Rahul Ramesh

Co-Founder

Seattle, Washington, United States3 yrs 8 mos experience
Highly Stable

Key Highlights

  • Developed a blockchain-based Pharmaceutical Management System.
  • Created a traffic prediction module using deep learning.
  • Led technical events and projects during academic tenure.
Stackforce AI infers this person is a Fullstack Developer with expertise in Deep Learning and Cloud Technologies.

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Skills

Core Skills

JavaDeep Learning

Other Skills

JavaServer Pages (JSP)LSTMPythonKerasTensorFlowAmazon adsAPI DevelopmentWeb Services APIAmazon Web Services (AWS)AWS LambdaAWS Command Line Interface (CLI)AWS Identity and Access Management (AWS IAM)Amazon EC2Amazon S3AWS CodePipeline

About

Learning programming languages, writing clean and efficient code, and the framework of software development, sparked an urge in me to explore the expanse of this field. I reached out to grab every bit of knowledge that I could, outside the dominion of the syllabus through books, research papers, and internet. This research not only enhanced my horizon but was also reflected in my excellent academic grades.I have held many vital positions in my college .Being at the forefront of the technical team of my department, I took it on myself to organize and coordinate all the events related to computer science. l learned how Virtualization can increase IT agility, flexibility and scalability while creating significant cost savings.As a pre-final year mini-project, I developed an online clothing store system using HTML, PHP,CSS and MySql.I developed a Computer Graphics based Sorting Visualizer. This OpenGL computer graphic project involves simulation of various sorting algorithms which helped in understanding the algorithms better. As a final year mini-project we developed a online restaurant table reservation system using AngularJS,PHP,HTML,CSS and MySql. All through my academic program, I wanted to work on cryptography. And amidst the buzz of cryptocurrency, ledgers, and blockchains, I decided to explore this domain as part of my final year project. I am developing a heuristic, block chain-based Pharmaceutical Management System. The project is a full-stack model aimed to overcome the issues in supply chain management of Pharmaceuticals. The project will revolutionize the existing supply chain management and pharmaceutical issues.I balanced my scholastic efforts by participating and arranging various convivial events.  I was on the managing committee of two mega techno-cultural fests, namely Anveshan and Verve, organized in 2018 and 2019.

Experience

3 yrs 8 mos
Total Experience
3 yrs 8 mos
Average Tenure
3 yrs 8 mos
Current Experience

Amazon

2 roles

SDE2

Promoted

Apr 2024Present · 2 yrs 2 mos · Seattle, Washington, United States · Hybrid

SDE

Oct 2022Apr 2024 · 1 yr 6 mos · Seattle, Washington, United States · Hybrid

JavaJavaServer Pages (JSP)

Mordan technologies pvt. ltd.

Founder

Aug 2020Sep 2021 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Bharat electronics

Intern

Jan 2020Feb 2020 · 1 mo · India

  • We had the opportunity to work as an intern at BEL(Bharat Electronics Private Limited) a PSU of Indian government. We were assigned to an ongoing smart city project handled by the Software Technology Department. Traffic information plays a significant role in structuring a brilliant city .Traffic predictions helps us in route planning, navigation, and other mobility services. Traffic models are usually used to evaluate different past and real-time traffic data to forecast potential traffic circumstances.Our task was to develop a module which predicts the traffic count and its average speed in a given path at a specific time considering the previous data as well as other factors. So we implemented a deep learning model using LSTM(Long Short Term Memory).LSTM is a special kind of RNN(Recurrent Neural Network) capable of processing a sequence of data. LSTM has feed back connections unlike the standard feed forward networks. Thus we were able to predict the traffic count considering the past data . We used python libraries such as keras, tensorflow and finally graphviz was used to plot the final result . When our model was tested on the real time data provided by BEL, an approximate accuracy of 68% was optained . This internship not only gave us technical knowledge, it also gave us an insight on how government projects are executed.
Deep LearningLSTMPython

Cdot

Intern

Jul 2019Aug 2019 · 1 mo · India

  • Development of application modules based on new requirements individually and/or in team. My assignments required understanding the Network system work structure and programming in Java and selenium.

Pinaka aerospace solutions private limited

Intern

Aug 2017Oct 2017 · 2 mos · India

  • The opportunity to incarnate my theoretical skills to practice came with my internship stints at coveted Pinaka Aerospace Limited. At Pinaka Aerospace, I was exposed to LabView which is an interactive program development and execution system using which we designed and tested various modules of the company.

Education

University at Buffalo

Master's in Computer Science

Aug 2021Aug 2022

J S S Academy of Technical Education, BANGALORE

Bachelor of Engineering — Computer Science

Jan 2016Jan 2020

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