Khalid Usmani
@khalidusmani
Senior AI/ML engineer specializing in scalable ML systems, MLOps, and deploying production-grade AI solutions.
What I'm looking for
I am a Senior AI/ML engineer with over a decade of experience designing, developing, and deploying scalable backend systems and AI-driven applications.
I build high-performance web applications and APIs using Django, Flask, and FastAPI while integrating machine learning and deep learning solutions with PyTorch, TensorFlow, and Scikit-learn.
I specialize in cloud-native development and MLOps—using AWS, Docker, Kubernetes, MLflow, CI/CD pipelines, and workflow orchestration tools to reliably take models from experiment to production.
I mentor teams, implement robust data pipelines and monitoring, and integrate LLM and generative AI tools such as LangChain, OpenAI API, and Hugging Face Transformers to deliver scalable, maintainable AI systems.
Experience
Work history, roles, and key accomplishments
Lead Python Developer
Lenovo
Feb 2022 - Present (3 years 9 months)
Developed and deployed ML models and backend services, integrating LLMs and MLops to deliver scalable AI platforms and automated pipelines for enterprise workloads.
Senior AI/ML Engineer
Inoxoft
Dec 2018 - Jan 2022 (3 years 1 month)
Led design, development, and deployment of ML models and end-to-end data pipelines, applying MLOps and cloud services to productionize high-throughput AI solutions.
Software Engineer
Bloomfire
Mar 2015 - Jul 2018 (3 years 4 months)
Built and deployed ML models and full-stack applications, implemented CI/CD and containerized workflows, and maintained data pipelines and model monitoring in production.
Education
Degrees, certifications, and relevant coursework
University of Bridgeport
Master of Science, Computer Science
Completed a Master of Science in Computer Science focusing on advanced topics in machine learning and software engineering.
Sir Syed University of Engineering & Technology
Bachelor of Science, Computer Engineering
Earned a Bachelor of Science in Computer Engineering with foundational coursework in computer systems, programming, and engineering principles.
Tech stack
Software and tools used professionally
Postman
OpenAPI
Apache Spark
Apache Flink
GitHub
Kubernetes
Jenkins
GitHub Actions
Jupyter
NumPy
Pandas
Dask
MySQL
PostgreSQL
MongoDB
SQLite
Memcached
Hadoop
Django
Tailwind CSS
Material-UI
Databricks
Redis
Terraform
Babel
Vue.js
Svelte
React-Vue
Webpack
JavaScript
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Streamlit
Kafka
RabbitMQ
Django REST framework
FastAPI
Grafana
Prometheus
Linux
GraphQL
Elasticsearch
AWS Lambda
pytest
OAuth2
Airflow
Apache Beam
Root Cause
SQL
XGBoost
Hugging Face
LightGBM
LangChain
Weights & Biases
OpenAI API
Bash
Availability
Location
Authorized to work in
Job categories
Skills
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