Skip to content
View AbhilashaLodha's full-sized avatar
🎯
Focusing
🎯
Focusing
1 follower · 0 following

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

Block or report AbhilashaLodha

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
AbhilashaLodha/README.md

Hi 👋, I'm Abhilasha

An AI-ML professional pursuing MS in Computer Science from the University of Massachusetts Amherst.

abhilashalodha

  • 🔭 I’m currently a MS student at UMass Amherst

  • 👯 I’m looking to collaborate on AI-ML Projects

  • 🤝 I’m available for Full-time roles in AI-ML

  • 💬 Ask me about AI, ML, CV, NLP, Deep Learning

  • 📫 Reach me at [email protected]

  • 👨‍💻 My Portfolio

Research work:

I am proud to have worked on 4 papers, two of which got accepted at EMNLP 2023 conference. The rest two of my papers were accepted at the CCVPR 2021 conference and got published by Springer.

  1. "On Surgical Fine-Tuning for Language Encoders" - Accepted @ EMNLP'23

     • Devised selective fine-tuning using Fisher matrix to optimize performance of Large Language Models (LLMs)

  2. "Robust Code Summarization" - Accepted @ EMNLP'23 LINK

     • Assessed Large Language Models’ (LLMs) code summarization capability with semantic preserving code transformations

  3. "Floor Space Optimization and Recommendation System in 2D Space" - Published @ CCVPR'21 LINK

     • Developed a solution for optimizing empty floor space in balcony garden design recommendations with IoU score of 96.4%

  4. "Borderless Table Detection and Extraction in Scanned Documents" - Published @ CCVPR'21 LINK

     • Designed a pipeline for bordered & borderless table detection & data extraction with an accuracy of 98.4%

Languages and Tools:

Coding Languages:

python cplusplus javascript

AI - ML:

opencv pandas pytorch scikit_learn tensorflow

Databases:

mongodb mysql

Tools:

aws azure docker firebase git

Others:

figma illustrator photoshop xd

abhilashalodha

 abhilashalodha

abhilashalodha

Pinned Loading

  1. Cab_Surge_Price_Type_Prediction Cab_Surge_Price_Type_Prediction Public

    With the upcoming cab aggregators and demand for mobility solutions, the past decade has seen immense growth in data collected from commercial vehicles with major contributors such as Uber and Ola …

    Jupyter Notebook 2

  2. Face_Recognition_Project Face_Recognition_Project Public

    The project enrols and identifies employees using face recognition techniques. The main libraries used are dlib, face_recognition, opencv.

    Python

  3. Lane_Detection Lane_Detection Public

    The project helps in detecting lanes on open source dataset consisting of street images using deep learning model built with Keras on top of TensorFlow framework.

    Jupyter Notebook 2 1

  4. OpenCV_Functions OpenCV_Functions Public

    The project uses different OpenCV functions to perform image processing.

    Jupyter Notebook

  5. Speech2Text Speech2Text Public

    The Speech2Text project converts an audio file into text using deep learning. The model is built from scratch using tensorflow framework wrapped with keras.

    Jupyter Notebook