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General Information

Full Name Snehal Gharat
Date of Birth 17th April 1997
Languages C++, Python, Java
Skills Git, Docker, AWS, Azure, PyTorch, Tensorflow, OpenCV, MySQL, MongoDB, Terraform
OS Linux, Windows 7/8/10
ML Libraries PyTorch, Tensorflow, Keras, Numpy, OpenCV, Scikit-learn, Pandas

Education

  • 2019 - 2021
    Masters in Technology (M.Tech.)
    Malaviya National Institute of Technology, Jaipur
    • Specialization in Computer Science and Engineering (CGPA - 8.75)
    • Awarded Gold medal for outstanding academic performance.
    • Worked on Face Ageing using Style Transfer thesis under guidance of Dr. Neeta Nain, sponsored by MeitY, Gov. of India.
  • 2014 - 2018
    Bachelors in Technology (B.Tech.)
    Dr. Babasaheb Ambedkar Technological University, Lonere
    • Specialization in Computer Science and Engineering (CGPA - 8.9)
    • Class Representative for 4 years
    • Member of organizing committee for TEDxBATU, Cynosure Techfest.

Experience

  • 2022 - Current
    Software Developer Associate
    Halliburton, Bangalore
    • Implemented Landmark Secrets Management (LSM) to automate the rotation of security credentials in AWS and Azure cloud environments
    • Developed an error notification system using Python and NerdGraph GraphQL API of New Relic, deploying AWS Lambda and Azure Functions via Terraform.
    • Developed an automated customer onboarding system by integrating Okta API with Python and Bash scripting, significantly reducing the workload on the support team by 80%
    • Actively participated in regular Scrum meetings, collaborating with cross-functional teams to troubleshoot and resolve challenges in a dynamic software development environment.
  • 2021 - 2022
    Team Lead DS365.ai Support, Cloud Support Analyst II
    Halliburton, Bangalore
    • Led a dynamic support team for the "DS365.ai" platform, ensuring high-quality customer interactions and issue resolution
    • Developed and implemented new support strategies, including the creation of comprehensive knowledge base articles, reducing recurring inquiries by 30%.
    • Analysis of issues logged by end users, business team and working on incidents and severity issues
    • Designed and developed custom reports tailored to user issue analysis utilizing Salesforce Lightning Experience's reporting capabilities.
  • 2017
    Eklaavya Summer Internship
    Indian Institute of Technology, Bombay (IITB)
    • Developed Physics Interactive Animation Creator, an interactive platform to create physics animations with minimal coding.
    • Responsible to create physics apparatus using Three.js library.

Publications

  • 2023
    MuSTAT Face Ageing using Multi-Scale Target Age Style Transfer
    CVIP, IIT Jammu
    • This work proposes a multi-scale target age-based style face ageing model using an encoder-decoder architecture to generate high-fidelity face images under ageing
    • Proposed using skip connections with selective transfer units (STU) to select and modify the encoder feature and used style information gathered from a random image of the target age group to train the generator.

Projects

  • 2020-2021
    Face Ageing using Style Transfer
    • A project under Khoj Apno Ki | Tracing Missing Children, sponsored by Meity, Govt. of India.
    • Proposed a method to synthesize images with age progression and rejuvenation effects based on given target style.
    • Trained generative models using PyTorch and made comparative studies with baseline models.
  • 2020-2021
    Text Summarizer
    • Developed a web app to generate a short summary of textual input using Extractive algorithms using Python packages Flask, Numpy and NLTK
  • 2019-2020
    Content Based Image Retrieval
    • Created a web app using Python Flask framework to retieve images from database similar to image query (Query-by-image) based on color, texture and shape.
    • Used OpenCV and Tensorflow to implement the model and MongoDB database to store image information.

Honors and Awards

  • 2021
    • Gold Medal in M.Tech
  • 2023
    • Best Paper Award for MuSTAT Face Ageing using Multi-Scale Target Age Style Transfer at CVIP, IIT Jammu.

Academic Interests

  • Deep learning and Generative Adversarial Models (GAN)
    • My academic journey has involved an in-depth study of various Machine Learning (ML) and Deep Learning (DL) algorithms. Explored both classical ML algorithms and cutting-edge DL technique.
    • I have hands-on experience in Deep Learning, specifically in realm of GANs. Proficient in Python, PyTorch and Tensorflow. My recent project involved using GANs to address the complex task of Face Ageing. Through this project, I delved into the intricacies of GAN architectures and their applications in image transformation.
    • I am proud to have published a paper on my Face Ageing project, titled **MuSTAT Face Ageing using Multi-Scale Target Age Style Transfer**. This paper explores the challenges and innovations in using GANs for realistic face aging transformations.
    • Enthusiastic about contributing to the advancement of ML research. I'm also keen to explore interdisciplinary projects that combine computer vision and NLP for more comphrehensive AI solutions

Other Interests

  • Hobbies: Drawing, Reading novels, Chess, etc.