Over a decade (14+ years) of diverse and rich experience in the Software and Data engineering challenges in Nano manufacturing semiconductor Defect Inspection domain. I have a keen interest in applying efficient and pragmatic approaches in application design, development and machine learning.
- Role
AI/ML Architect | Algorithm Engineer
- Years of Experience
7.58 years
Skillsets
- Java
- Indexing
- Observability
- Online monitoring
- Priority scheduling
- Resource utilisation
- roadmap planning
- Scaling
- Unsupervised methods
- Dynamic weight initialisation
- Under-sampling techniques
- Auto-encoder based methods
- In-memory decompression
- Drift monitoring
- Python
- PyTorch
- Computer Vision
- Scikit-learn
- Big Data
- Data Engineering
- Generative AI
- SciPy
- Cnn
- Data Analysis
- Machine Learning
- SQLite
- gans
- Java
- Lambda
- Mongo DB
- MySQL
- NumPy
- pandas
- Postgres
- Pydantic
- Python - 10 Years
- PyTorch
- AWS - 4 Years
- SAM
- SQL - 14 Years
- anomaly detection
- application design
- Big Data
- Caching
- CRUD operations
- Data Engineering
- device management
- Distributed Caching
- Domain Adaptation