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Full-Stack AI Engineer with 3+ years of end-to-end experience building production AI agent and LLM-powered systems, taking features from idea through deployment. Experienced across Next.js/React, TypeScript/Node.js, PostgreSQL, Docker, and AWS. I’ve shipped RAG pipelines, MCP tool integrations, prompt engineering, and multi-agent architectures—especially in real-world, high-volume AI voice/automation products. I’m comfortable owning architecture, performance, and reliability while integrating multiple third-party systems.…Full-Stack AI Engineer with 3+ years of end-to-end experience building production AI agent and LLM-powered systems, taking features from idea through deployment. Experienced across Next.js/React, TypeScript/Node.js, PostgreSQL, Docker, and AWS. I’ve shipped RAG pipelines, MCP tool integrations, prompt engineering, and multi-agent architectures—especially in real-world, high-volume AI voice/automation products. I’m comfortable owning architecture, performance, and reliability while integrating multiple third-party systems.

Muhammad Sharjeel Ansar

Full Stack Developer, AI Engineer, Software Engineer, +2

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Full-Stack AI Engineer with 3+ years of end-to-end experience building production AI agent and LLM-powered systems, taking features from idea through deployment. Experienced across Next.js/React, TypeScript/Node.js, PostgreSQL, Docker, and AWS. I’ve shipped RAG pipelines, MCP tool integrations, prompt engineering, and multi-agent architectures—especially in real-world, high-volume AI voice/automation products. I’m comfortable owning architecture, performance, and reliability while integrating multiple third-party systems.…Full-Stack AI Engineer with 3+ years of end-to-end experience building production AI agent and LLM-powered systems, taking features from idea through deployment. Experienced across Next.js/React, TypeScript/Node.js, PostgreSQL, Docker, and AWS. I’ve shipped RAG pipelines, MCP tool integrations, prompt engineering, and multi-agent architectures—especially in real-world, high-volume AI voice/automation products. I’m comfortable owning architecture, performance, and reliability while integrating multiple third-party systems.

Available to hire

Full-Stack AI Engineer with 3+ years of end-to-end experience building production AI agent and LLM-powered systems, taking features from idea through deployment. Experienced across Next.js/React, TypeScript/Node.js, PostgreSQL, Docker, and AWS.

I’ve shipped RAG pipelines, MCP tool integrations, prompt engineering, and multi-agent architectures—especially in real-world, high-volume AI voice/automation products. I’m comfortable owning architecture, performance, and reliability while integrating multiple third-party systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Work Experience

Senior Software Engineer - Agentic AI Development at CCRIPT Agency

May 1, 2026 - Present

Built a production AI voice receptionist for healthcare clinics from scratch using Vapi, Next.js, and Python. Currently handles 150+ calls/day with a roadmap to scale to 72M calls/year. Reduced per-call operating cost by 80% through redesigning the voice AI pipeline architecture and optimizing call orchestration logic. Integrated the voice agent with clinic EHR systems by building a custom MCP tool layer to automate scheduling and improve data sync reliability. Engineered Python-based background workers for asynchronous call processing to support sustained call volume growth. Reduced system prompt size from ~22K to 10K tokens via targeted prompt engineering to improve live-call latency and lower context window load. Improved conversational accuracy through a structured knowledge base and iterative prompt engineering cycles.

Full-Stack Software Engineer at Accident Payments

December 1, 2025 - May 1, 2026

Owned end-to-end development of 5 CRM portals for distinct sales and retention teams. Designed normalized PostgreSQL schemas on Supabase and engineered real-time state consistency using Supabase Realtime across all portals. Reduced manual lead routing and client data operations by building AI automation pipelines with Zapier, Make, and n8n, including real-time lead capture and Slack notifications. Integrated Aloware and Aircall dialers into CRM portals for click-to-call and automated workflows. Shipped KPI dashboards for team-level sales visibility.

Software Engineer at Invitrex

May 1, 2025 - December 31, 2025

Optimized API architecture for a restaurant management platform used by 50+ restaurants across Europe, improving data retrieval and processing performance via efficient algorithms/data structures. Contributed to a production AI agent calling system using ElevenLabs for automated customer call handling. Built full-stack features for an e-commerce web application using React with a focus on scalable frontend-backend integration.

Software Engineer at Objex

January 1, 2024 - April 30, 2025

Improved system response time by 50% by developing and deploying TypeScript/NestJS microservices on GCP with algorithm optimization. Engineered RAG-capable AI agent systems with multi-agent communication via Google Pub/Sub to coordinate distributed AI workflows. Reduced CRM search latency from 10 seconds to under 100ms by building real-time WebSocket connections for data retrieval. Managed microservice routing on AWS API Gateway and later migrated to Apigee, improving observability, tracing, rate limiting, and analytics.