Ayan Javed

AI Systems Engineer with 2+ years of experience designing and deploying production-grade LLM systems, AI agents, and automation pipelines. Specialized in LLM integration, RAG architectures, and workflow automation using n8n, Make, and API-driven systems. Strong background in building MLOps-aligned automation workflows, integrating OpenAI, Claude, and LangChain into business operations, and delivering end-to-end systems including deployment, monitoring, and optimization.

AI Solutions Engineer - Finbloc - Remote

(2024-11 - 2026-04)

Full-time role designing and deploying production-grade LLM systems, AI agents, and automation pipelines for sales, marketing, and operations teams.

• Audited sales, marketing, and operations automation workflows to identify integration gaps and bottlenecks, then used that analysis to improve process reliability across business systems.
• Designed and deployed AI-powered systems for lead generation, customer engagement, reporting, and workflow automation across sales, marketing, and operations teams.
• Built intelligent automation solutions using OpenAI, Claude, LangChain, FastAPI, Make, and REST APIs to eliminate repetitive tasks and improve operational efficiency.
• Developed lead qualification, nurturing, and CRM automation workflows in HubSpot and GoHighLevel to reduce manual follow-up and improve lead-to-call conversion.
• Built and deployed MLOps pipelines and LLM-integrated systems incorporating RAG architectures and AI agents to automate decision-making, enhance contextual retrieval, and streamline end-to-end business workflows across production environments.
• Developed client reporting and data-processing systems with LangChain and FastAPI, cutting report generation time from hours to minutes.
• Created AI-powered content generation pipelines for SEO articles, landing pages, ad creatives, email campaigns, social media content, and marketing assets, significantly reducing content production time.
• Integrated 10+ business platforms through APIs and webhooks, creating centralized data pipelines and eliminating manual data synchronization across systems.
• Built Twilio-powered SMS and voice automation solutions for customer communication, appointment reminders, lead engagement, and automated follow-up sequences.
• Designed multi-channel marketing automation workflows spanning CRM, email, SMS, landing pages, ClickUp, and paid advertising campaigns with automated monitoring and optimization.
• Maintained and optimized production-grade AI and automation systems with monitoring, logging, and alerting mechanisms to ensure reliability, scalability, and high system uptime.
• Integrated Monday.com into project management and workflow automation systems, enabling real-time task tracking, status updates, and cross-team coordination across client operations.

Automation Specialist - Stackloom - Remote

(2024-07 - 2024-10)

Contract role focused on designing and engineering end-to-end workflow automation systems and AI voice agent solutions.

• Engineered end-to-end workflow automation systems in n8n and Make for ticket routing, reporting, data entry, and cross-platform synchronization, reducing almost 10 hours/week of manual operational workload.
• Designed AI voice agent systems using VAPI with custom call flows, prompt logic, and CRM integration, deployed across 2 production client environments for automated inbound and outbound communication.
• Integrated Slack, Jira, and Google Workspace into unified event-driven automation pipelines, enabling real-time data synchronization and eliminating manual cross-tool updates.
• Implemented Twilio-powered communication automation for SMS notifications, call routing, and real-time system event alerts across operational workflows.
• Established observability and failure detection systems using Slack alerts and Google Sheets execution logs, improving system reliability and reducing silent automation failures.
• Built weekly operational intelligence reports with performance metrics and workflow insights, identifying 3–5 new automation opportunities per month.

Operations Intern - Lit Grey Technologies - Islamabad

(2024-02 - 2024-05)

Internship focused on client communications, AI tool usage, workflow automation, and technical support.

• Managed client communications across email, live chat, and social media platforms, maintaining professional and timely responses throughout all interactions
• Used AI tools including ChatGPT to draft support responses, summarize client issues, and improve overall resolution quality and speed
• Built and maintained two automation workflows for internal ticket management using Zapier, reducing manual follow up and improving response tracking efficiency
• Troubleshot software and technical issues reported by clients, identifying root causes and delivering clear solutions with minimal back and forth
• Coordinated tasks and tracked project progress using project management tools including Notion and Trello, ensuring deadlines and client expectations were consistently met
• Assisted in managing client onboarding and support queues as a Virtual Assistant, keeping operations organized across multiple concurrent accounts
• Documented recurring issues and support patterns to help the internal team build faster and more consistent resolution workflows

BSE - Software Engineering - Capital University of Science and Technology (2020 - 2024)