sharjeel mansha
AI Systems Builder | Automation, AI Agents, CRM & Full-Stack
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I designed and built a RAG-powered AI knowledge platform that lets businesses search documents, websites, databases, and internal knowledge using natural language.
The system processes content, creates embeddings, stores them in a vector database, retrieves the most relevant information, and uses AI to generate accurate, source-grounded answers.
My services include: RAG development, document ingestion, semantic search, vector database setup, OpenAI/LLM integration, internal knowledge assistants, API integrations, and analytics.
The solution helps teams find information faster, reduce repetitive research, improve answer consistency, and build scalable AI-powered knowledge systems.
šššš” ššššš¤:
OpenAI, LangChain, RAG, Pinecone, Qdrant, Weaviate, FAISS, Chroma, Python, FastAPI, PostgreSQL, APIs.
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I designed and built a complete GoHighLevel CRM automation system to streamline š¹š²š®š± š°š®š½šššæš², šš®š¹š²š š½š¶š½š²š¹š¶š»š² šŗš®š»š®š“š²šŗš²š»š, š³š¼š¹š¹š¼š-šš½š, š®š½š½š¼š¶š»ššŗš²š»š šÆš¼š¼šøš¶š»š“, š®š»š± š¹š¼š»š“-šš²šæšŗ š¹š²š®š± š»ššæšššæš¶š»š“.
The workflow automatically captures new inquiries, creates and organizes contacts inside the CRM, assigns opportunities to the correct pipeline stage, and triggers automated email and SMS follow-up sequences. Calendar integration handles appointment scheduling and reminders, while nurturing workflows keep prospects engaged until they are ready to convert.
I configured the complete CRM structure including sales pipelines, opportunity stages, contact management, workflow automation, email campaigns, SMS automation, calendars, reminders, lead nurturing, and funnel-based follow-ups. The system was designed to reduce manual CRM work and ensure every lead receives consistent communication throughout the sales process.
The result is a more organized and automated sales operation with faster follow-up, fewer missed opportunities, better pipeline visibility, stronger lead nurturing, and a smoother path from initial inquiry to conversion.
šššš”:
GoHighLevel, CRM Automation, Sales Pipelines, Workflow Automation, Email Automation, SMS Automation, Calendars, Lead Nurturing, Funnels, Webhooks, APIs.
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Designed and developed a complete fleet management platform to help businesses monitor vehicles, drivers, trips, performance, and operational alerts from one centralized system.
FleetPro provides a real-time dashboard for tracking fleet activity, monitoring active drivers and trucks, reviewing trips, analyzing revenue and operational performance, and identifying critical issues before they impact operations.
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š„ššš ššš¬š”ššØšš«š ā View total trucks, active trips, drivers on duty, and critical alerts at a glance.
šššÆšš§š®š & ššš«ššØš«š¦šš§šš šš§šš„š²šš¢šš¬ ā Monitor fleet revenue, operating costs, profitability, and performance trends.
šššš„-šš¢š¦š ššš”š¢šš„š šš«ššš¤š¢š§š ā Track trucks, routes, trip progress, driver activity, and estimated arrival times.
šš¦šš«š šš„šš«šš¬ & ššØš§š¢ššØš«š¢š§š ā Detect long stops, route delays, driver inactivity, and other critical operational events.
šš«š¢šÆšš« & šš«š®šš¤ ššš§šš šš¦šš§š ā Manage driver profiles, vehicle assignments, statuses, and fleet information.
šš«š¢š© ššš§šš šš¦šš§š ā Monitor current and historical trips with route and status information. The goal was to give fleet operators better visibility into daily operations, reduce manual monitoring, and enable faster operational decisions through a clean and scalable management system.
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Fleet Management ā¢ GPS Tracking ā¢ Real-Time Monitoring ā¢ Analytics Dashboard ā¢ Revenue Tracking ā¢ Driver Management ā¢ Trip Management ā¢ Smart Alerts ā¢ Automation ā¢ Custom Web Application
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I designed and built an enterprise AI automation system using n8n, AI agents, RAG, Redis, and PostgreSQL to automate complex business workflows, improve decision-making, and create scalable AI-powered operations.
The system uses n8n as the automation orchestration layer, where incoming business events trigger workflows that route tasks to specialized AI agents. A RAG pipeline retrieves relevant knowledge from business data sources, allowing AI agents to generate accurate, context-aware responses and decisions. Redis handles queue-based processing for high-volume tasks, while PostgreSQL stores structured data, workflow history, and audit records.
The automation architecture connects multiple technologies including n8n, OpenAI API, AI Agents, RAG pipelines, Vector Databases, Redis, PostgreSQL, APIs, Webhooks, Slack integrations, Docker, and Python services to create reliable enterprise workflows.
The solution helps businesses reduce manual operations, automate repetitive processes, improve response times, maintain better data accuracy, and scale AI workflows securely. It includes monitoring, validation, error handling, and human approval flows to ensure reliable production usage.
Tech Stack: n8n, OpenAI, AI Agents, RAG, LangChain, Redis, PostgreSQL, Qdrant, Python, FastAPI, Docker, APIs, Webhooks, Slack.
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