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AI Engineer with 1+ years in Data Analysis & Machine Learning
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Ahmad Liaqat is an aspiring AI Engineer with hands-on experience in data annotation, data research, and machine learning model development. He has worked on projects involving generative AI chatbots and possesses strong skills in Python, data wrangling, and various ML frameworks. His background in Statistics complements his practical experience in data analysis and problem-solving.
University of the Punjab Lahore, Pakistan
Bachelor in Statistics · Statistics
August 1, 2020 – June 30, 2024
Motive
Data Annotator
August 1, 2025 – Present
India
PakWheels
Data Research Executive
January 1, 2025 – March 1, 2025
India
Samsung Innovation Camp
Trainee AI Engineer
October 1, 2024 – December 1, 2024
India
Amazon and Walmart
Product Hunter | E-commerce
June 1, 2024 – September 1, 2024
India
AI based Clinical Assistant
June 23, 2026 – Present
Developed a generative AI-powered healthcare chatbot leveraging the Gemini API to deliver accurate diagnosis support and personalized treatment recommendations. Engineered a multi-agent framework for automated text correction, structured data extraction, and generation of comprehensive medical advice. Designed and implemented multimodal interaction capabilities, enabling seamless voice and text inputs with real-time feedback through speech synthesis and text-based responses. Integrated Pinecone for vector similarity search to efficiently retrieve and analyze relevant medical case data
Cultural Fit Analysis
The candidate's project diversity, ranging from a generative AI chatbot to e-commerce product research, indicates a broad interest and adaptability. The 'AI Engineer' target role aligns well with their 'Trainee AI Engineer' internship and personal AI project. The breadth of skills listed (Python, R, SQL, various ML frameworks, cloud computing) suggests a willingness to learn and engage with different technologies. However, the professional experience is relatively short and includes roles that are not directly AI engineering, which might require a more structured environment for growth.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and applying AI concepts, as evidenced by their internship and personal project. Their experience in data annotation and research suggests attention to detail and a methodical approach to data handling. Collaboration skills are mentioned in the Data Annotator role. However, the resume does not provide sufficient information to assess stress handling or team collaboration in complex AI development environments.