hello there! i'm,

Madhu​mitha Nara

About Me

I'm Madhumitha, currently a senior pursuing Information Technology. I come from Visakhapatnam, Andhra Pradesh. I am a developer and machine-learning enthusiast, interested in making ML accessible to everyone.


I play Chess and Basketball and love organizing and creating. My hobbies include reading books and writing poems and short stories. I am passionate about music, rarely seen without headphones on.


I am interested in Web Development and Machine Learning.

Work Experience

Corporate Exposure

Morgan Stanley, Bengaluru

Predicted Execution times of Spark SQL queries to optimize job scheduling
Implemented a pipeline to collect feature metrics of a query using Spark REST API
Implemented an XGB model to predict the execution time of the query with an accuracy of 90.2%

May 2020 - July 2020

Research Centre Imarat, Hyderabad

Built a packet capturing application for Windows
It stores all the packets that are transmitted on the chosen connection.
A VC++ appication that uses WinPCap

May 2019 - June 2019

Publications

Papers published so far

SIMILARITY CALCULATION OF EXECUTABLE USING INTEL PIN INSTRUMENTATION FRAMEWORK

With the increase in the number of open-source and commercial code in the market, copyright and license infringement cases are on the rise. The lack of availability of source code makes identification a difficult task as existing techniques heavily rely on the source code. We propose two similarity measurement methods using the instruction log and the call-trace of each executable using Intel Pin tool.

Accepted in the ISSRE Conference, 2020

DIMENSIONALITY REDUCTION AND ENCRYPTION USING AUTOENCODERS AND CLUSTERING

Proposing an auto-encoder approach enhanced by K-Means Clustering preprocessing to improve compression rates of data with minimal loss. Using clustering resulted in a net gain of 1% over the standard encoder architecture over three MNIST datasets. The compression ratio achieved was 24.6:1.

Accepted in the FICTA Conference, 2020

PERFORMANCE EVALUATION OF DEEP LEARNING FRAMEWORKS ON COMPUTER VISION PROBLEMS

Comparative study of deep learning software frameworks such as Torch and TenserFlow (with Keras API)
Benchmarks the running performance of the frameworks with three types of neural networks

Accepted in the ICOEI Conference, 2019

COVID-19 Detection using X-Rays (ongoing)

• Implemented a novel CNN model that can classify an X-Ray as COVID -19 positive or negative with 99.2% accuracy and 96.00% sensitivity
• Implemented a novel CNN model that can classify an X-Ray into healthy, COVID-19 positive or Pneumonia positive with 86.13%accuracy and 88.00% sensitivity for COVID-19
• Currently working on extracting more information from the X-Rays such as severity and other relevant information



Fitness App

• Built a Django App from women to monitor their weight, sleep cycles, heart-rate, calorie intake and other health cycles.
• The app reduces number of clicks to start a workout, hence making it easier to start exercising.
• The app was built at a Microsoft hackathon, and received praise for the thought put behind the design of the web app.

Content Copyright using Smart Contracts

• Implemented an Solidity-based decentralized app for small-time digital content creators to copyright images, audio and text,thus preventing intellectual property theft of tweets, SoundCloud uploads, etc.
• Implementation streamlines the copyright defense process, thus eliminating legal fees and time costs





Extraction of Crop Cycle Parameters from Multi Temporal Data

• Worked on the Django app that takes in a multispectral mutli-temporal dataset to extract crop parameters
• Python modules such as rasterio and OpenCV were used to separate the spectral data while matplotlib was used to generategraphs
• The crop season (kharif, rabi, zaid) was identified along with other useful crop details

Projects

A few interesting projects over the years

National Institute of Technology, Karnataka

Bachelor of Technology in Information Technology. Will graduate in 2021. Currently in my final semester with a CGPA of 9.03



Sri Prakash Vidyaniketan, Visakhapatnam

CBSE Class X, passed out with a CGPA of 10/10

FIITJEE Junior College, Visakhapatnam

Board of Intermediate Education, Andhra Pradesh, passed out with a percentage of 96.4%



Pollocks School, Visakhapatnam

Classes I to V

Education

Where it all began

On Campus Activities

What I do when I'm not coding

Lead Organizer, HackVerse NITK - One of India's Biggest Student Run Hackathons


Responsibilites include leading a team of 70 members spread across six teams and providing the best environment for the 700 participants for the event


President, Institution of Engineers, NITK Chapter


Responsibilites include leading a team of 170 members spread across seven special interest groups and conducting recruitment drives, technical events, discussions and networking opportunities


Captain, NITK Girls Chess Team


Responsibilites include organizing tournaments and team-managing


John

P vs NP

This article talks about one of the possible (probably the hardest) ways of earning one million dollars. The Clay Mathematics Institute offers a prize of $1,000,000 for the first correct solution of any one of its seven Millennium Prize Problems. One of its seven problems, and probably the easiest to explain, is the P vs. NP problem.








Writings

Read some of my thoughts

Contact Me

Always ready to connect

Find me at




Address


Visakhapatnam, Andhra Pradesh - 530016

+91 7981819450