Romil B.

Software Engineer

United States12 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building machine learning solutions for user engagement.
  • Proven track record in fraud detection and prevention.
  • Strong background in algorithms and data science methodologies.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and data-driven solutions.

Contact

Skills

Core Skills

Machine LearningAlgorithmsData Science

Other Skills

Causal LearningData MiningData StructuresFake Account DetectionFraud DetectionHarassment PreventionInformation RetrievalModel DeploymentMongoDBMulti-objective OptimizationMultimedia RetrievalProbabilistic ModelsPythonRanking AlgorithmsSocial Network Analysis

Experience

Doordash

Software Engineer

Mar 2021Present · 5 yrs · United States · Remote

  • Tech Lead, Dasher Experience

Linkedin

3 roles

Senior Software Engineer - Machine Learning

Promoted

Dec 2017Mar 2021 · 3 yrs 3 mos

  • I worked on building machine learning solutions for LinkedIn notifications. My work involved building, training, testing, and deploying machine learning pipelines that help members get more relevant notifications through LinkedIn. I have worked on problems related to supervised learning, causal learning, and multi-objective optimization in the context of notifications.
  • https://arxiv.org/pdf/1901.10550.pdf
Machine LearningSupervised LearningCausal LearningMulti-objective OptimizationAlgorithms

Software Engineer - Machine Learning

Jan 2017Dec 2017 · 11 mos

  • As a Machine Learning Engineer at Anti-Abuse Team at LinkedIn, my work involved using machine learning to detect and prevent multiple forms of abuse including spam (invitations/jobs/ads), fake accounts (scam), harassment, and automation (registrations).
Machine LearningSpam DetectionFake Account DetectionHarassment PreventionAlgorithms

Data Scientist

Mar 2015Jan 2017 · 1 yr 10 mos

  • I work with the Security Data Science Team at LinkedIn. As a data scientist I have worked on building and deploying machine learning models for catching bad guys and activities like payments fraud, ads fraud, and scraping on LinkedIn.
Machine LearningFraud DetectionModel DeploymentData Science

Tata consultancy services

Assistant System Engineer (Researcher)

Jul 2011Jul 2012 · 1 yr · Gurgaon, India

  • Building research prototypes for multimedia retrieval and ranking.
  • https://www.researchgate.net/publication/232906233_TWIPIX_A_web_magazine_curated_from_social_media
Multimedia RetrievalRanking Algorithms

Education

International Institute of Information Technology Hyderabad (IIITH)

Master of Science (MS) — Computer Science

Jan 2012Jan 2015

Netaji Subhas Institute of Technology

Bachelor of Engineering

Jan 2007Jan 2011

Kulachi Hansraj Model School

Jan 1992Jan 2007

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