About Me:

I am Vaibhav Vikas, a software developer from New Delhi, India. I have completed Master from NIT Trichy, India. I have a great experience in Python, Go, Flask, Angular, Node, Microservices and Backend Technologies including Machine Learning. I like to explore technologies and keep on developing new projects.

I developed a keen interest in Machine Learning so I have started studying and implementing different algorithms and analysing various datasets and started competitions on Kaggle.


Education:

Master of Computer Applications

National Institute of Technology, Tiruchirappalli (NIT Trichy)

August 2018 - July 2021
CGPA: 9.14/10.0

Bachelors of Science (Hons.) Mathematics

P.G.D.A.V. College (Eve.), University of Delhi (DU)

July 2014 - June 2017
Percentage: 68.73%


Skills:

Programming Languages:

• Python • Go • Java

Data Science:

• Machine Learning

Frameworks:

• Apache Airflow • Sklearn • Pandas • NumPy

Web Frameworks & Libraries:

• Flask • Spring • Gin • Gorm • Angular • Angular Material

Operating Systems:

• Windows • Linux (Ubuntu, Red Hat) • Mac OS

Databases:

• PostgreSQL

Others:

• Git • GitLab • Github • CI/CD • Redis • AWS • GCP • Docker


Professional Experience:

NTUC Enterprise

Software Developer Engineer
July 2023 - Present

Logfire.ai

Software Developer Engineer
May 2023 - July 2023

Open Financial Technologies Pvt. Ltd.

Software Developer Engineer
September 2022 - Present

BNY Mellon Technology Pvt. Ltd.

Associate Software Developer
July 2021 - September 2022


Internships:

BNY Mellon Technology Pvt. Ltd.

Software Developer Intern
Jan 2021 - June 2021

BNY Mellon Technology Pvt. Ltd.

Software Developer Intern
May 2020 - July 2020


Projects:

Housing Price Prediction

Python and Machine Learning

  • A machine learning project based on Kaggle Housing Price Prediction competition using XGBoost. Got a score of 14997.
  • The project has all the steps including Preprocessing which fixes missing data and categorical data, and Pipeline which streamlines the process in a single step from fitting and predicting the data.

Distributed Cloud (KLA+ Hackathon'20)

Python and Flask

  • A distributed cloud storage like google drive using Flask, where user can store and retrieve any files.
  • All files are chunked based on the json provided and stored in servers with load balancing.
  • End to End Encryption on chunks to provide extra security.

… See all projects


Certifications:

Google Go Specialization

Coursera, October 2022
Credential Id: XPZSRCAJNPX2

Python Specialization

Coursera, August 2020
Credential Id: 5JHL6J6K4EKL

… See all certifications


Publications:

Global epidemiology of CTX-M-type β-lactam resistance in human and animal

Chanchal Rana, ..., Vaibhav Vikas, et al.
Comparative Immunology, Microbiology, and Infectious Diseases.
Volume 86, July 2022, 101815.
Doi: https://doi.org/10.1016/j.cimid.2022.101815


Achievements:

Academic Achievements:

Extra Curricular Activities: