Ammar Ali Khan
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 2+ years in LLMs & RAG pipelines
AI Engineer with a focus on applied artificial intelligence with 2 years of experience and a track record of Building/transforming advanced models into practical, user-facing products. Skilled in LLMs, RAG pipelines, and computer vision, with strong expertise in Python, machine learning, and deep learning. Experienced in building and deploying scalable AI solutions on cloud platforms and applying workflow automation to enhance efficiency. Collaborative and forward-thinking, passionate about leveraging AI to solve real-world problems and deliver measurable impact.
Air University
Masters of Science · Artificial Intelligence
August 1, 2024 – June 30, 2026
Bahria University
Bachelor of Science · Computer Engineering
August 1, 2020 – June 30, 2024
88 hours Software Company
AI Engineer
June 1, 2024 – Present
India
Clarity 360 - AI-Powered Employee Feedback & Concern Analysis
January 1, 2024 – Present
Built an end-to-end AI pipeline using LLMs (GPT models) to analyze employee feedback, detect tone and urgency, auto-tag concerns, and generate action-oriented summaries. Integrated the pipeline with a Heroku PostgreSQL database, developed REST APIs for syncing, and built React dashboards for feedback submission and analytics. Delivered as a production-ready AI SaaS product for organizational decision support. Developed backend APIs and integrated Stripe payment gateways to manage product subscriptions, including new plan creation, cancellations, successful payments, and failed transactions. Ensured secure and reliable payment flows within the AI SaaS platform.
AI Conversagent
January 1, 2024 – Present
An AI SaaS platform built for companies to integrate intelligent chatbots into their websites for customer support and queries. The system allowed users to upload PDFs or website links as a knowledge base using web scraping and RAG pipelines, with data stored in a vector database. It offered features like chatbot customization, FAQ management, analytics (tokens, characters used), and customer data capture. I developed the entire backend using FastAPI (Python), including REST APIs, RAG pipeline integration, vector database management, and database syncing. I also worked on the dashboard backend and chatbot frontend integration, enabling end-to-end functionality from data ingestion to chatbot deployment.
AI-Powered Content Automation (n8n Workflow)
January 1, 2024 – Present
Developed an end-to-end automation pipeline for generating social media blogs and LinkedIn posts. The system integrated multiple LLMs (OpenAI, Claude, Grok) with n8n to collect data from YouTube and Twitter, generate research-backed content ideas, and create polished posts in a professional brand voice. Added AI image generation, Google Docs syncing, Slack-based human review, and automated LinkedIn publishing, enabling scalable and efficient content marketing with minimal manual effort.
Content Automation (n8n Workflow)
January 1, 2024 – Present
Developed an automation system that fetched client phone numbers and payment details from Google Sheets and sent personalized WhatsApp reminders for balance updates and overdue payments using Twilio API. The workflow reduced manual follow-ups, improved client communication, and ensured timely payment tracking.
Doctor Bot (AI POWERED CHAT BOT)
January 1, 2023 – January 1, 2024
Developed a medical assistant chatbot using RAG pipelines and vector databases, with a medical textbook in PDF form as the knowledge base. The system analyzed user-entered symptoms and retrieved relevant disease and cure information from the document, providing medication suggestions and guidance for areas lacking direct access to doctors.
Transformers Model (Translates English to Italian)
January 1, 2023 – January 1, 2024
Implemented a GPT-like Transformer architecture from scratch using PyTorch, including multi-head self-attention, positional encoding, encoder-decoder layers, and sequence-to-sequence learning. Trained the model for English-to-Italian translation, demonstrating expertise in building deep learning models beyond prebuilt libraries.
Doctor Bot 2.0 (Speech To Text and Vision Transformers)
January 1, 2023 – January 1, 2024
Upgraded a medical chatbot into a full AI agent by integrating Vision and Voice Transformers. Enabled the system to process not only text but also medical images and voice inputs, allowing the model to generate more accurate and efficient responses across multiple modalities.
Smart Security System Detecting Intrusion and Anomaly (Bachelor's Final Year Project)
January 1, 2023 – January 1, 2024
Built an AI-powered security system using YOLOv7 for real-time detection of intruders and weapons. Created a custom facial recognition dataset (employees as authorized users, others as intruders) and used 10,000+ weapon images from Kaggle for weapon detection. Integrated a React.js dashboard for operators to monitor camera feeds, verify detections, and receive instant HTTP alerts for potential threats.
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role, particularly in environments focused on practical application and product development. The diverse range of projects, from AI SaaS platforms to security systems and content automation, showcases adaptability and a broad interest in leveraging AI across different domains. The experience with payment gateway integration and business workflow automation indicates a product-minded approach, which is valuable for delivering complete solutions. The ongoing Master's degree in AI further highlights a commitment to continuous learning and staying current with advancements in the field.
Soft Skills & Operational Fit
The candidate's profile and project descriptions indicate a collaborative and forward-thinking individual passionate about solving real-world problems with AI. The experience in end-to-end product development and workflow automation suggests a strong operational fit for roles requiring practical, deployable AI solutions. The focus on delivering measurable impact aligns well with product-oriented teams.