Mohammad
Lucknow, Lucknow Division, Uttar Pradesh, India
Experience: 12 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: C, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, NumPy, pandas, Python3, PyTorch, scikit-learn, TensorFlow, Unix
Previously worked at: Fortune 500, Startups
Assessment Score: 59
- Accomplished Machine Learning Engineer with Advanced Expertise
Over 5 years of experience in software engineering, including 3+ years specializing in machine learning and artificial intelligence. Holds a Master of Science in Machine Learning from Liverpool John Moore’s University and a Postgraduate Diploma in ML & AI from IIIT Bangalore, complemented by strong certifications like the Deep Learning Specialization (Andrew Ng) and Oracle Certified Generative AI Professional. - Proven Track Record in Predictive Modeling and Optimization
Developed and deployed predictive maintenance models achieving 91% accuracy, reducing unplanned downtime by 13%, and lowering maintenance costs by 6%. Successfully engineered an NLP-based system for failure pattern identification, leading to a further 8% improvement in equipment uptime and lifecycle optimization. - Extensive Experience in Key Machine Learning Projects
Executed impactful projects including fraud detection with 95% accuracy, customer churn prediction with 87% accuracy, and sentiment analysis with 94% accuracy. Demonstrated proficiency in feature engineering, anomaly detection, and leveraging advanced algorithms like attention mechanisms and transfer learning for scalable solutions. - Strong Technical Skills in Tools and Frameworks
Proficient in Python, C, and SQL with expertise in libraries like TensorFlow, PyTorch, and Scikit-learn. Skilled in cloud computing with AWS SageMaker and Airflow, and adept at data analysis, exploratory data visualization, and ETL processes using modern tools such as Jupyter Notebooks, Weights and Biases, and MLflow. - Software Development and Leadership Excellence
Enhanced system performance through multi-threaded architectures, dynamic memory optimization, and legacy code refactoring. Played a key role in reducing routine operation times by 70% using Korn Shell scripting and boosting data processing efficiency by 30%. Collaborated across teams to implement performance tools and ensure reliable system delivery. - Volunteerism and Community Engagement
Active contributor to societal causes, including organizing blood donation drives and participating in environmental initiatives like plantation campaigns with Isha Foundation. Brings a blend of technical expertise and community engagement to promote sustainability and social responsibility.