AAKAR
MUTHA
Bringing ideas to reality!

Hi! i am Aakar, a student at New York University, New York who loves learning and building new things everyday. I'm a passionate Full Stack developer building applications with Python, PHP, NodeJS or whatever you want it in. Also the server for this website is written in C++.


Education

NEW YORK UNIVERSITY, NEW YORK, UNITED STATES

2023 - Present

Masters of Science in Computer Science.


GPA : 3.85


VELLORE INSTITUTE OF TECHNOLOGY , VELLORE

2018 - 2022

Bachlors of Technology in Electronics and Communication Engineering with Specilization in Internet of Things and Sensors.

CGPA : 9.12



Skills

PROGRAMMING LANGUAGES

FRAMEWORKS

PACKAGES


Work Experience

Bajaj Finserv, SDE - I

July 2022 - July 2023

Bajaj Finserv, SDE Intern

January 2022 - June 2022

Projects

C++ HTTP Server

C++ | Networking | Socket Programming | POCO Library

Developed a lightweight C++ HTTP server from scratch using socket programming. Implemented functionalities to handle GET requests, parse HTTP headers, and send responses based on requested resources. The server that this website is currently using.

Disk I/O Performance Analysis And Optimization

C | C++ | Multithreading | System Calls

Spearheaded A Multifaceted Project Aimed At Optimizing Disk Input/Output (I/O) Performance, Achieving An Outstanding Maximum Read Speed Of Over 32,000 MiB/S For A 2GB File, While Leveraging C/C++ Programming To Meticulously Assess Cache Effects, System Call Costs, And The Impact Of Diverse Block Sizes, Resulting In Substantial Throughput Improvements And Efficiency Gains.

Serverless Recommendation Chatbot Using AWS

API Gateway | LexV2 | Lambda | S3 | SQS | SES | EventBridge | DynamoDB | Opensearch | S3

Developed A Chatbot Using Lex And Lambda To Provide Restaurant Email Recommendations To Users Based On Their Preferences Utilizing AWS Services Like DynamoDB To Store User Preferences And Amazon OpenSearch For Restaurant Data Indexing, Amazon SES For Seamless Email Communication And Amazon S3 For Reliable Static Website Delivery.

Person Re-Identification And Tracking

Machine Learning | Python | ResNet-50 | YOLO-V5 | COCO | MARKET1501

Implemented The ResNet-50 Algorithm Pre-Trained On The MARKET501 Dataset To Detect The Same Person In The Different Parts Of A Video Using YOLO-V5 To First Make A Custom Dataset In Real Time With 75% Precision


Leadership Experience

Events Head, IoT Community Club

January 2021 - December 2021