Dilip Ramesh

Dilip Ramesh

Bengaluru, Karnataka, India
3K followers 500+ connections

About

I am the CTO of Thinkerbell Labs, where we’re disrupting the way the visually impaired…

Activity

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Experience

  • Thinkerbell Labs Graphic

    Thinkerbell Labs

    Bengaluru Area, India

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  • -

    Bengaluru Area, India

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    Goa, India

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    Bengaluru Area, India

Education

Volunteer Experience

  • President - Goa Chapter

    Nirmaan Organisation

    - 2 years 9 months

    Social Services

    Headed a team of over 100 volunteers working in an urban slum on education, health, participative community development initiatives and employment opportunities.

    Mobilized a large team in BITS Pilani Goa to organize Daan Utsav across Goa and Joy of Giving Week on campus. I was closely involved in fundraising, public relations, event planning, management and impact assessment.

Projects

  • Google Summer of Code - Apache Pig - Move Grunt from JavaCC to ANTLR

    - Present

    Apache Pig, which is a distributed data store for Hadoop, has a command line interface which can be used for browsing the HDFS, running file system commands and executing queries in interactive or batch mode. The parser for this is currently written in JavaCC. The project is more on the lines of moving gruntparser to queryparser. The parser for queries is in ANTLR, but Grunt is still in JavaCC. JavaCC is very difficult to work with, and next to impossible to understand or modify. ANTLR provides…

    Apache Pig, which is a distributed data store for Hadoop, has a command line interface which can be used for browsing the HDFS, running file system commands and executing queries in interactive or batch mode. The parser for this is currently written in JavaCC. The project is more on the lines of moving gruntparser to queryparser. The parser for queries is in ANTLR, but Grunt is still in JavaCC. JavaCC is very difficult to work with, and next to impossible to understand or modify. ANTLR provides a much cleaner, more standard way to generate parsers/lexers/ASTs/etc, and moving from JavaCC to Grunt would be huge and a welcome step towards adding more features to Pig.

    See project
  • Integration of ELK (Elasticsearch, Logstash and Kibana) stack with Oracle Cloud PaaS Service Manager

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    ELK (Elasticsearch, Logstash and Kibana) stack integration for PaaS Service Manager
    This project in the broader domain of Data Analytics involved ELK toolkit (Elasticsearch, Logstash and Kibana) for the purpose of parsing, centralized storing and visualization of data from Oracle Cloud PaaS Service Manager.
    Major technologies worked on: Logstash, Kibana, Elasticsearch, shell scripting

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  • Extreme Learning Machines in the field of Automatic Extractive Text Summarization

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    Research on existing methods for text summarization and coming up with an innovative method using Extreme Learning Machines for multi document extractive text summarization. Work involved identifying features of an important sentence, calculating the values for each feature in the feature set for the training and test data (DUC and TAC Datasets), training a model (ELM, SVM and others for comparison) and running the trained model on test data. Results obtained (F1 score and Accuracy) were…

    Research on existing methods for text summarization and coming up with an innovative method using Extreme Learning Machines for multi document extractive text summarization. Work involved identifying features of an important sentence, calculating the values for each feature in the feature set for the training and test data (DUC and TAC Datasets), training a model (ELM, SVM and others for comparison) and running the trained model on test data. Results obtained (F1 score and Accuracy) were compared for different classifiers and other methods.

    Other creators
  • twVoteMap

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    A python-coded twitter sentiment analyser. Uses the Twitter Streaming API to get tweets, stores then in a json file, repairs and classsifies the tweets, using a simple positive or negative analysis, and stores them into an SQL database.
    [Then we use php, javascript and the Google Maps API to shoe these tweets on a map with approximate locations.]

    Other creators
    See project
  • Analysis of Data from Smart Grid Technology

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    Analysed data coming from smart meters and provided recommendations and solutions based on this data.

  • Social Network Analysis of email communication data

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    Processed email communication logs to extract useful information and present it in an appealing visual manner.

Languages

  • English

    Native or bilingual proficiency

  • Kannada

    Native or bilingual proficiency

  • Hindi

    Limited working proficiency

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