Available to hire
Hi, I’m Wasim Hassan Shah, a passionate AI and machine learning engineer with extensive experience building advanced AI-driven systems, including LLM-based chatbots and multimodal AI applications. I love creating solutions that blend data science, artificial intelligence, and software engineering to solve real-world problems efficiently and at scale.
Throughout my career, I’ve worked on projects across various domains such as healthcare, telecommunications, and travel, using cutting-edge technologies like LangChain, OpenAI, and AWS. When I’m not coding or mentoring, I enjoy sharing my insights on my blog and exploring the latest advancements in AI and machine learning.
Language
Afar
Advanced
Avestan
Intermediate
English
Advanced
Work Experience
Senior AI/ML Engineer at InvoZone
December 1, 2024 - PresentDesigned and implemented end-to-end AI system architecture integrating LLM-based solutions such as LangChain, RAG, and multi-agent orchestration to meet business needs. Led projects including AI Business Consultant Bot for WhatsApp, Intelligent Hotel Recommender Agents, multimodal tax form data extraction, Medical AI Assistant leveraging GPT-4o, Whisper, and DALL·E 3, and Voice AI Bot powered by OpenAI Whisper and GPT-4o. Utilized AWS services for scalable and production-grade deployments, implementing CI/CD pipelines and monitoring frameworks.
Senior AI/ML Engineer at InvoZone
December 1, 2024 - PresentDesigned and implemented end-to-end AI system architecture, leading projects that integrated LLM-based solutions to meet business requirements using advanced frameworks such as LangChain, RAG, ReACT, and vector databases. Developed AI-powered bots and recommender systems for various domains including enterprise consulting, travel, tax data extraction, medical assistance, and voice AI. Implemented CI/CD pipelines and ensured production-grade quality using AWS services.
Data Scientist II - Applied AI at Afiniti
June 30, 2024 - August 2, 2025Analyzed caller and agent behavioral patterns, built AI predictive models for caller-agent pairing to maximize sales and retention. Utilized algorithms like Bayesian Mean Regression and MCMC stan to improve KPIs generating incremental revenue. Built churn prevention pipelines and optimized call center NLP models. Developed an AI chatbot for technical query resolution using Google's Gemini LLM and RAG.
Data Scientist II - Applied AI at Afiniti
June 1, 2024 - August 3, 2025Built AI predictive models for caller-agent pairing to maximize sales and retention, using algorithms such as Bayesian regression, K-Means, and MCMC, generating significant incremental revenue. Led churn prevention initiatives reducing churn by 15%, NLP-based call mix clustering, developed the Afiniti Advisor Chatbot using Gemini LLM and LangChain for enhanced query resolution, and performed statistical analysis with Python, R, SQL, and Tableau. Coordinated cross-team collaboration with Jira and Confluence.
Assistant Manager Data Science (Network Development) at Pakistan Telecommunication Company Ltd. (PTCL)
November 30, 2018 - August 2, 2025Performed customer segmentation and churn prediction using machine learning algorithms to increase sales and retention. Developed employee turnover prediction models with ensemble algorithms. Implemented clustering methods for call center optimization and segmentation.
Assistant Manager Data Science (Network Development) at Pakistan Telecommunication Company Ltd. (PTCL)
November 1, 2018 - August 3, 2025Performed customer segmentation and churn prediction modeling using machine learning algorithms to increase sales and retention. Developed employee turnover prediction models and applied various AI/ML techniques to optimize marketing strategies and improve business outcomes.
Research Engineer (AI) at Smart Power and Research Lab NUST
May 31, 2017 - August 2, 2025Worked on Power Line Communication for Smart Grid data transfer and applied data analysis and forecasting for energy consumption. Built models to predict grid stability and detect theft in smart grids using deep learning and clustering algorithms.
Research Engineer (AI) at Smart Power and Research Lab NUST
May 1, 2017 - August 3, 2025Worked on Smart Grid projects including Power Line Communication, energy consumption forecasting using LSTM and time series methods, smart grid stability prediction with deep learning, and energy theft detection employing clustering and ANN techniques. Improved grid stability and reduced energy losses through AI-driven models.
Education
Bachelor of Electrical Engineering at National University of Sciences and Technology (NUST)
January 1, 2013 - June 1, 2017Bachelor of Electrical Engineering at National University of Sciences and Technology (NUST)
January 1, 2013 - June 1, 2017Qualifications
Proactive Learning and Certification Achievement in Data Science
January 1, 2021 - August 2, 2025Proactive Learning and Certification Achievement in Data Science
January 1, 2021 - August 3, 2025Industry Experience
Software & Internet, Telecommunications, Financial Services, Healthcare, Travel & Hospitality
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