Hasaif Akram

Hasaif Akram

Ai Automation Engineer

Sahiwal, Pakistan

#OpenToWork

About

AI Automation Engineer with a focus on agentic n8n workflows that combine large language models (Google Gemini), vector databases (Pinecone, Supabase), and relational databases (PostgreSQL) to solve real business problems. Skilled across the full automation stack — RAG pipeline design, conversational AI agents, CRM and business process automation, prompt engineering, API integration, workflow orchestration, and containerized tooling (Docker, Postman). I care about building systems that are reliable and production-ready, not just demos — with clean data validation, safe write operations, and long-term memory handling baked in from the start. Currently deepening my expertise in multi-agent orchestration and retrieval quality as the next step toward senior AI automation engineering.

What I'm looking for

Remote opportunities as an AI Automation Engineer / AI Agent Developer, where I can design and ship n8n or LangChain-based automation workflows, RAG systems, conversational agents, chatbots, CRM automation, and business process automation for teams building real AI-powered products. Open to junior/associate-level roles with room to grow into agentic AI, LLMOps, voice AI agents, and multi-agent system work.

Experience

Bilytica

Ai Automation Engineer

Jun 2026 – Sep 2026

Designed and deployed production-grade n8n automation workflows integrating Google Gemini, PostgreSQL, Pinecone, Supabase, and Google Workspace APIs to solve real operational problems across customer support, finance, and content operations — not proof-of-concept demos, but systems built with the validation, error-handling, and safety gates production use requires. Built a PostgreSQL-backed conversational AI admin agent spanning 7 business domains (branches, menu, inventory, orders, returns, sales), with strict enum validation, UUID resolution before any write operation, confirmation gates on destructive actions, and rolling conversation summarization to manage long-term memory without exceeding context limits. Engineered a bilingual (English/Arabic) RAG chatbot with automatic language detection, routing each query to a language-specific agent and an independently indexed Pinecone knowledge base — using Ollama embeddings and language-aware system prompts to keep responses grounded and policy-compliant rather than hallucinated. Built a Gmail-triggered customer support agent combining AI-based intent classification with Retrieval-Augmented Generation to auto-draft context-aware, policy-compliant replies, cutting manual triage effort for the support team. Implemented a social content automation pipeline: RSS feed monitoring, duplicate detection, AI-generated LinkedIn posts, automated publishing via the LinkedIn API, and status tracking through Google Sheets — a full content-ops loop with no manual intervention required. Core competencies demonstrated: agentic workflow design, RAG architecture, multi-domain conversational AI, API integration, prompt engineering, database-safe automation design, and end-to-end business process automation.

AI Agent DevelopmentRAG & Knowledge RetrievalLLM EngineeringWorkflow & Business ProceBackend & Deployment for

Bilytica

Education

COMSATS University, Islamabad, Pakistan

Bachelor of Computer Science · computer science

2021 – 2025

Skills

Chatbot DesignEmail & Workflow AutomatiLLMOpsDocument ProcessingCRM AutomationConversational AIAPI Integration & WebhookLLM APIsHybrid SearchEmbeddingsVector DatabasesMulti-Agent OrchestrationAI AgentsAgentic WorkflowsLangChainPrompt EngineeringRAGmakezapiern8n

Languages

English (Professional working proficiency)