Engineering Assistant

SAHIL RASANE

adk18q@r.postjobfree.com Charlotte, NC +1-980-***-**** www.linkedin.com/in/sahilrasane Education-

• Master of Science, Computer Science, Concentration (3.9/4) (May 2021) University of North Carolina at Charlotte, NC

• Bachelor of Engineering, Computer Science

MIT College of Engineering, Pune, India (May 2019) Technical Skills-

• Languages: C, C++, Python, Java, html, R, PL/SQL, PHP

• Development Tools: Android Studio, MySQL, Visual Studio, NetBeans, Eclipse, Nvidia Nsight, Visual Studio Code, Pycharm, Jupyter Notebook, Spyder, Google Colab, Firebase, XAMPP, Oracle Database, Tableau, Amazon Web Services, Tensorflow, OpenCV

Projects-

• Dynamic Traffic Management System:

Developed an algorithm that leveraged image processing and filtering techniques like grey scale conversion and background subtraction techniques implemented on a raspberry pi to reduce wait times up to 70% at signal junctions

• N-queens:

Solved the n-queens problem using hill climbing search with sideways move and random restart

• Map coloring (Constraint Satisfaction Problem):

Implementation of Depth first search, forward checking, with heuristics and singleton domains to calculate the minimum number of colors required to color the map of USA and Australia

• Location based Object Detection for the Visually Impaired: Collected training data in the form of images from the university campus and extracted relevant features from the images. Constructed different models using Scale Invariant Feature Transform which will result in higher accuracy for object detection based on the location

• Pizza Delivery App:

Created an android application to create a custom pizza, take online orders and store the information associated to the user in firebase

• Online Shopping Cart:

Implemented a java based user interface for ordering groceries, where user data is stored in MySQL along with an online card payment portal

• Natural Language Generation using GPT-2:

Trained GPT-2 on the 20-newsgroup dataset and generated human like, coherent sentences.

• Gesture Controlled Drone:

Deployed a model using fastai and keras on Nvidia Jetson. Using the feed from the drone the model recognizes hand gestures and it is given to the drone as input to help create an autonomous drone.

• OpenAI Gym Atari games:

Created an agent in tensorflow which uses reinforcement learning to play Atari games without human intervention and achieves a good score which can be scaled up by increasing training time. Relevant experience-

• Research and Teaching Assistant (Machine Learning) at UNCC International Publications-

• Title: DYNAMIC TRAFFIC MANAGEMENT SYSTEM in the International Research Journal of Engineering and Technology (IRJET)

Workshop attended-

• Campus Connect by Infosys:

Completed the modular course focusing on Python and database integration and was awarded a certificate of completion after the assessment of the mini-project (2018) Masters Coursework: Algorithms and Data Structures, Cloud Computing for Data Analysis, Machine Learning, Intelligent Systems, Parallel Computing, Knowledge Discovery in Databases, Software System Design and Implementation, Visual Analytics, Natural Language Processing, Computer Vision

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