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Schedule Interview NowMy name is Salman S. and I have over 5 years years of experience in the tech industry. I specialize in the following technologies: Chatbot Integration, Generative AI, AI Chatbot, LLM Prompt Engineering, AI Agent Development, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: VAPI Appointment Setter on Healthcare EHR Using n8n, Lead Capture, Automated Email & VAPI with n8n, HubSpot and Brevo, AI Voice Agent for Inbound and Outbound Call, Goodgoblin.ai - ReactJS, NodeJS, MongoDB, AI Research Agent, etc.. I am based in Karachi, Pakistan. I've successfully completed 26 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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The VAPI Appointment Setter leverages advanced voice AI and seamless N8N integration to streamline appointment scheduling directly within Electronic Health Records (EHR) systems. By automating the process, from patient identification to provider selection, healthcare professionals can efficiently manage appointments, reduce administrative workload, and enhance patient experience. With configurable voice options like Elevenlabs and Cartesia and real-time data updates, this solution empowers clinics and hospitals to optimize their operations and deliver organized, responsive care.
This integrated workflow combines N8N, HubSpot, and Brevo to streamline lead capture, automated email delivery, and voice calling via VAPI. New leads are captured and instantly updated in HubSpot, while personalized emails are sent through Brevo using pre-configured templates. Automated VAPI calls ensure timely follow-up, and Slack integration keeps your team informed in real time. The result is a seamless process for managing leads, enhancing engagement, and improving operational efficiency.
Features AUTOMATED INBOUND & OUTBOUND CALLS: > Instantly answer calls and qualify leads with AI Agents > 24/7 availability ensures no missed opportunities. > Integrates with GHL for efficient lead management. > Schedule & execute mass outreach campaigns. > Personalize calls with dynamic data for increased engagement. > Track call performance and optimize campaigns for better ROI. ADVANCED FEATURES: > Voice recognition & NLU > Integration with CRMs & marketing platforms. Experience enhanced efficiency, increased lead conversion rates, & reduced operational costs with our AI Voice Agent.
While searching for amazing ideas, I came across the founder of goodgoblinai. He expressed enthusiasm in building something truly remarkable for American students. His concept and outlook caught my attention, and I began collaborating with him on his project. After working on the project for about six months, I hired more engineers to the team, made some fantastic structures, and streamlined the process so that we could finish the app on schedule in March 2024. In essence, I oversaw the developers.
The automation simplifies content creation for social media. Input: Perplexity AI is given a prompt and a URL. Analyze: It creates a summary, comment insights and research data. Store: The results go to a Google Doc. Transform: Three GPT agents turn the content into LinkedIn, Twitter, and Facebook posts.
Bachelor of Computer Science (BCompSc) in
2018-01-01-2021-01-01
Master of Computer Science (MSCS) in
2023-01-01-2025-01-01