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AI Engineer with 5+ years in Machine Learning & AI Agents
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Highly skilled AI Engineer with 5.4 years of experience specializing in Machine Learning and AI Agents. Proficient in Python, SQL, C#, and a wide array of frameworks and libraries including PyTorch, TensorFlow, Hugging Face, and LangChain. Expertise spans LLMs, RAG, Fine-tuning, and cloud platforms like AWS, Azure, and GCP, with a strong focus on developing production-ready AI solutions and contributing to impactful research.
University of Engineering & Technology
Master of Machine Learning · Machine Learning
October 1, 2020 – September 1, 2022
University of Engineering & Technology
Bachelor of Computer Engineering · Computer Engineering
October 1, 2014 – July 1, 2018
Section Soft
Machine Learning Engineer
January 1, 2024 – Present
Islamabad, Islamabad Capital Territory, Pakistan
UET Lab
Researcher
January 1, 2021 – December 1, 2023
Peshawar, Khyber Pakhtunkhwa, Pakistan
Dental CRM System
June 1, 2026 – Present
Dental CRM System is a complete appointment management system built with React Frontend + Node.js Backend + Python AI Service. The system provides AI-powered chatbot functionality that allows patients to book appointments using natural language, with JWT authentication and MySQL database integration. It features a Material-UI modern interface, OpenAI GPT-3.5 for intelligent conversations, and real-time appointment tracking to provide a professional solution for dental clinics.
View ProjectPhysioCare Assistant – AI Q&A Model
June 1, 2026 – Present
This is an AI-powered Q&A Model trained on physiotherapist data to answer questions about physiotherapy and spine rehabilitation. This project uses RAG (Retrieval-Augmented Generation) technology and provides instant responses with Low loading time.
View ProjectUpwork Proposal Writer
June 1, 2026 – Present
Built an AI-powered Upwork Proposal Writer that dramatically reduces the time required to create high-quality freelance proposals. Earlier, writing a single proposal took me around 30–40 minutes, but after developing this system, it now takes only 2-3 minutes. The application is built using Streamlit for the frontend and integrates LangChain with Groq's Llama-3.3 model to extract structured job details from URLs or pasted descriptions. It then uses ChromaDB vector search to match relevant portfolio projects from a local dataset, ensuring each proposal is tailored with real, context-aware experience. Finally, the LLM generates a professional and persuasive Upwork proposal under a defined profile identity, making the entire workflow fully automated and highly efficient.
View ProjectTherapist & Dentist Finder_WhatsApp AI Assistant
June 1, 2026 – Present
Built a WhatsApp-based AI assistant that helps users with mental health conversations and finds nearby therapists and dentists using their location. The backend runs on FastAPI with a LangGraph/LangChain agent powered by Groq LLM, integrated with Twilio WhatsApp API for real-time messaging. For location-based search, I used Google Maps Geocoding API to convert area names into coordinates and Google Places API to fetch nearby clinics with names, addresses, and phone numbers. The project uses Python, ngrok for webhook tunneling, and a modular tool-based agent architecture demonstrating how AI, cloud APIs, and messaging platforms can be combined into a practical healthcare discovery solution.
View ProjectATS System
June 1, 2026 – Present
This is an intelligent Applicant Tracking System (ATS) designed specifically for companies and HR departments to efficiently screen and rank resumes. When companies receive hundreds of resumes for a single job posting, this AI-powered system helps identify the top candidates by analyzing resume quality, keyword matching, and compatibility with job requirements.
View ProjectAI Doctor - Multimodal Medical Assistant
June 1, 2026 – Present
An intelligent AI-powered medical assistant that combines voice recognition, image analysis, and natural language processing to provide medical insights. This project demonstrates the integration of multiple AI technologies including speech-to-text, computer vision, and text-to-speech capabilities.
Shoes Brand WhatsApp AI Automation (n8n)
January 1, 2024 – Present
Built a production-ready WhatsApp sales automation solution for a shoe brand using n8n Cloud, Twilio WhatsApp API, Groq AI, and Google Sheets. The AI assistant handles customer conversations in both Urdu and English. Customers can place orders directly through WhatsApp chat. Once a customer completes the payment, the order is automatically confirmed and added to the order database in Google Sheets—eliminating the need for manual data entry. After payment verification, the customer instantly receives an order confirmation via WhatsApp.
View ProjectGlobal User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing
Unknown
June 1, 2026 – Present
Sentiment Analysis of Users' Reviews on COVID-19C Tracing Apps with a Benchmark Dataset
Unknown
June 1, 2026 – Present
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques
MediaEval 2022
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards building practical, impactful AI solutions across various domains (e.g., e-commerce, healthcare, HR, freelance tools). This diversity, combined with academic research experience, suggests a curious and innovative mindset. The use of modern AI stacks (LangChain, Groq, RAG) indicates a proactive approach to learning and adopting new technologies. The professional projects show an ability to deliver production-ready systems, which aligns well with a results-oriented culture. The academic background and research publications further highlight a commitment to continuous learning and contribution to the field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and an ability to translate complex AI concepts into tangible, user-centric solutions. The focus on automation and efficiency (e.g., Upwork Proposal Writer) suggests a practical, results-driven work attitude. The diversity of projects, particularly in healthcare and customer service, implies adaptability and a willingness to tackle varied challenges. However, without direct interview data, specific soft skills like teamwork, leadership, or stress handling cannot be fully assessed.