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Salman S. - Fullstack Developer, Prompt Engineering, NLP

My 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.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • Fullstack Developer

    5 years

  • lovable AI

    2 Years

  • AI Development

    4 Years

  • langchain

    1 Year

Additional skills

Direct hire

Potentially possible

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Experience Highlights

VAPI Appointment Setter on Healthcare EHR Using n8n

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.

Lead Capture, Automated Email & VAPI with n8n, HubSpot and Brevo

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.

AI Voice Agent for Inbound and Outbound Call

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.

Goodgoblin.ai - ReactJS, NodeJS, MongoDB

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.

AI Research Agent

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.

Education

  • University of Karachi

    Bachelor of Computer Science (BCompSc) in

    2018-01-01-2021-01-01

  • Institute of Business Administration

    Master of Computer Science (MSCS) in

    2023-01-01-2025-01-01

Languages

  • English
  • Urdu

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