A Formal Introduction

I'm a Tech enthusiast who likes to engineer things & solve problems, it feels good if they are real world. Striving to get better at engineering, exploring tech stacks, and aiming to be a skillful software developer. A 4th yr undergraduate student, with goals up my eyes I'm currently immersed in the coding world of LeetCode. Fascinated with Machine Learning and its infinte potential, have researched at various labs & companies. Inquisitive about the backend, exploring Django and making full stack projects is something I enjoy lately.

Skills

Experience

Education

  • Problem Solver (Data Structures & Algorithms)
    CPP & Python Programmer
  • Machine Learning Developer (Pytorch, Keras, ML, DL)
    Models & Pipeline Development, Dataset Curation
    & Preprocessing, Data Analysis, Finetuning
  • Aspiring Backend Developer (Django, HTML, CSS, JS)
    Full stack Projects with frontend through HTML, CSS & JS, Backend functionality through Django
  • May'24 - Jul'24
    University Of Oxford (Department Of Engineering Science)
    AI/ML project researcher
  • May'23 - Sep'23
    IIIT - Delhi (Cross Caps Laboratory)
    Research Intern
  • Mar'23 - May'23
    NSUT (Department Of CSE)
    Undergrad. Project Assistant
  • Sep'22 - Feb'23
    Neurally (Startup)
    Research Intern
  • Netaji Subhas University Of Technology
    CGPA : 8.35
    (B.Tech in Computer Science, specialisation in Data Science)
    Jan'22 - May'25
  • Ryan International School
    XII th : 95 %
    X th : 97.5 %
    2009 - 2021

Projects & Experience


My tech journey so far
University Of Oxford, Project Researcher (May'24)
Finetuning a large model like GPT on a small dataset like reddit text has overfitting problem. Task specific parameter optimisation (NFL) can be performed. LoRA technique with optimial hyperparameters for universal solution.
Cross Caps Lab IIITD, ML developer (May'23)
Took charge from data preperation, model curation to pipeline deployment. Researched on Audio and Diffusion Models for cross lingual speech to speech translation without text involvement. Implemented various research papers.
CSE Dept. NSUT, Research Asst (Mar-May'23), Present
Worked on improving Motion Blurred Face Hallucination with proximate patches thresholding by appling atmospheric dehazing and acheived 3% accuracy enhancement.
Neurally,               Student Intern (Sep'22)
Worked collaboratively on multiple projects like Face Swapper, various ML model paradigms like auto-encoders, GANs, UNet. Time series forecasting, visualisation & EDA of datasets, Transfer learning were used.
Programmer (Jan'22)
Started Learning Python & C. Gained hands-on Object Oriented Programming Experience with Rocket Tracker, Jarvis assistant, Web scraping. Studied ML & DL specialisation courses.
Projects Made on the way

ShopIt Website

Just another E-Commerce Platform.

Face Swapper

Swapping the faces tool

Player Analyser

Finding out Team Breaker

Explore More!!

Contact Me

ritul.agarwal.ug21@nsut.ac.in

+91 9560300905

Download Resume

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