Available to hire
I’m Khalid Anwar Usmani, a senior AI/ML engineer with 10+ years of experience designing, building, and deploying scalable ML-powered web applications and APIs. I thrive in cross-functional teams, translating business needs into robust data-driven solutions using Python, cloud platforms, and modern MLOps tooling.
I lead multi-disciplinary teams, mentor junior engineers, and optimize end-to-end ML pipelines—from data ingestion and feature engineering to model deployment and monitoring. My focus is on measurable impact, reliability, and scalable architectures that support real-time analytics and automated decision-making.
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Language
English
Fluent
Work Experience
Lead AI/ML Engineer I at Lenovo
February 1, 2022 - PresentLead the design, development, and deployment of end-to-end AI/ML solutions using TensorFlow and PyTorch, delivering scalable, production-grade applications. Architected and implemented full stack web applications using Python (Django, Flask, FastAPI) and modern frontend technologies. Managed and mentored a cross-functional team of data scientists, ML engineers, and developers, fostering agile practices and ensuring timely delivery of high-quality software products. Developed and maintained robust RESTful and GraphQL APIs to expose ML-powered services. Collaborated with DevOps to containerize applications with Docker and orchestrate deployments with Kubernetes. Implemented CI/CD pipelines (Jenkins, GitHub Actions) and ML lifecycle management with MLflow and Kubeflow. Led ML Ops efforts, implementing model versioning and monitoring in production. Ensured security with RBAC and OAuth2/JWT. Optimized performance with caching and asynchronous task management (Celery, Redis).
Senior AI/ML Engineer I at Inoxoft
January 1, 2022 - September 23, 2025Led the development and deployment of advanced machine learning models using Python frameworks (TensorFlow, PyTorch, Scikit-learn). Designed and implemented full stack applications (Django, Flask, FastAPI) and integrated AI/ML models into user-facing platforms. Architected end-to-end data pipelines and ETL processes for model training/validation using Apache Airflow, Apache Spark, and Docker. Applied MLOps practices, including containerization, Kubernetes orchestration, and CI/CD automation. Monitored model performance in production and retrained/tuned to maintain accuracy. Worked with PostgreSQL, MongoDB, Redis to optimize data storage; implemented caching and asynchronous processing. Ensured security with OAuth2/JWT; mentored junior engineers; conducted code reviews and documentation. Developed real-time data processing with Kafka and Flink; IaC with Terraform/Ansible; automated deployment and rollback procedures.
AI/ML Engineer I at Bloomfire
July 1, 2018 - September 23, 2025Designed, developed, and deployed ML models and AI solutions using Python and frameworks (TensorFlow, PyTorch, Scikit-learn). Built full-stack web applications (Django, Flask, FastAPI; React, Vue) to expose AI/ML capabilities. Implemented RESTful APIs and microservices; built ETL pipelines with Airflow and Docker. Collaborated with data scientists and product teams; implemented model monitoring, retraining, and security best practices (OAuth2, JWT). Improved scalability with caching (Redis) and asynchronous tasks (Celery). Mentored junior developers and maintained code quality with unit tests and documentation.
Lead AI/ML Engineer at Lenovo
February 1, 2022 - PresentLead the design, development, and deployment of end-to-end AI/ML solutions, leveraging TensorFlow and PyTorch, and state-of-the-art models (Transformers, CNNs, RNNs) to deliver production-grade applications. Architected full-stack web applications using Python (Django, Flask, FastAPI) with frontend integrations, enabling seamless AI/ML model hosting and user interfaces. Managed and mentored a cross-functional team of data scientists, ML engineers, and developers, following agile practices to ensure timely delivery. Developed and maintained robust RESTful and GraphQL APIs to expose ML-powered services for internal and external consumers. Collaborated with DevOps to containerize with Docker and orchestrate deployments with Kubernetes, ensuring high availability and scalability. Implemented CI/CD pipelines (Jenkins, GitHub Actions) to automate testing, retraining, and deployment, improving throughput and model reliability. Led ML Ops efforts, implementing MLflow and Kubeflow to manage mod
Senior AI/ML Engineer I at Inoxoft
January 1, 2022 - September 23, 2025Led development and deployment of advanced ML models using Python frameworks (TensorFlow, PyTorch, Scikit-Learn), delivering AI-driven solutions for complex business requirements. Designed and implemented full-stack applications using Python backend frameworks (Django, Flask, FastAPI) alongside modern frontend technologies (React, Angular), integrating AI/ML models into user-centric platforms. Developed scalable RESTful APIs and microservices to serve ML models and support seamless data flow between systems. Collaborated with data scientists, engineers, and product owners to define technical requirements and deliver high-impact AI/ML solutions. Architected and managed end-to-end data pipelines and ETL processes for model training and validation using Apache Airflow, Apache Spark, and Docker. Applied MLOps best practices, including containerization with Docker, orchestration using Kubernetes, and CI/CD automation with Jenkins and GitHub Actions, to ensure reliable production deployments
AI/ML Engineer I at Bloomfire
July 1, 2018 - September 23, 2025Designed, developed, and deployed machine learning models and AI solutions using Python frameworks such as TensorFlow, PyTorch, and Scikit-Learn to solve complex business problems. Built and maintained full stack web applications leveraging Python backend frameworks (Django, Flask, FastAPI) and modern frontend technologies (React, Vue.js) to integrate AI/ML capabilities with user interfaces. Developed RESTful APIs and microservices to serve ML models and facilitate data exchange between systems. Collaborated with cross-functional teams to define project requirements and deliver scalable AI-powered applications. Implemented data processing pipelines and automated workflows using Apache Airflow and Docker to ensure efficient model training, testing, and deployment. Applied DevOps practices including containerization with Docker, orchestration using Kubernetes, and CI/CD pipelines with Jenkins and GitHub Actions to streamline deployment. Monitored model performance in production, conducti
Lead AI/ML Engineer I at Lenovo
February 1, 2022 - PresentLed development and deployment of enterprise-scale ML systems for real-time analytics and automation. Architected and deployed ML models with 99.9% uptime on Kubernetes and AWS. Built collaborative-filtering and deep neural network recommender systems, increasing user engagement by 30%. Implemented ML Ops pipelines with MLflow and Kubeflow, reducing deployment time from weeks to days. Developed anomaly detection (isolation forests, LSTM) for predictive maintenance. Led a team of 8 engineers in migrating monolithic systems to microservices on cloud platforms. Optimized inference with TensorRT and quantization for ~75% latency reduction. Built NLP pipelines using BERT/Transformers for document classification (92% accuracy). Designed data processing workflows with Apache Spark and Airflow handling terabyte-scale data. Established model monitoring and A/B testing frameworks. Implemented CI/CD pipelines for automated model training, validation, and deployment.
Senior AI/ML Engineer I at Inoxoft
January 31, 2022 - September 24, 2025Designed and implemented ML solutions for clients across healthcare, finance, and ecommerce. Developed computer vision models (CNNs, object detection) for medical imaging. Built fraud detection systems using ensemble methods, reducing false positives by ~40%. Implemented NLP models for chatbot development using transformers and intent classification. Created time-series forecasting models for predictive maintenance using LSTM and statistical methods. Deployed ML models across multi-cloud environments (AWS, Azure, GCP) with containerized microservices. Mentored junior engineers in ML best practices and code reviews. Optimized training pipelines with distributed computing and GPU acceleration. Built feature stores using Redis and Apache Kafka for real-time feature serving. Implemented automated hyperparameter tuning using Optuna and Ray Tune. Collaborated with data engineering to build ETL pipelines and data warehouses.
AI/ML Engineer I at Bloomfire
July 31, 2018 - September 24, 2025Built foundational machine learning capabilities and data processing pipelines for a knowledge management platform. Developed recommendation algorithms using collaborative filtering and matrix factorization. Implemented text processing pipelines with NLP libraries (NLTK, spaCy) for content categorization. Built classification and regression models using scikit-learn for user behavior. Deployed ML models via REST APIs using Flask and Docker. Created data preprocessing workflows with Pandas and NumPy. Implemented model monitoring dashboards and alerting systems for production models. Designed A/B testing frameworks for model performance evaluation. Optimized database queries and implemented caching strategies for real-time model serving. Collaborated with product and engineering teams to integrate ML features into web applications. Established data quality monitoring and validation processes for ML pipelines.
Education
Master of Science in Computer Science at University of Bridgeport
January 11, 2030 - September 23, 2025Bachelor of Science in Computer Engineering at Sir Syed University of Engineering & Technology
January 11, 2030 - September 23, 2025Master of Science in Computer Science at University of Bridgeport
January 11, 2030 - September 23, 2025Bachelor of Science in Computer Engineering at Sir Syed University of Engineering & Technology
January 11, 2030 - September 23, 2025Master of Science in Computer Science at University of Bridgeport
January 11, 2030 - September 24, 2025Bachelor of Science in Computer Engineering at Sir Syed University of Engineering & Technology
January 11, 2030 - September 24, 2025Qualifications
AWS Certified Machine Learning - Specialty
January 11, 2030 - September 23, 2025Google Cloud Professional Machine Learning Engineer
January 11, 2030 - September 23, 2025Azure AI Engineer Associate
January 11, 2030 - September 23, 2025Certified Kubernetes Administrator (CKA)
January 11, 2030 - September 23, 2025TensorFlow Developer Certificate
January 11, 2030 - September 23, 2025AWS Certified Machine Learning - Specialty
January 11, 2030 - September 23, 2025Google Cloud Professional Machine Learning Engineer
January 11, 2030 - September 23, 2025Azure AI Engineer Associate
January 11, 2030 - September 23, 2025Certified Kubernetes Administrator (CKA)
January 11, 2030 - September 23, 2025TensorFlow Developer Certificate
January 11, 2030 - September 23, 2025AWS Certified Machine Learning - Specialty
January 11, 2030 - September 24, 2025Google Cloud Professional Machine Learning Engineer
January 11, 2030 - September 24, 2025Azure AI Engineer Associate
January 11, 2030 - September 24, 2025Certified Kubernetes Administrator (CKA)
January 11, 2030 - September 24, 2025TensorFlow Developer Certificate
January 11, 2030 - September 24, 2025Industry Experience
Software & Internet, Computers & Electronics, Media & Entertainment, Professional Services, Healthcare, Financial Services, Education
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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