Senior Machine Learning Engineer
Artificial Intelligence Engineer
Available for hire
Years of
experience
9+ years
Experience
level
Senior
Available
for
Full-time, Part-time, Contract, Freelance
Available from
28 Jun 2026
What makes me unique is the combination of strong AI/ML depth and production engineering experience. I don’t just build models—I take them all the way into real systems through APIs, data pipelines, cloud deployment, optimization, and monitoring.
Across my work in credit scoring, property valuation, customer engagement, and robotics, I’ve focused on turning complex AI ideas into practical, scalable solutions with measurable business impact. I also bring a strong optimization mindset, using tools like CVXPY alongside ML to improve not just predictions, but real decisions.
Skills
JavaScript
TypeScript
React.js
Next.js
TensorFlow
Node.js
Express.js
Tailwind CSS
SQL
Kafka
Web sockets
WebRTC
Opencv
GitLab
WebGL
SASS
NoSQL
REST
Supabase
OpenAI
npm
React Query
Natural Language Processing
MERN stack
PostgreSQL
Firebase
SQLite
Git
GitHub
CI/CD
Web services
ChatGPT
Machine Learning
Stripe
PayPal
Deep learning
Python
MS SQL Server
MariaDB
Flask
Django
FastAPI
NumPy
PyTorch
OpenGL
LangChain
Employment History
Senior Machine Learning Engineer at
Cybernef Technologies
Current
2022
-
Now
•Design, train, and deploy machine learning models for computer vision and NLP, delivering scalable AI solutions with optimized performance.
•Develop and optimize deep learning models using TensorFlow and PyTorch, ensuring high performance and reliability in production systems.
•Design and implement scalable data pipelines to support ML model training, evaluation, and production inference at scale.
•Perform data preprocessing, feature engineering, and augmentation to enhance machine learning model accuracy, robustness, & generalization.
•Develop computer vision solutions using OpenCV and deep learning techniques for accurate image & video analysis in real-world applications.
•Deploy and manage machine learning models using FastAPI, Docker, and CI/CD pipelines, ensuring scalable, reliable solutions on AWS and GCP.
•Build low-latency AI systems with Redis and Celery, incorporating graph-based modeling (Neo4j) and CVXPY optimization techniques
AI/Ml Developer at
Netsol Technologies Inc
2020
-
2022
•Built and deployed production-ready machine learning models, optimizing performance for real-world AI applications across industries.
•Built & deployed deep learning models with TensorFlow and PyTorch for computer vision and NLP tasks, achieving high accuracy & scalability.
•Built scalable data pipelines & engineered features to support predictive modeling, analytics & high-performance machine learning workflows.
•Performed data preprocessing and analysis on large datasets using Python and Pandas to support predictive modeling and decision-making.
•Designed and integrated FastAPI endpoints for machine learning models, enabling seamless production deployment and real-time inference.
•Built and deployed containerized ML solutions using Docker and Kubernetes, leveraging AWS and GCP for scalable, reliable performance.
•Built real-time AI workflows and monitoring systems with Redis, Celery, and ELK stack, improving performance and observability
Python Developer at
ArhamSoft
2016
-
2019
•Write clean, efficient, and reusable Python code following best practices and coding standards.
•Collect, process, and analyze structured and unstructured data to support applications and reporting.
•Build and manage RESTful APIs using FastAPI for scalable web and internal services.
•Design and maintain data pipelines and ETL workflows for reliable data processing systems.
•Work with relational and NoSQL databases to store, query, and manage application data.
•Optimize performance using Redis caching and implement asynchronous processing with Celery.
•Deploy containerized applications using Docker with CI/CD pipelines on AWS and GCP environments.
Education
Master's in Artificial Intelligence at
COMSATS
2017
-
2019