Freelancers using NLTK
Freelancers using NLTK
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Krutarth Oza
Ahmedabad, India
Product designer simplifying complex systems for businesses
1x
Hired
5.0
Rating
6
Followers
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Product designer simplifying complex systems for businesses
1
Product Recommendation Application
1
15
1
Edoconline - A Fintech Company
1
40
1
E-Commerce Mobile Application
1
5
1
Fashion App design with prototype
1
6
NLTK
(1)
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Laksmi Wulandiari
Indonesia
Data Analyst and Visualization Expert
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Data Analyst and Visualization Expert
1
Hotel Review Sentiment Analysis
1
10
1
CUSTOMER GAIN PREDICTION DASHBOARD
1
18
0
ELECTRONIC SALES PERFORMANCE DASHBOARD
0
13
0
UI DESIGN | green cycle
0
7
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(1)
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PATHAKHRK INC
Kangra, India
Creative tech solutions in AI and cybersecurity
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Creative tech solutions in AI and cybersecurity
0
AI Website Chatbot - Lead Capture & Sales Qualification
0
1
0
AI Sales Agent for Instagram Lead Management
0
5
0
Multilingual AI Sales Agent - Lead Management & CRM Automation
0
3
0
Medical Diagnostics AI App - Health Platform
0
3
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(1)
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Arham Malik
Rawalpindi, Pakistan
Backend & AI engineer who ships systems fast and scale.
New to Contra
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Backend & AI engineer who ships systems fast and scale.
0
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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33
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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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12
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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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25
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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
0
27
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Ciro
Buenos Aires, Argentina
Go to sleep, may your sweet dreams come true...
260
Followers
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Go to sleep, may your sweet dreams come true...
2
Sentiment Analysis of IMDB Movie Reviews
2
2
5
Heritage Soil Station: A NZ Website
5
9
6
Gardens of the World: Full-Stack Web App/Website
6
10
6
Folktales Around the World: Full-Stack Web App/Website
6
6
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USMAN AKINTOBI
Nigeria
Making Sense of Data to Drive Decisions
5.0
Rating
6
Followers
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Making Sense of Data to Drive Decisions
1
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
2
DSP Asset Managers
2
26
1
Housing Dashboard
1
4
1
Energy Dashboard
1
7
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(1)
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Venkata Anirudh Parakala
Fort Lauderdale, USA
AI & ML Engineer | Automation & Data Solutions
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AI & ML Engineer | Automation & Data Solutions
1
Geographical Understanding of Twitter Health Topics using NLP
1
9
0
AI Calorie and Nutrition Estimator Development
0
2
0
Sneaker Authenticity Classifier Demo
0
1
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Axel Gusto
Paris, France
Fractional CPO/CTO for HealthTech & AI Startups
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Fractional CPO/CTO for HealthTech & AI Startups
0
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.
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33
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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
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16
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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.
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3
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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