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Krutarth Oza's avatar
Krutarth Oza
Ahmedabad, India
Product designer simplifying complex systems for businesses
1x
Hired
5.0
Rating
6
Followers
Product designer simplifying complex systems for businesses
Cover image for Product Recommendation Application
Product Recommendation Application
1
15
Cover image for Edoconline - A Fintech Company
Edoconline - A Fintech Company
1
40
Cover image for E-Commerce Mobile Application
E-Commerce Mobile Application
1
5
Cover image for Fashion App design with prototype
Fashion App design with prototype
1
6
NLTK(1)
Laksmi Wulandiari's avatar
Laksmi Wulandiari
Indonesia
Data Analyst and Visualization Expert
Data Analyst and Visualization Expert
Cover image for Hotel Review Sentiment Analysis
Hotel Review Sentiment Analysis
1
10
Cover image for CUSTOMER GAIN PREDICTION DASHBOARD
CUSTOMER GAIN PREDICTION DASHBOARD
1
18
Cover image for ELECTRONIC SALES PERFORMANCE DASHBOARD
ELECTRONIC SALES PERFORMANCE DASHBOARD
0
13
Cover image for UI DESIGN | green cycle
UI DESIGN | green cycle
0
7
NLTK(1)
Arham Malik's avatar
Arham Malik
Rawalpindi, Pakistan
Backend & AI engineer who ships systems fast and scale.
New to Contra
Backend & AI engineer who ships systems fast and scale.
Cover image for This was a really cool
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
0
33
Cover image for This is a classic enterprise
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
0
12
Cover image for Skill Swap is a peer
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
0
25
Cover image for This is a native Android
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
0
27
NLTK(1)
Ciro 's avatar
Ciro
Buenos Aires, Argentina
Go to sleep, may your sweet dreams come true...
260
Followers
Go to sleep, may your sweet dreams come true...
Cover image for Sentiment Analysis of IMDB Movie Reviews
Sentiment Analysis of IMDB Movie Reviews
2
2
Cover image for Heritage Soil Station: A NZ Website
Heritage Soil Station: A NZ Website
5
9
Cover image for Gardens of the World: Full-Stack Web App/Website
Gardens of the World: Full-Stack Web App/Website
6
10
Cover image for Folktales Around the World: Full-Stack Web App/Website
Folktales Around the World: Full-Stack Web App/Website
6
6
NLTK(1)
USMAN AKINTOBI's avatar
USMAN AKINTOBI
Nigeria
Making Sense of Data to Drive Decisions
5.0
Rating
6
Followers
Making Sense of Data to Drive Decisions
Cover image for Context-Aware Fintech User Feedback Classification
Context-Aware Fintech User Feedback Classification & Urgency Detection Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation. What was built: Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo: Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases
1
32
Cover image for DSP Asset Managers
DSP Asset Managers
2
26
Cover image for Housing Dashboard
Housing Dashboard
1
4
Cover image for Energy Dashboard
Energy Dashboard
1
7
NLTK(1)
Venkata Anirudh Parakala's avatar
Venkata Anirudh Parakala
Fort Lauderdale, USA
AI & ML Engineer | Automation & Data Solutions
AI & ML Engineer | Automation & Data Solutions
Cover image for Geographical Understanding of Twitter Health Topics using NLP
Geographical Understanding of Twitter Health Topics using NLP
1
9
Cover image for AI Calorie and Nutrition Estimator Development
AI Calorie and Nutrition Estimator Development
0
2
Cover image for Sneaker Authenticity Classifier Demo
Sneaker Authenticity Classifier Demo
0
1
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Axel Gusto's avatar
Axel Gusto
Paris, France
Fractional CPO/CTO for HealthTech & AI Startups
Fractional CPO/CTO for HealthTech & AI Startups
Cover image for MIND — AI Medical Billing
MIND — AI Medical Billing Assistant MIND automates medical billing coding for French physicians. The system reads clinical notes and suggests the correct CCAM codes in real time — eliminating manual lookup and reducing billing errors. Built solo from scratch: — NLP pipeline for clinical note analysis — Secure architecture for sensitive medical data — Go-to-market strategy targeting independent practitioners Stack: Python, NLP, cloud-native, HIPAA & GDPR-compliant data architecture. Role: Sole founder — product, engineering, and distribution.
0
33
Cover image for Cloud Infrastructure & DevOps Engineering Designed
Cloud Infrastructure & DevOps Engineering Designed and deployed cloud infrastructure for early-stage startups — from bare VPS to containerized production environments. Delivered across 2 client engagements: — GCP infrastructure setup and configuration — Docker containerization and orchestration with Kubernetes — Linux server hardening and production deployment — CI/CD pipeline implementation — Monitoring and incident response setup Each engagement ran 2–4 weeks, fully remote, delivered autonomously from architecture to production handoff. Stack: GCP · Docker · Kubernetes · Linux · VPS
0
16
Cover image for 2 Peer-Reviewed Publications — ML
2 Peer-Reviewed Publications — ML for Biomedical Classification Co-authored two peer-reviewed papers on applied machine learning and deep learning in clinical and biological contexts, working with CNRS, CEA, and Université Côte d'Azur. Paper 1 — Bioinformatics: Introduced PD-CR, a novel primal-dual classification method outperforming SVM, Random Forests, and PLS-DA on cancer metabolomics datasets (lung & brain tumors). Real clinical data from university hospitals of Nice and Montpellier. Paper 2 — IEEE/ACM Transactions on Computational Biology and Bioinformatics: Non-invasive live cell cycle monitoring using a supervised autoencoder on Quantitative Phase Imaging data. Achieved 98.6% classification accuracy on 80,000+ cells. Both projects used real clinical datasets. No simulations.
0
32
Cover image for MailSwap — AI Email Classifier
MailSwap — AI Email Classifier for Shopify MailSwap automatically classifies incoming merchant emails — refunds, support, billing, shipping — and routes them to the right team without human triage. Built end-to-end: — Custom ML classifier trained on e-commerce email data — Shopify App integration — Production deployment with confidence scoring Achieved 94%+ classification accuracy in production. Role: Sole founder — model training, backend engineering, Shopify App Store launch.
3
134
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