Freelancers using PostgreSQL in Montreal
Freelancers using PostgreSQL in Montreal
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Alexander Ketchakmadze
Montreal, Canada
Senior Full-Stack Engineer & Designer
$100k+
Earned
2x
Hired
5.0
Rating
44
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Senior Full-Stack Engineer & Designer
$7.5K+ earned
18
Contra | Project Cost Calculator
18
356
0
Lead engineer for a SaaS marketing site
0
124
0
Avansai
0
46
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PostgreSQL
(1)
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Meng Xia
Montreal, Canada
Tech expert: Fullstack, DevOps, ML
$50k+
Earned
1x
Hired
5
Followers
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Tech expert: Fullstack, DevOps, ML
0
Billing and Payment system for a unicorn startup
0
30
0
Statically typed PostgreSQL queries in TypeScript
0
45
0
Decodeswitch - Codeswitching language identification
0
35
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PostgreSQL
(2)
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Siddharth Kharwar
pro
Montreal, Canada
Full-stack dev: React, Node, & Bots. Let’s build.
New to Contra
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Full-stack dev: React, Node, & Bots. Let’s build.
0
Built DocuPow, an AI-powered document processing and audit platform that automates data extraction, validation, and workflow management. The system streamlines high-volume document handling with intelligent search, structured data pipelines, and real-time status tracking reducing manual effort and improving accuracy for business operations.
0
77
0
The Unassisted Video Customer Identification Process (VCIP) is a fully automated digital identity verification solution that allows users to complete KYC remotely without a live agent. It uses AI, liveness detection, and secure integrations to verify identity through video, ID capture, and biometric matching. The system guides users through permissions, data entry, document validation, and a real-time video session with PIN and face checks. AI-powered OCR extracts data from IDs, while facial recognition ensures identity consistency and fraud prevention. This approach improves user experience, reduces operational costs, and enables faster, scalable onboarding. Overall, it delivers a secure, compliant, and self-service verification process for businesses and users.
0
10
0
Developed a cutting-edge resume parsing application that leverages the power of Large Language Models (LLMs) to extract information from resumes with superior accuracy compared to traditional Optical Character Recognition (OCR) methods. Key Features: LLM Driven Extraction: Utilized advanced LLMs to intelligently understand and interpret the semantic meaning within resumes. Structured Output: Transformed unstructured resume data into a clean, structured format for easy integration with Applicant Tracking Systems (ATS), databases, and other HR software.
0
24
0
MediSight POC Documentation
0
49
PostgreSQL
(1)
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Iqra Imran Syed
Montreal, Canada
Branding & Web Design Studio
8
Followers
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Branding & Web Design Studio
0
Personal Calendar
0
6
0
website design for a passion project: L'Archive
0
49
3
I’ve been exploring editorial design lately, and I’m honestly in love. Using this wedding photographer passion project as a playground to experiment and tell a story through layout🤍
5
3
133
0
Liora Atelier
0
4
PostgreSQL
(1)
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Gabriel Maheu
Montreal, Canada
Backend Security Engineer | API & File Upload Security
New to Contra
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Backend Security Engineer | API & File Upload Security
0
Security Decision Engine for Malware Scanning Development of a security decision engine for malware scanning workflows. Features: • analyze scan results from security engines • generate risk verdicts and actions • provide security recommendations • integrate decision logic into backend workflows
0
18
0
File & URL Security Scanner for Web Applications Development of a file and URL security scanner designed for web applications. Capabilities: • scan uploaded files for malware • analyze URLs for potential threats • provide clear risk verdicts • integrate scanning into SaaS workflows
0
14
0
Secure File Upload & Malware Scanning API Implementation of a secure file upload pipeline for SaaS applications. Includes: • file validation and size restrictions • malware scanning integration • API endpoint protection • secure storage workflow
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26
0
Secure file upload malware scanning system for SaaS applications. This project demonstrates a secure pipeline for analyzing uploaded files before they reach application storage. Key capabilities: • malware detection using multiple scanning engines • risk classification and verdict system • AI-assisted decision layer • secure file upload validation • downloadable PDF security reports Built for SaaS teams that need safe file upload handling and visibility into potential threats.
0
23
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