Vikas Negi

SKILLS / HIGHLIGHTS

Designed framework for internal software migration to GitHub, set up CI/CD using GitHub Actions and Artifactory, code quality monitoring using TIOBE TiCS TQI.
Responsible for group’s (~ 50 engineers) MATLAB architecture roadmap, wrote new design documents for essential software components, supervised timely reviews, and oversaw stakeholder management.

Performed simulations and generated valuable insights using advanced data analysis techniques to highlight strength of lithography software packages to new customers, leading to business growth and generating additional revenue for ASML.
Involved in coaching junior engineers, supervised team participation in multiple hackathons, part of organization committee for ‘DUV Innovation Marketplace’ on a department level.
Developed and maintained various internal Julia data analysis and visualization packages for the ASML community

Coordinated several projects leading to key software deliveries for ASML’s flagship DUV lithography systems, thus contributing to 2022 net sales of €21.2 billion, gross margin of 50.5%, and net income of €5.6 billion.
Improved cross-functional competence by building knowledge transfer documents and participating in design reviews
Independently supported various critical escalations (machine issues) via efficient communication channels with local teams and customers in multiple time zones (Singapore, Taiwan, Japan and France)

Performed state of the art computational modeling combined with in-house optical experiments to study phase separation in organic thin films during spin-coating
Established and coordinated external collaboration with research groups in Germany, Russia and United States resulting in multiple publications.
Demonstrated excellent communication skills through talks and posters at various international conferences in Europe (ICSM 2014, Turku; HOPV 2018, Benidorm) and Asia (ICSM 2016, Guangzhou)

Master’s Thesis: Used Density Functional Theory to study methanation on a cobalt catalyst during Fischer-Tropsch synthesis
Worked in a multi-disciplinary and cross-functional team of material scientists, computational physicists and geologists.
Added significant value to computational R&D at Shell, received the highest grade for master’s thesis based on this work.

Received a DAAD scholarship to travel to Germany, and perform cutting-edge experimental research in a world-class laboratory.
Learned a novel spectroscopy technique involving high-frequency high-magnetic field electron spin resonance in a short period of two months

Contributed to the development of open-source Spotify.jl, which is a Julia wrapper for the Spotify API.
Analyzed Spotify usage data, extracted audio features, visualized their distribution and correlation.
Documented results in an easy-to-us, interactive and reproducible Pluto notebook. Article published in Towards Data Science – a medium publication with over 600,000 followers

Using GitHub’s API, extracted and compared key activity metrics for a number of open-source packages within the Julia ecosystem.
Article published in Towards Data Science – a medium publication with over 600,000 followers.

Performed data cleaning, feature extraction, analysis and visualization of historical activity data recorded via a Samsung smartwatch.

Developed an interactive browser-based dashboard to visualize cryptocurrency asset prices, volume and activity (data from multiple sources) on major exchanges around the world.
Implemented analysis and visualization of various technical indicators such as cumulative and daily returns, MACD, linear regression, Bollinger bands etc.
Package has been registered in the Julia general registry (available to everyone around the world), and is maintained with full CI/CD using GitHub Actions and Docker.

Built from scratch a new Julia package, that provides REST API access to both public/private endpoints of Coinbase Pro.
Data is securely fetched, cleaned and transformed into usable types such as a DataFrame, which allows for easy filtering, analysis and visualization.
Full CI using GitHub Actions and automatic documentation update using Documenter.jl

Developed from scratch a new Julia package, which interfaces with Bitcoin’s JSON-RPC API accessible via a locally running node.
Implemented making requests in batch mode for faster performance while doing on-chain analytics
Implemented a caching mechanism to drastically speed-up repeated calls to the same function
Added visualization support for key blockchain metrics, faster plotting right within the Julia REPL.

Performed cleaning, accumulation, analysis and visualization of S.M.A.R.T monitoring data of ~ 235,000 disk drives provided by Backblaze.
Extracted key insights into correlation between certain S.M.A.R.T parameters and failed drives
Article published in Geek Culture – a medium publication with ~ 30,000 followers

Set up a HTTP server for accessing thermostat data using Docker
Built a simple linear regression model to predict home gas usage based on outside temperature