About

Undergrad Researcher at LTRC, IIIT-H. Exploring CTFs, NLP and CP.

Publications

Computational Humor Classification & Generation

Towards Conversational Humour Analysis and Design, Humor Research Conference 2021

  • Comparative Analysis of Feature Based Machine Learning classifiers for detecting Humor using: Logistic Regression, Naive Bayes & Support Vector Classifiers.
  • Achieved a F1 score for classification of 0.63 on the Reddit dataset.
  • Explored Humor Generation using Bi-LSTMs in PyTorch.

Work Experience

Backend Developer, Cloudphysician

Cloduphysician Website

  • Designed and set-up an intranet website for Cloudphysician from scratch using MERN stack.
  • Created efficient database schemas & handled MongoDB clusters.
  • Managed a team of 3 developers, oraganised client meets and scheduled deadlines, leading to a successful completion.

Hackathon Wins

Social Media Search Engine for Financial Markets

Echodex, Sentiment & Opinion Mining Natural Language API Hackathon, Expert.ai

  • Aggregates data from Twitter, Reddit and News APIs, providing a comprehensive analysis of market sentiments and opinions.
  • Handled and integrated multiple APIs from Expert.ai for the analysis.

Walmart Product Clustering using K-Means

Domain Specific Search Engine, TAMU Datathon 2020, sponsored by Walmart

  • Trained an agent on Google’s Dialogflow platform, to extract semantic information from user queries.
  • Leveraged TF-IDF with K-Means clustering to find Walmart products semantically related to extracted user inputs. Also recommend similar products.

Confession Generator

Confession Generator, IIIT-H Intra-Batch Hackathon

  • Implemented and compared a character based LSTM model and GPT-2 model to generate text.
  • GPT-2 was fine-tuned on undergrad college data.

[PoC] Chatbot from SMEs

Analysy.ai, Summer Up, E-Cell IIIT-H

  • A Proof-of-Concept business administration tool for Small and Mid-Size Enterprises (SME).
  • Worked on SpaCy pipelines for text-processing for the chatbot.

Projects I am Proud of

DistilBERT for Sentiment Analysis on Financial Data

Dr-Bear, hackUMass Hackathon

  • Fine-tuned the DistilBERT transformer model from Hugging-Face to extract Market Sentiments.
  • Improved classification accuracy from 80% to 85%

Named Entity Recognition for FIFAWC 2018 Tweets

Domain NER, College Project

  • Identifies named entities in twitter data for FIFA WC 2018 using Bi-LSTM Model with CRF, in Tensorflow 2.0.
  • Gained accuracy of 93% on testing data.

Skills

  • Agile
  • C/C++
  • Docker
  • Git
  • HTML
  • JavaScript
  • Keras
  • MongoDB
  • MySQL
  • NLTK
  • Pandas
  • Python3
  • PyTorch
  • Shell Scripting
  • Sklearn
  • SpaCy
  • Tensorflow 2.0

Education

B.Tech in Computer Science + M.S. by Research in Computational Linguistics (9.05 CGPA)

International Institute of Information Technology, Hyderabad

  • Computer Programming (C)
  • Computer Systems Organization (Assembly)
  • Data Structures & Algorithms (C++)
  • Algorithm Analysis & Design (Python3)
  • Automata Theory (Python3)
  • Introduction to Software Systems (HTML/CSS/JS)
  • Design & Analysis of Software Systems (Agile + MERN)

Linguistic & NLP courses

  • Intro to Linguistics I (Python3)
  • Intro to Linguistics II (Python3)
  • Computational Linguistics I (Python3 + NLTK + Tensorflow 2.0)
  • Computational Linguistics II (Python3 + NLTK + PyTorch)
  • Intro to NLP (Python3 + PyTorch)

12 Board CBSE - 93.4%

10th Board ICSE - 96.6%

Interests

Contact

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