Akshat Garg

Hi! I'm

About

I am a machine learning enhusiast, I have worked on several real life Machine Learning problems like movie recommendation systems, forecasting stock prices/returns etc. In addition, I have worked on web-development,video streaming applications and socket.io projects. Always excited to learn new things

  • Birthday: 6 December 2000
  • Phone: +91 9412101950
  • City: Meerut, India
  • Age: 20
  • Email: akshat061200@gmail.com
  • Freelance: Available

Always willing to work on new technologies, participate in hackathons and contribute to open source projects.

Skills

HTML 85%
C 95%
Java 95%
Node.js 80%
Mysql 85%
OpenCV 90%
CSS 75%
C++ 80%
JavaScript 85%
React.js70%
Socket.io95%
Python 95%
TensorFlow90%
Pytorch 80%

Other Tools

         

Resume

Education

Integrated Mtech, Computer Science and Engineering

Aug 2019 - Jul 2024

International Institute of Information Technology,Bangalore

CGPA:3.45/4.00

Intermediate,CBSE

K.L International School,Meerut

97%

High School,CBSE

K.L International School,Meerut

CGPA:10/10

Work Experience

Machine Learning Intern

May 2022 - Present

E-Health and Research Center, IIITB

  • Build a Differentially Private Federated learning framework for Computational Pathology on Gigapixel WSI.
  • Evaluate performance of the framework on the popular opensource TGCA dataset and comparing the performance between federated learning and standalone methods.
  • Creating a bespoke dataset in collaboration with NIMHANs and evaluate the frame work with a combination of TCGA and the bespoke dataset.

Machine Learning Intern

June 2022 - Present

Logituit

  • Studing and analzing the performance of various recommendation systems in various conditions.
  • Improving the performance of current recommendation system and building a new recommender with the aggregation of current systems like matrix factorization, cosine similarity , graph based recommendation , k-clique method of recommendation .

Research Intern

May 2021 - July 2021

IIIT Bangalore

  • Studied and summarised various prefetching techniques like Next-line Prefetching, Stream Buffer Prefetching , Best-Offset Prefetching etc
  • Implemented a hybrid Next-line stream buffer prefetcher in java
  • Documented trends of cache hit rates on varying parameters like associativity , compressibility etc using champsim & pin tool
  • Finally, Implemented research paper selected in minro in java.

Summer Intern

June 2021 - August 2021

Turnera Tech,Pune(Online)

  • Worked on developing video streaming app technology like discord.
  • Built a proctoring based application with the team.
  • Leant about video compression algorithms

Projects

Telephone Directory

Realtime Chat Application

Record Webcam Video

Image Editor

Fastest Buzzer First

Research Paper Implementation

Multi Organ Cancer Detection

Object Detection in Traffic

Forecasting Stock Returns

Contact

Location:

Kithore, Meerut , India

Call:

+91 9412101950

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