Adil Hayat
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 1+ years in Generative AI & Workflow Automation
AI Engineer specializing in Generative AI, Large Language Models (LLMs), AI Agents, Voice AI, and workflow automation. Skilled in building LLM-powered chatbots, voice assistants, RAG-based systems, and AI automation workflows using Python, FastAPI, LangChain, LangGraph, CrewAI, Vapi AI, n8n, Zapier, Make.com, and Zoho Flow. Experienced in integrating APIs, webhooks, vector databases, and third-party platforms such as OpenAI, Groq, Gemini, Pinecone, MongoDB, Airtable, Gmail, Slack, and CRMs to build real-world AI solutions. Strong background in developing scalable backend APIs, tool-calling workflows, and end-to-end AI systems for business automation and intelligent workflow execution.
University of Engineering & Technology, Mardan
Bachelor of Engineering (BE) · Computer Software Engineering
N/A – June 30, 2025
AI Consultant Bot
Freelancing Project
August 1, 2025 – August 1, 2025
India
ProspectRoi
AI & Automation Engineer
July 1, 2025 – Present
India
DejaVu Tours – Luna WhatsApp Assistant
June 1, 2025 – Present
Developed a multilingual WhatsApp AI assistant that interacts with users to collect travel-related details such as name, destination, travel dates, group size, and trip preferences through natural conversations. Built an intelligent recommendation system that suggests personalized travel packages based on customer type (family, couple, solo traveler) and trip duration using AI-driven workflows. Integrated n8n for workflow automation, OpenAI for conversational AI, Pinecone for vector-based memory retrieval, Airtable for structured lead management, and MongoDB for storing customer conversations and interaction history.
View ProjectAI Travel Agent
June 1, 2025 – Present
Developed an AI-powered travel assistant using LangGraph and Groq LLM to automate end-to-end travel planning through natural language interactions. Integrated Amadeus API for real-time flight and hotel search, OpenWeatherMap API for weather forecasting, and SerpAPI for travel-related web search and destination insights. Implemented LLM-driven tool calling and workflow orchestration, enabling the agent to dynamically select and execute APIs based on user queries. Built multi-step reasoning workflows to combine flight availability, hotel recommendations, weather conditions, and local travel information into personalized travel plans.
View ProjectSunmarke School AI Chatbot
June 1, 2025 – Present
Scraped and parsed content from the Sunmarke School website to build a structured JSON knowledge base for retrieval. Indexed the scraped data into a FAISS vectorstore using Hugging Face sentence-transformer embeddings for semantic search. Integrated Groq LLM (via OpenAI-compatible API key) to generate accurate, context-aware responses from retrieved content. Built a LangGraph workflow to route queries across vectorstore, web search (Tavily), and direct chat modes. Developed a FastAPI backend with JWT authentication and a React/Vite frontend for a complete end-to-end chat application.
View ProjectVoice Restaurant AI Assistant
June 1, 2025 – Present
Built a real-time voice-enabled restaurant AI assistant using Gemini Live API and Python for natural conversational ordering. Implemented WebSocket-based audio streaming with PyAudio and AsyncIO for low-latency real-time voice interactions. Developed AI-powered restaurant workflows including menu handling, order placement, order updates, cancellation, and order status tracking using a modular tool-based architecture. Integrated function calling and real-time speech processing to support multi-turn conversational AI interactions with continuous audio streaming.
AI Appointment Reminder Voice Agent
June 1, 2025 – Present
Built an AI-powered appointment reminder system using Vapi AI, FastAPI, and JavaScript/Vite to automate patient confirmation, cancellation, and rescheduling workflows. Developed both outbound phone calling and browser-based web calling flows using Vapi Server SDK and Vapi Web SDK. Implemented FastAPI endpoints to save appointment records, start calls, handle Vapi tool calls, and update appointment status in a JSON-based storage system. Integrated Vapi function calling through an update_appointment tool to update appointment status, notes, date, and time based on patient responses. Used Cloudflare Tunnel to convert the local FastAPI server into a publicly accessible endpoint, allowing Vapi AI to communicate with backend webhooks for real-time tool-call execution and call event processing.
View ProjectNewsletter Automation Pipeline
June 1, 2025 – Present
Designed an end-to-end automation workflow in n8n to fetch recent podcast transcripts from Riverside.fm via API. Implemented AI-driven summarization and newsletter generation from transcripts, maintaining a consistent brand voice. Generated context-aware branded images based on newsletter content using Google Gemini, and automatically attached them to the draft. Built a Gmail approval loop, allowing stakeholders to request content or image revisions via email responses. Automated final distribution by pushing approved content to social media platforms (e.g., Twitter/X, Instagram).
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a diverse range of personal projects, indicating a strong passion for AI and continuous learning. The projects are highly relevant to the target role of an AI Engineer, demonstrating initiative and a proactive approach to skill development. The breadth of technologies and platforms used suggests adaptability and a willingness to explore new tools. However, the experience is heavily weighted towards personal projects and freelancing, with limited corporate experience, which might impact their fit within a structured team environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, communication, and presentation skills, which are crucial for a senior AI Engineer role. Their project-based experience indicates an ability to work independently and deliver complete solutions. The focus on automation and integration aligns well with operational efficiency requirements. However, the resume does not provide specific examples of teamwork or leadership in a corporate setting, which are important for senior roles.