Ravie Lakshmanan is a master's graduate with a dual degree in Journalism and Computer Science from Columbia University, New York. He received his bachelor's in computer science from Amrita School of Engineering and has previously worked as a software programmer for Infosys Limited and investment bank Goldman Sachs. In his recent stint, he interned as a data journalist and reporter at Financial Planning covering FinTech, cryptocurrencies and wealth management. He is currently a software engineer developing news products for Scroll.in, and a research contributor at Metafact, a Delhi-based fact-check startup that employs a mix of NLP and AI-driven approaches to tackle fake news and disinformation.

His interest in journalism and technology inspired him to start his own blog in 2011 and he hopes to focus on investigative, data-driven reporting in the world of business, finance and technology. He is also interested in advancing public understanding of new emerging technologies, emphasising on algorithmic accountability and fairness in intelligent systems, and the broader intersection of technology, policy, security and user privacy.


Research Contributor for MetaFact - Byline

Reporter for Financial Planning, On Wall Street and Bank Investment Consultant - Byline

Rise of Intelligent Recruiting Platforms and Questions on Algorithmic Accountability - Online Reputations and Beyond: Rise of Intelligent Recruiting in the Workplace

Russian interference and analysis of bots and Troll accounts in Twitter - Twitter Bots Analysis

Towards Simplified Privacy Policies: A comparative study of different approaches to simplifying privacy policies on the web - Medium

Web Browser Uniqueness and Fingerprinting: A study of Canvas and Cross-Browser Fingerprinting - Medium

User Interface Design Final Project demonstrating a website that allows users to interact with multiple videos - GitHub Link

A viral marketing model by identifying influential users on Instagram - GitHub Link

Understanding Group Dynamics to Identify Sources of Bias - Research Proposal

An email classification algorithm to detect spam using Naive Bayes classifier - GitHub Link

An image classification exercise in machine learning using CIFAR-10 dataset - GitHub Link

A skipgram model for neural networks - GitHub Link

Text summarization of news articles using neural networks (Keras) - GitHub Link

A secure file transfer tool that allows encrypted files to be transferred between a client and a server - GitHub Link

Sentiment Analysis of Tweets posted by U.S. Presidential Candidates - GitHub Link

A Google Chrome extension to spot fake news based on different fake news indicators Analysis like URLs, news sources etc.

Google AMP Story - GitHub Link

A simple internet radio web app - GitHub Link

Bitcoin in charts (2008-2018) - GitHub Link

The Great Smart Home Race of 2018 - GitHub Link

U.S. Patent Search by City - GitHub Link

A History of Stock Market Crashes - GitHub Link

Fatal Police Shootings in the U.S. (2015-2018) - In Progress