About
Highly accomplished Machine Learning Engineer and AI Researcher with expertise in deep learning, data analysis, and open-source contributions. Proven ability to develop and optimize complex AI/ML models, enhance data quality, and streamline workflows for autonomous driving systems and enterprise solutions. Contributed significantly to Apple's deep learning frameworks and led impactful projects in recommendation systems, NLP, and computer vision, demonstrating a strong track record of delivering measurable results and driving innovation.
Work
NVIDIA Inc.
|Process Associate
Remote, Madhya Pradesh, India
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Summary
Managed high-volume 2D/3D image and video datasets, ensuring quality and compliance for autonomous driving systems while collaborating with cross-functional teams.
Highlights
Managed and processed high-volume 2D/3D image and video datasets critical for autonomous driving systems development.
Audited annotated data to ensure stringent quality, consistency, and compliance standards were met.
Utilized HumanLoop and internal dashboards to monitor data accuracy and optimize workflow efficiency.
Collaborated effectively with remote cross-functional teams, ensuring timely delivery of sensitive projects.
ABQ Technologies Noida
|Intern
Noida, Uttar Pradesh, India
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Summary
Spearheaded the development of an advanced Python-based data crawler, achieving 99.9% data accuracy and optimizing compliance workflows by 30% for government and enterprise clients.
Highlights
Developed an advanced Python-based data crawler for auditing satellite receiver logs, ensuring 99.9% data accuracy for government and enterprise clients.
Led cross-functional teams to design and implement data integrity standards, optimizing compliance workflows by 30%.
Education
Lovely Professional University Punjab
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Masters
Computer Application hons. ML
Grade: 9.2
SECT Computers
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Diploma
Computer Applications
Grade: 7.5
D.P Chhaturvadi College
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BSc
Mathematics
Grade: 8.8
S.T. Francis of Assisi School
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12th Standard
Science
Grade: 6.21
S.T. Francis of Assisi School
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10th Standard
Science
Grade: 8
Certificates
Skills
Programming Languages
Matlab, Python, C++, Java, SQL, R.
Machine Learning
TensorFlow, MXNet, Keras, Scikit-learn, PyTorch, caffe, axlearn, Apache Spark, Hadoop, Sqoop, Corerec, Deep Learning, NLP, Computer Vision, Recommendation Systems, Model Optimization.
Data Analytics & Visualization
Pandas, Numpy, Matplotlib, PowerBI, Data Preprocessing, Data Auditing, Data Quality.
DevOps
Docker, Kubernetes, Git, CI/CD Pipelines, Model Deployment.
General Skills
Cross-functional Collaboration, Project Management, Workflow Optimization, Open Source Contribution, Testing & Debugging.
Projects
Apple/IntraLanguageInterfaces - Modular Deep Learning Research Framework Contribution
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Summary
Contributed to Apple ML Engineers' open-source project, collaborating with industry experts to enhance machine learning infrastructure and tools.
Detecting Leukemia Using Convolutional Neural Network
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Summary
Developed a Convolutional Neural Network (CNN) to detect leukemia from medical images, utilizing Python, NumPy, and Pandas.