Rakshit Raj

Mumbai, IN ·	rraj.rakshit@gmail.com ·	+91 900 6400 602
linkedin.com/rakshitraj ·	github.com/rakshitraj ·	medium.com/@rakshitr
Experience
Deloitte (US India)		Mumbai, IN
Analyst, Analytics and Cognitive		July 2021 - Present

•SQL Developer - Data Quality and Data Readiness Team, I validate data quality and develop frameworks to streamline the data quality validation process

Education

National Institute of Technology Nagaland		Dimapur, IN
B. Tech Electrical & Electronics Engineering CGPA: 8,4		Aug 2017 - Jun 2021
Skills
Programming Languages:	C++, C, Python, Java, BASH, SQL, R, HTML
Software and Libraries:		A
	CMake, GDB, pyTorch, Keras, TensorFlow, OpenCV, ROS, Gazebo, LTEX
Technology:	AWS, GDB, Git, Networking(TCP/IP), Jupyter, Docker
IDE :	vim, VS Code, pyCharm, Anaconda Suite, mySQL, Oracle SQL Developer , MatLab
Hardware:	NVIDIA Jetson, Raspberry Pi, NI myRIO (FPGA), Arduino (ASIC) (atmega)
Operating Systems:	Ubuntu, Linux (Debian and Fedora flavors), Windows
Expertise:	Machine Learning & AI, C++, Operations Research (Control & Optimization)
Interests:	Reinforcement Learning, NLP, Competitive Programming

Publications

Parameter Estimation of a Permanent Magnet Synchronous Motor using Whale Optimization Algorithm, IEEE 2018

Whale Optimization Algorithm, Computational modeling, Optimization, Parameter estimation DOI: 10.1109/RAETCS.2018.8443839

Relevant Project work

Landmark Classsification and Tagging, 2021

CNN, Transfer Learning, Hyperparameter tuning, pyTorch, python

-Constructing CNNs from scratch to identify landmarks in sample image.

-Created end-to-end ML design process to preprocess, design and train CNN both from scratch and using Transfer learning.

Deploying a Sentiment Analysis Model, 2021

Amazon Sagemaker, AWS, RNN, Sagemaker API, pyTorch

-Construct RNN for determining the sentiment of a movie review on the IMDB data set and deploy with Amazon’s SageMaker service.

-Constructed a simple web app which will interact with the deployed model

Fire Hazard Detection and Reporting using Computer Vision, 2021

Computer Vision, ResNet-50, Socket Programming, Twilio messaging API, Networking

-Bulit a low cost, minimalist, monocular system using Raspberry Pi to monitor and report fire-hazard of fatality to transformers using Computer Vision. Trained model using Transfer learning.

Certifications

Deep Learning Nanodegree	July '21	| Udacity
Deep Reinforcement Learning Nanodegree	July '21	| Udacity
Algorithmic Toolbox	Sep '20 | Coursera
SQL Essential Training	July '21 | LinkedIn Learning
C++ Nanodegree	Pursuing. Graduating Jan '22	| Udacity

Resume - Rakshit Raj, 14 Dec 2021