Vaibhav Motwani

Bern, Switzerland

Full-Stack Developer & M.Sc. Computer Science Candidate

Master of Science in Computer Science student with a strong background as a Full Stack and Backend Developer. Experienced in building high-traffic banking applications, scalable backend systems, and implementing complex deep learning and machine learning pipelines.

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Experience

Full-Stack Developer (Part-time)

June 2024 - Feb 2025

MeiMed GMBH — Bern, Switzerland

  • Designed, developed and deployed a web based application for processing medical bills using Streamlit, Python, and MSSQL.
  • Applied a series of validation, preprocessing and computation rules before storing the cleaned and structured data.
  • Built reporting and visualization tools followed by predictive modelling using Clustering.

Backend Developer

Jan 2023 - Jan 2024

TrestleIQ — Seattle, USA (Hybrid)

  • Integrated diverse data sources into Opensearch periodically using Spring Batch, orchestrating the process via AWS EC2.
  • Developed data processing logic using partitioning, normalisation, and rigorous validation.
  • Consistently delivered over 15K API responses daily, with a 99% hit rate under 99ms using Kubernetes.

Full Stack Developer

Aug 2019 - Jan 2023

Barclays — Pune, Maharashtra, India

  • Led the development for two high-traffic banking mobile applications that serviced nearly 10M monthly users.
  • Oversaw systems architecture using Java Backend, JS Frontend, MySQL and ElasticSearch.
  • Led the Gateway developer team for BMB, mastering challenges on a massive legacy JAVA codebase.

Industrial Intern

May 2018 - July 2018

Thermo Fisher Scientific — Bangalore, Karnataka, India

  • Analyzed experimental params using Kibana for data visualization and Elasticsearch for querying.
  • Predicted activation barriers using PySpark's K-means algorithm, achieving 96.12% efficiency.
  • Built REST API to fetch and serve predicted data using Java and Spring JPA.

Latest Projects

Twitter Dataset Analysis

Created Neo4j models to simulate basic search, sort, and select operations while maintaining consistency. Analyzed efficiency based on user queries.

Neo4jDatabase Architecture

V2V & V2I Communication Optimization

Reduced CAM size to 200b from 750b by optimizing broadcast trace info, reducing packet delay up to 42.8% at 50m spacing.

VEINSNetwork SystemsC++

Education

University of Bern, Switzerland

Master of Science, Computer Science

Includes coursework at ETH Zurich.

Feb 2024 - Present

Indian Institute of Technology Guwahati

Bachelor of Technology in Chemical Science and Technology

Completed Bachelor's Thesis on V2V & V2I Communication Optimization in ITS.

Jul 2015 - Jun 2019

Technical Stack

Languages: Java, Python, Javascript, Typescript, HTML, CSS, C++

Frameworks: SpringBoot, SpringBatch, React, Streamlit, React-native

Cloud & Infra: Git, Docker, CI/CD, Cloud Computing, AWS EC2, Kubernetes, Agile/Scrum

Achievements

  • Skillenza 2024: 1st among 40 teams in hackathon organized by Shadowfax (won 300K INR)
  • GRE 2023: 324 score with a perfect 170/170 in the quant section (among top 3% of all test takers)
  • IELTS 2023: 8-band score, classified as a 'Very good user'
  • JEE 2019: Ranked in the top 0.1% out of 1.3 million candidates for the Joint Entrance Examination Advanced

Interests & Hobbies