Arham Malik
Backend & AI engineer who ships systems fast and scale.
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Arham is ready for their next project!
This is a classic enterprise academic portal, but built solid. It uses Web Forms, ASP.NET, C#, and SQL Server. The main challenge was role based access control because you have admins, faculty, TAs, and lab demonstrators all needing different permissions. I designed a three tier architecture with stored procedures and optimistic concurrency control so data doesn’t get messed up when people edit at the same time. Over 200 users per semester use it for task assignments and progress tracking. It’s not flashy, but it works perfectly.
For more details, please visit: https://arham-nexus.vercel.app/work/talabportal
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Skill Swap is a peer to peer learning platform where you can be both a student and a teacher. I built the backend with Java Spring Boot, real time chat with WebSockets, and video calls with WebRTC. The matching algorithm finds people based on skills, ratings, and availability. You can switch roles anytime. It also has a trust based review system so fake reviews don’t ruin it. This was an MVP, but it proved that real time learning communities can work really well.
For more details, please visit: https://arham-nexus.vercel.app/work/skillswap
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This is a native Android app I built with Kotlin and Firebase. It connects tourists with verified local guides in real time. You open the app, see nearby guides, book a tour, and then you can track each other’s location live using Google Maps. I also added offline support because travel doesn’t always have perfect internet. Over 100 active users ended up using it,during the MVP. The best part? Battery usage was optimized so your phone doesn’t die halfway through the day. Really proud of how smooth it turned out.
For more details, please visit: https://arham-nexus.vercel.app/work/raaheraast
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Yeah, this one is a bit out there, but it was super fun. I built an AI that actually understands memes. It looks at the image and the text together using PyTorch, TensorFlow, and GPT 4. I used early and late fusion techniques to combine vision and language, plus Tesseract OCR to grab text from the image itself. The model hits over 95% accuracy on meme classification. It’s not your typical corporate project, but it shows how multimodal AI can understand humor, culture, and context. Definitely one of my favorite experiments.
For more details, please visit: https://arham-nexus.vercel.app/work/memechecker
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This was a really cool EdTech project. The goal was to automate grading and student verification. I built a Flask backend that hooks into NLP models, speech to text, text to speech, and even computer vision with OpenCV. Students can give live demos, and the system checks their face, asks them questions out loud, and grades everything automatically. No more manual grading or worrying about cheating. It’s 100% automated, and teachers love how transparent it is. The AI responds in under a second, so it feels almost magical.
For more details, please visit: https://arham-nexus.vercel.app/work/evaluasysai
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Avenix is basically the biggest thing I built solo. It’s an enterprise AI platform that actually feels smart and fast. I used LangChain agents, real time WebSockets, and a whole lot of TypeScript and Python to make it work. The whole idea was to let businesses have real conversations with their data, with memory and context that doesn’t break. I delivered it three months early, and the client was over the moon. Queries got 40% faster. Honestly, it was a beast, but I loved every minute.
For more details, please visit: https://arham-nexus.vercel.app/work/avenix
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This was my final year project, and it’s personal. unHinged is a 2D psychological survival game built in Godot. Instead of just health bars, you manage a fear meter that changes the visuals, sound, and even the environment around you. The maps are procedurally generated to feel like fragmented memories. I coded everything in GDScript, used state machines for AI, and optimized performance with object pooling so it runs at 60 FPS even on older laptops. It’s dark, emotional, and tries to represent mental health authentically. People really connected with it.
For more details, please visit: https://arham-nexus.vercel.app/work/unhinged
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SnapReceipt AI is basically a smart receipt scanner. You take a photo of a receipt, and my system uses OCR plus LLM prompt engineering to pull out the merchant, total, date, and category. No manual typing. I built the backend with Django and used MongoDB so the data schema can be flexible because receipts come in all shapes and sizes. It cuts down about 90% of manual expense tracking work. The dashboard lets you search and export everything. Super practical for anyone tired of spreadsheets.
For more details, please visit: https://arham-nexus.vercel.app/work/snapreceiptai
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Imagine having over 100 different data sources all over the place. That was the problem Apex Analytics solved. I built this big data platform on Google Cloud using BigQuery and ETL pipelines that clean, transform, and unify everything. The frontend is React based, so stakeholders can see real time KPIs without waiting forever. Queries come back in under a second even with millions of records. It felt like solving a giant puzzle, but the result was a super reliable analytics hub that the entire company trusted.
For more details, please visit: https://arham-nexus.vercel.app/work/apexanalytics
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AdSync Pro:
This one was all about automating ad creation. Marketers spend way too much time writing copy and setting up campaigns, so I built AdSync Pro with Django and Next.js. The backend handles LLM prompt pipelines that generate ad text automatically, and the frontend gives you a clean dashboard to manage everything. I also added real time analytics because who doesn’t want to see their campaign performance instantly? It ended up managing over 100 campaigns and automated about 90% of the manual work. Pretty satisfying.
For more details, visit: https://arham-nexus.vercel.app/work/adsyncpro
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