Saksham Awasthi
Palampur
Summary
Driven software engineer with expertise in machine learning and web application development. Proven ability to optimize code and enhance system performance using JavaScript, Node.js, and React. Skilled in project management and developing secure, innovative software solutions at VeriKraft India.
Overview
1
1
year of professional experience
Work History
Associate Software Engineer
VeriKraft India
Work From Home
12.2024 - Current
- Analyzed code and corrected errors to optimize output.
- Implemented code changes according to user requirements.
- Designed, developed and implemented firmware to support embedded system product concepts.
- Implemented modular JavaScript solutions for efficient frontend-backend development leveraging NEU, LIT, and Node.js.
- Strengthened system security through work on fastify sessions and data encryption.
Trainee Engineer
VeriKraft India
Work From Home
06.2024 - 12.2024
- Conducted evaluations of finished projects for compliance.
- Integrated diverse models to assess performance against workflow demands.
- Gained understanding of UI workflow.
- Updated and maintained databases with current information.
Education
B.Tech. - CSE
Jaypee University Of Information Technology
Waknaghat, H.P.06.2024
Skills
- Machine Learning
- Artificial intelligence
- JavaScript development
- Web application development
- Windows operating systems
- Database maintenance
- Node , React , LIT
- Django , Python
- C , C , JAVA
- Code optimization
- Team collaboration
- Project Management
Projects
- Object detection, JUIT, This project was made as a major project for my Final year of engineering. This project was based on Machine learning and Deep learning tools and models to detect objects that were placed in front of the camera lens. A front end was designed and some data was even collected and labelled by myself., 08/01/23, 05/31/24
- Sentiment Analysis of Amazon Reviews, JUIT, I worked on this project based on Machine learning and a deep learning pre-trained model Roberta. We used VADER and BOW (Bag Of Words) approach of Machine Learning. The Project predicted on a scale from -1 to 1 the sentiment (positive or negative) of the sentence that is input., 02/01/23, 05/31/23
Timeline
Associate Software Engineer
VeriKraft India
12.2024 - Current
Trainee Engineer
VeriKraft India
06.2024 - 12.2024
B.Tech. - CSE
Jaypee University Of Information Technology
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