Hi, I'm Ishparsh Uprety.
A
Self-driven, quick starter, smart working programmer with a curious mind who enjoys solving a complex and challenging real-world problems.
About
Well, I am working as Associate Machine Learning Engineer at Bottle Technology, Jhamsikhel. Currently, I am working on OCR for Nepali Citizenship where I am involved in image enhancement and NLP/NER using spacy. Talking about my education I have completed my Bachelor's of Technology in Computer Science and Engineering from IIMT University, Meerut. Beside my education I have done different kind of training from coursera in Data Science and Google Compute Engine. My aim is to work with data to address real-world issues that has affected millions of people.
- Languages: Python, C, C++, HTML/CSS
- Databases: MySQL, PostgreSQL, MongoDB, SQLite
- Libraries: NumPy, Pandas, OpenCV, Matplotlib,
- Frameworks: Flask, Django, Keras, TensorFlow, PyTorch, Bootstrap
- Tools & Technologies: Git, Docker, AWS, GCP, JIRA
Looking for an opportunity to work in a challenging position combining my skills in Machine Learning Engineering, which provides professional development, interesting experiences and personal growth.
Experience
- Worked on Image pre-processing, Noise removal, feature extraction techniques & built web application for broker company with auto fill feature by implementing OCR on Citizenship, Bank Cheque, and BOID information.
- Performed research on efficient OCR tool available on AWS, Google Cloud, NanoNets, EasyOCR & Tesseract.
- Designed a model to extract image from citizenship and enhanced them to calculate matching probability with selfie images .
- Designed a NER model using Spacy 3.0 as well as for better result annotation of data was also implemented.
- Tools: Python, Flask, Spacy, EasyOCR, Tesseract
- Created web application that predicts age, gender, sentiments using S3, Lambda and Boto3
- Developed Corona cases visualizing and predicting web applications and worked on various AI ML projects on Sagemaker
- Created docker container on AWS that remove the noises from image using S3, Lamda and Boto3
- Develop a Flask Web App Using Using AWS EC2.
- Tools: Python, Flask, OpenCV, Keras, Tensorflow, PyTorch
Projects
Skills
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Education
Meerut, India
Degree: Bachelor of Technology in Computer Science and Engineering
Percentage: 83.4
- Artificial Intelligence
- Object Oriented Programming Languages
- Cloud Computing
- Design and Analysis of Algorithms
Relevant Courseworks: