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
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
 
Contact
Location:
Kithore, Meerut , India
Email:
akshat061200@gmail.com
                
akshat.garg@iiitb.ac.in
Call:
+91 9412101950