Modulai
Bharat Sharma's work experience includes the following roles:
- Machine Learning Engineer at Modulai since December 2021 (current position).
- Rider at Velove from September 2021 to November 2021.
- Machine Learning Master Thesis Student R&D at Ericsson from January 2021 to August 2021. Responsibilities included performing exploratory data analysis and comparing sentence embeddings produced by various NLP deep learning models.
- Machine Learning Innovation Intern R&D at Ericsson from June 2020 to August 2020. Responsibilities included performing unsupervised analysis and clustering of system logs using POC of sentence embeddings algorithm Doc2Vec and probabilistic modeling of topics using LDA.
- Associate Software Engineer at JPMorgan Chase & Co. from January 2019 to April 2019. Key contributions included on-boarding various financial markets to the application, resulting in cost-cutting. Also worked as a Software Engineer from July 2015 to December 2018, developing and supporting banking applications.
- Web Developer Internship at Robust Designs in July 2014, where Bharat gained hands-on training in HTML, CSS, and JavaScript. Also participated in teamwork and networking training sessions and seminars.
Bharat Sharma pursued their education in Computer Science with a specialization in Data Science/Machine Learning. From 2019 to 2021, they obtained a Master's degree from KTH Royal Institute of Technology. Prior to that, they completed their Bachelor of Technology (BTech) in Computer Science from Vellore Institute of Technology, spanning from 2011 to 2015.
In addition to their academic qualifications, Bharat Sharma also holds a certification as an Oracle Certified Associate, Java SE 7 Programmer, which they obtained from Oracle in October 2017.
Modulai
Modulai delivers machine learning products and projects to selected clients, helping them to be even more successful in creating value from data.Modulai’s clients range from startups to multinational companies and they all have in common that machine learning is or could be central for how they operate, compete and create value. Services rangefrom advisory projects, feasibility studies to end-to-end development or refinement of machine learning systems and products. Modulai uses state-of-the-art techniques, always focusing on maximizing business impact, delivering solutions in areas such as credit risk, fraud detection, dynamic pricing, recommendation systems, opportunity spotting, logistics optimization, up-sell, cross-sales, smart building optimization, predictive maintenance and route planning.The team consists of machine learning engineers with a background and strong track record from some of Sweden’s most successful startups.