Mohammed Rizin V K is an accomplished AI Engineer specializing in computer vision, natural language processing, deep learning, and Generative AI. He has achieved significant recognition on Kaggle, where he's ranked 38th globally and has earned 3 gold, 7 silver, and 1 bronze medals.
Professional Experience:
Works as a Founding Machine Learning Researcher at Medulla
Served as a Deep Learning Engineer at Fathom Solutions
Completed an internship at NVIDIA as a Deep Learning Engineer
Founded and manages DataBeast, a YouTube channel focused on Data Science education
Notable Achievements:
Won multiple Kaggle competitions, including:
1st place in VinBigData Chest X-ray Abnormalities Detection
2nd place in Bristol Myers Squibb Molecular Translation Competition
11th place in SIIM-FISABIO-RSNA COVID-19 Detection
Received the Kerala State Ujjwal Bhalyam Puraskar award for outstanding achievements under age 18
Education:
Currently pursuing a Bachelor of Science in Data Science and Applications at IIT Madras (Expected graduation: 2028)
Maintains a CGPA of 8.5
Technical Expertise:
Machine Learning & AI
Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, HuggingFace Transformers
Areas: Computer Vision, Deep Learning, Generative AI, NLP, Reinforcement Learning
Techniques: Transfer Learning, Model Distillation, Ensemble Methods, Few-shot Learning
MLOps & Deployment
Experiment Tracking: Weights & Biases, MLflow, TensorBoard
Model Serving: TorchServe, TensorFlow Serving, NVIDIA Triton
Containerization: Docker, Kubernetes
CI/CD: GitHub Actions, Jenkins
Cloud Platforms: AWS SageMaker, Google Cloud AI Platform, Azure ML
Development & Tools
Languages: Python, C++, CUDA
Infrastructure as Code: Terraform, CloudFormation
Monitoring: Prometheus, Grafana
API Development: FastAPI, Flask, Django
Mohammed comes across as a technically skilled professional who combines practical AI engineering experience with academic excellence and a strong commitment to community service and education.
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Experience
Founding Machine Learning Researcher
Jul, 2023 - Present
•
1 year, 6 months
Medulla
Jul, 2023 - Present
•
1 year, 6 months
Led the Machine Learning Team, developing deep learning models for Medulla intelligence, enhancing recommendation accuracy by 60% in production.
Streamlined deployment by integrating NVIDIA Triton, TensorBoard, and Jenkins.
Built Chatbots using Flask and FastAPI, integrating RabbitMQ and Redis for real-time data processing.
Utilized Terraform for scalable cloud-based ML solutions.
Collaborated on Maximo, integrating advanced AI techniques for enhanced functionality.
Malappuram, India
Jul, 2023 - Present
•
1 year, 6 months
Founder & Content Creator
Jul, 2022 - Present
•
2 years, 6 months
DataBeast
Jul, 2022 - Present
•
2 years, 6 months
Created and managed a YouTube channel focused on teaching Data Science and Computer Science concepts, reaching a global audience of aspiring data scientists.
Produced high-quality tutorials on Python, Machine Learning, and AI, simplifying complex topics for beginners.
Built a community of learners by providing practical, hands-on examples and engaging in Q&A sessions.
Malapppuram, India
Jul, 2022 - Present
•
2 years, 6 months
Junior Data Scientist | Deep Learning Engineer
Dec, 2021 - Jul, 2023
•
1 year, 7 months
Fathom Solutions
Dec, 2021 - Jul, 2023
•
1 year, 7 months
Developed and optimized road damage detection models, achieving a 0.6x mAP validation score using PyTorch and OpenCV.
Designed and deployed an online prediction model using TensorFlow.js, enabling low-latency inference for front-end applications.
Leveraged AWS SageMaker for model training and deployment, and Weights & Biases for experiment tracking and hyperparameter optimization.
Managed PostgreSQL databases for efficient data storage and retrieval, ensuring high performance.
Ad Dammam, Saudi Arabia
Dec, 2021 - Jul, 2023
•
1 year, 7 months
Education
Indian Institute of Technology, Madras
2024 - 2025
•
1 year
BS Data Science and Application
India
2024 - 2025
•
1 year
Qualifications
Fundamentals of Accelerated Data Science with RAPIDS
2022
NVIDIA Deep Learning Institute
NVIDIA's RAPIDS certification demonstrates expertise in accelerated data science using GPU-powered libraries. This certification validates proficiency in high-performance computing for large-scale data processing, analytics, and machine learning workflows.
Essential skills covered include accelerated DataFrame operations, GPU-accelerated ML algorithms, and optimizing data science pipelines for maximum efficiency.
2022
Kerala State Ujjwal Bhalyam Puraskar
2022
Ministry of Women and Child Development, Kerala
Recognized for outstanding achievements in national and international fields under the age of 18.
2022
11th Place (Gold Medalist) SIIM-FISABIO-RSNA COVID-19 Detection
2021
Google Kaggle
Led a team to develop 20 classification and 15 detection models, achieving exceptional validation results and securing gold medal Internationally.
Applied computer vision techniques and ensemble methods to localize abnormalities in chest X-rays.
2021
Verifications
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