Vaibhav Vikas

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

Delivered OCBC bank account linking for GIRO setup, enabling over 20K+ users to seamlessly link accounts.
Implemented a discount module for percentage-based and fixed-rate discounts, resulting in real-time invoicing adjustments benefiting over 40K+ users across the platform.
Created essential cron jobs (Missing Bank Account Reminder, HHI Report, Linkpoint Reward), automating tasks and saving 100+ hours weekly.

Logfire.ai

Software Developer Engineer
May 2023 - July 2023

Architected and developed a fully interactable logfire-clie from scratch, leveraging Factory pattern. Also packaged and added brew tap and scoop installation for the cli.
Worked on logfire Backend to integrate kafka consumer, SQL Autocompletion and other features and improvements to middlewares.

Open Financial Technologies Pvt. Ltd.

Software Developer Engineer
September 2022 - Present

Currently developing embedded finance solutions on Cards, KYC, and Lending Microservices using Go, Gin, and Gorm for Zwitch, a cutting-edge no-code fintech platform.
Owned and developed the Cards Microservices, overseeing all APIs related to credit, debit and prepaid cards creation, activation, blocking/unblocking, transactions, reversals, and settlements.

BNY Mellon Technology Pvt. Ltd.

Associate Software Developer
July 2021 - September 2022

Worked on CCAR on various Python Risk Models like CMM (Commercial Mortgage Metrics) and, their workflow implementation via Apache Airflow.
Worked on Data Extractor to create templates and further extract the data from the database using Python, Flask, and Angular.
Involved in company's private tools for CI/CD, application monitoring, error logging, and server deployment.

Internships:

BNY Mellon Technology Pvt. Ltd.

Software Developer Intern
Jan 2021 - June 2021

Worked on CCAR Dashboard to design the end-to-end flow of Model Execution from the UI using Angular.
Worked on creating Microservices using Flask to get various model details and trigger its execution.
Worked in different deployment environments (Dev, UAT, Prod).

BNY Mellon Technology Pvt. Ltd.

Software Developer Intern
May 2020 - July 2020

Worked on Cognitive Agent to automate various employee related tasks with RASA framework in Python.
Worked on UI in Angular and Microservices using Java Spring Boot to process the requests.

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

Worked on fetching 2100+ nucleotides sequence from NCBI by its accession number using Python, Selenium and Beautifulsoup.
Worked on various utilities such as generating the heat map using Python and d3.js.

Achievements:

Academic Achievements:

Secured AIR 1 in BIT MCA, AIR 3 in NIMCET, AIR 4 in Pune University, and AIR 10 in BHU All India MCA Entrance Exam in 2018.
Winner, KLA+ Cloud Storage Challenge’20 at NIT Tiruchirappalli.
Winner, Datathon in Login’19 at PSG College, Coimbatore, Tamil Nadu.
Secured 2nd Position in Al-Go-Code in Login’19 at PSG College, Coimbatore, Tamil Nadu.
Secured 2nd Position in Weave-o-Web in Infotrek’19 at NIT Trichy.

Extra Curricular Activities:

Secured 2nd Position in Graffiti Designing in NITTFEST’19 at NIT Tiruchirappalli.
Secured 2nd Position in Wall Painting in NITTFEST’19 at NIT Tiruchirappalli.
Secured 2nd Position in Group Street Dance in Rendezvous’14 at IIT Delhi.