Freelancers using OpenAI in MontrealFreelancers using OpenAI in Montreal
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Siddharth Kharwar's avatar
Siddharth Kharwar
proMontreal, Canada
Full-stack dev: React, Node, & Bots. Let’s build.
New to Contra
Full-stack dev: React, Node, & Bots. Let’s build.
Cover image for What if your business had
What if your business had a developer who could also automate the boring parts of the business? That’s essentially what I build. I combine full-stack development + AI + automation + APIs to turn manual processes into systems that run on their own. For example: 📄 Documents → AI extraction → structured data 🤖 Customer questions → AI agent → qualified lead 💳 Payment → webhook → automated workflow 📞 Customer → voice/SMS → CRM update 🧠 Resume → LLM → structured candidate profile I’ve worked on everything from AI document platforms and resume parsing to automated identity verification and custom API integrations. I’m not interested in adding AI just because it’s trendy. I want the AI to actually save time, reduce manual work, or make the product better. If you’re building something ambitious, I would love to hear what you’re working on. #AI #Automation #AIAgents #FullStack #SaaS #APIs #SoftwareDevelopment
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Cover image for The Unassisted Video Customer Identification
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.
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Cover image for Developed a cutting-edge resume parsing
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.
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Cover image for Comprehensive POC Documentation Services for MediSight
MediSight POC Documentation
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