems
"On the personal side..."
I love traveling and meeting people from different cultures
VP/Treasurer for university societies taught me diverse perspectives make teams stronger
I'm excited to bring that fresh perspective to FX Digital to create a impact
why do you want to work for fx digital
what really sparked my interest was the workshop held at University of Kent
learned about the founders Matthew and Tom's journey - their story of building something innovative in the media tech space
Saw exciting projects, met team, impressed by scope/impact
What I love most is that your values match how I like to work
you encourage Curiosity: Love "what if?" mindset - used in film platform project
The team collaboration and mentorship aspect
When i was at the workshop i could really feel the mentorship culture and got to understand what I need to be a successful developer and the journey ahead.
Real Impact: Work with major media brands on apps millions use
Connected TV + modern tech
Flow: Workshop → Values alignment → Growth → Impact
Tell me about a time you faced a problem
Problem: Brain tumor detection project - initially getting low accuracy of 70-75%
How I broke it down:
Step 1: Analyzed the model first
Tried to optimize accuracy through model changes
Didn't work - realized problem wasn't with the model
Step 2: Looked at the data
Found the real problem - dataset had many data biases
Imbalance of classes (some tumor types had way more examples than others)
Step 3: Researched solutions
Looked up different ways to minimize data bias
Found techniques like data augmentation and preprocessing
Step 4: Tested solutions systematically
Tried different approaches
Found ones with highest accuracy
Chose best combination
Result: Managed to get accuracy up to 92%
What are your weeknesses?
"Can overthink problems and solutions"
Spend too much time thinking about details when simple solution would work
Get stuck analyzing every option before starting
Double-edged sword: Good (Thorough thinking + good solutions) Bad (Takes too long + can get stuck)
Eg: Film production platform - kept thinking about different UI designs when first version already worked fine
To overcome this:
Set time limits for planning
Get feedback early and improve as I go
Ask teammates when overthinking
Short, clear, actionable!
What's your biggest strength?
Problem-solving + Persistence
Eg: Brain Tumor Detection Project - Discovered data bias issues.
My approach:
Researched multiple solutions before choosing best
Kept going through the multiple failed models knowing that I will eventually meet the desired accuracy
What are you hoping to get out of this internship
Real Experience: Hands-on work on actual projects users interact with
Professional environment vs university assignments
Learn from Experts: Pick up best practices from experienced developers
New technologies + clean, maintainable code
Professional Growth: Full development lifecycle + agile teams
Balance technical quality with business needs
Experience with Connected TV + media industry
Contribute Value: Prove I can be valuable team member
Not just learning - want to add real value to projects
Future Opportunity: Hopefully continue beyond 3 months
Earn opportunity to keep growing with FX Digital
Flow: Real experience → Learning → Growth → Contributing → Future
Describe a time you had to learn something new quickly
Situation: IoT fall detection project for elderly care
Had to learn hardware development from scratch in short timeline
No experience with Arduino, accelerometers, gyroscopes, or C++
Challenge: Understanding sensor data interpretation + hardware integration
Completely different from web development I was used to
Learning Approach: Used multiple resources simultaneously
Lectures + detailed notes
YouTube tutorials to see hardware in action
Arduino documentation + sensor datasheets
Key Strategy: Learn by doing
Started with simple sensor readings first
Gradually built up to complex fall detection algorithms
When stuck - try different approaches and test immediately
Result: Working system with 90% accuracy in short timeline
Real-time monitoring + multiple connected devices
Learning: When learning something completely new under pressure
Combine multiple resources + hands-on experimentation vs just theory
Tell me more about your Softwire internship - what did you actually work on?
Main Work: Media streaming web application for client
Built React components for playback controls and navigation menus
Fixed UI responsiveness issues across different screen sizes
Improved user interface elements like buttons and form layouts
Worked on cross-browser compatibility for consistent experience
Frontend Technologies: JavaScript (React) + CSS styling
Component lifecycle management and state handling
Integration with Python APIs for data fetching
Git workflows + code reviews + testing practices
Daily Work:
Stand-ups with team + assigned frontend tasks
Pair programming with senior developers on UI components
Collaborated with UX designers on interface improvements
Frontend-Specific Learning:
Working with large React codebases vs university projects
Proper component structure and CSS organization
Debugging frontend issues and browser developer tools
How to ask right questions about UI/UX decisions
Frontend Impact:
UI bug fixes that directly improved user experience
Optimized component rendering that improved page performance
Helped document frontend onboarding for future interns
How do you handle disagreements in a team?
Philosophy: Disagreements are healthy - means people care about outcome
Approach: Listen first + understand their viewpoint before defending mine
Example: Film production platform - database structure disagreement
I wanted complex/scalable design, teammate wanted simple/fast
Asked them to explain reasoning - they had valid points about deadline
Resolution: Found middle ground
Used simpler structure for MVP but designed for future expansion
Delivered on time + client was happy
Key Principle: Focus on what's best for project, not being right
Sometimes compromise, sometimes one convinces the other
Always listen and communicate openly
Bottom Line: We're all working toward same goal
Disagreements = different ideas about how to get there
questions to ask
What does a typical day look like for an intern on the engineering team?
What does success look like for an intern in this role?
What do you enjoy most about working at FX Digital?
What are the next steps in the process?