Muhammad Zuhair Qadir

- Built and managed a GCP-based yearly sales forecasting solution (BigQuery, Cloud Functions, Vertex AI) for two years, delivering data analytics and reporting via Looker to enhance sales strategy and decision-making. - Leading AI Strategy and Leveraging AI /ML to help reap benefits for the flagship product, Primer - an adaptive learning platform powered by generative AI, for kids all around the world to learn at their own pace, available in over 100 languages and teaches all grade-school topics. It is an alternative to the classroom, in particular for children who are not able to attend school (over 200 million children worldwide) and those seeking to attain higher scores in school exams.

As an AI Solutions Architect & Machine Learning Consultant at Appevolve, I design and implement AI-powered solutions, focusing on Gen AI , conversational AI and digital voice assistants for customer-centric contact center platforms using AWS Services -Architected and deployed a comprehensive digital voice assistant using a suite of microservices using Watson Assistant for orchestration, AWS API Gateway, and AWS Lambdas. -Integrated Deepgram's on-premise deployment for speech-to-text and text-to-speech conversion, enhancing real-time interaction capabilities. -Built and optimized AWS Lambda functions for multi-service orchestration, managing voice and text interaction workflows, machine learning model invocation, and API integrations. -Developed a Retrieval-Augmented Generation (RAG) solution leveraging AWS Bedrock and Anthropic Claude, using client-specific documents ingested via Weaviate for context-driven responses. -Developed a call scoring algorithm to evaluate conversation quality in real-time, implemented and stored the scoring system, and integrated sentiment analysis using AWS Comprehend to assess user sentiment during the call. -Managed data pipelines to store transcripts and conversation data in DynamoDB, ensuring seamless and secure data handling. -Actively participated in daily stand-ups, Jira task logging, and version control via Git, ensuring efficient communication and project tracking across development, UAT and Prod environments. -Collaborated with cross-functional teams, leading the development and deployment of scalable AI-driven microservices for a client-facing AI contact center solution. This role allows me to leverage my machine learning and AI expertise to create intelligent, scalable, and impactful solutions for enterprise-level contact centers. Reference: https://www.anthropic.com/customers/humach

Working on-site with Kahramaa ( the national company of Qatar providing power and water supply to the country). My key role includes end to end AI use case understanding, pitching and development. Data Architecture, Data Pipelining, Migration from On-premises to Microsoft Azure, Evaluating AI use cases and building the capability of harnessing AI from companies data through Data Lakehouse Development on cloud infrastructure. Creating Computer Vision, NLP, GenAI and Forecasting use cases from scratch till end using Microsoft Azure Cloud and on-premise infrastructure as well.

Served as an on-site AI specialist with Kahramaa (National Power Compnay) Qatar, responsible for the full AI project lifecycle. Key contributions include: AI Strategy and Development: Identifying, pitching, and developing AI use cases aligned with Kahramaa's business objectives. Data Engineering: Designing and implementing data architectures, building data pipelines, and migrating on-premises data to Microsoft Azure. Data Lakehouse Development: Establishing a cloud-based Data Lakehouse to enable data-driven AI initiatives. AI Solution Development: Building and deploying Computer Vision, NLP, Generative AI, and Forecasting models using both Azure and on-premises infrastructure.

Drove data-driven improvements across diverse industries: Pharmaceuticals: Developed predictive models for sales optimization, including customer lifetime value prediction and customer categorization, enabling data-driven sales strategies. SaaS/Product: Automated sales lead extraction using OpenAI NLP models, improving efficiency and data quality from set of millions of datasets. Banking: Developed predictive models for stock market analysis and optimized hedge fund portfolios using deep reinforcement learning. Cloud Data: Implemented anomaly detection using deep learning models, improving operational efficiency by identifying usage anomalies. Power Sector: Developed a digital twin of a power grid network, enabling real-time blackout prediction and optimized power source allocation, potentially saving billions in infrastructure costs.

Lead and Key member for the AI Lab working primarily on several projects involving: Reinforcement learning, Computer Vision, SLAM and Multi agents. Design algorithm, Develop from scratch, Test and document the projects overall. Coordinating and helping team members and training them to lead the projects after knowledge transfer. Published 8 papers in renowned journals with 52 citations till now. Solved the problem of multi agent coordinated pursuit in an environment having multiple pursuers and multiple evaders using different clustering algorithms like Self organizing feature maps (SOFM) and reinforcement learning techniques (Q- learning). Advised new reward function for improved performance. Worked on several Computer vision projects in which I worked on several CNN models for objection detection, segmentation and analysis.

worked with hundreds of clients and projects. Made success stories and help clients with new solutions and reach new heights of their goals.

Teaching core courses at Department of Computer Science and Information Technology. Algorithms, OS Discrete Mathematics, Computer Vision and Programming courses. Research and development in different computer vision related projects.

Teaching core courses like programming, web development, algorithms at Department of Computer Science and Information Technology. Research in parallel processing, mobile security and social media profiling.

Worked as Software Engineer at Kellwood Company, the billion dollar apparel company, being there I worked on web based CRM which involved .NET 3.5 framework and Biztalk Server 2006 R2 for EAI. Rated category 1 (best) during my first performance evaluation. Developed, tested and deployed new modules and provided 24/7 support for the ERP application.