SREERAG R NANDAN

Software Engineer

Converj is a startup which operates in the B2B payment space, enabling businesses to analyse business opportunities, invoice discounting, and manage their finance using innovative payment solutions.              
Contributing as a Full Stack Software Engineer to the Best of my ability.              
Developed Software using technologies such as AWS, Docker, Kubernetes, Golang, Next.js, etc...

Developer Student Clubs Lead

I helped students to achieve a greater understanding of various technologies such as Machine Learning, Cloud computing, application development and overcome the roadblocks in their projects, along with improving my skills in these areas.

Explore ML Facilitator

As a Machine Learning facilitator, I helped over 1000 students to achieve a greater understanding of foundational Machine Learning through workshops(as a resource person), lectures and one to one interactions. I was also a speaker at TensorFlow World Extended Kerala 2019. One of my project was selected as one among the top twenty projects from the country to Google AI Explore ML BootCamp.

Software Engineering Intern

I worked as an intern at Jyothi Consultancy Services (JCS - IT Services wing of my college) as a Software Engineering Intern in my second year undergraduate period.
Through this, I got an opportunity to work as a website/application developer and worked on live projects both as an individual and in a team.
With this real-world work experience, I was able to significantly improve the essential skills like time management and self-study.

Projects

• Lung disease detection using Federated Learning:

  
  • Using privacy-preserving collaborative Machine Learning to detect lung disease of a person
  • In this, a model is trained on local clients(hospitals) using their patients' data, and the inference learned is transferred to the server, keeping data secured at client devices
  • Main Tools Used: Python, TensorFlow Federated, Keras, Cloud Computing

• Wetland – Dryland Statistics Using Satellite Image:

  
  • Using Machine Learning and Satellite Image Processing, the system identifies wetlands from Satellite Images and calculates the area of wetlands, changes happened in the last 10 years
  • Using Fully Convolutional Network(FCN) Architecture, Integrated with a web application for user friendliness
  • Main Tools Used: TensorFlow, Keras, Scikit learn, NumPy, matplotlib.

• Track Smoker :

  
  • Uses Machine Learning to identify whether a person is smoking or not. If found smoking, then report to law enforcement authorities with the smoker’s picture and location
  • Using Convolutional Neural Network(CNN) Architecture, Integrated with a web application for user friendliness
  • Main Tools Used: TensorFlow, Keras, Scikit learn, NumPy

• Intelligent Traffic Control System:

  
  • Users use Computer Vision to identify the number of vehicles on a road and adjust the time of changing of traffic light accordingly
  • Using the MOG algorithm, the CC camera in the traffic post
  • Main Tools Used: OpenCV, SK-Video

• Tracker Using Facial Recognition:

  
  • Using a Facial Recognition system to track the location of a person via the web portal and email, if a connected network of cameras is available
  • Using HOG algorithm, Integrated with a web portal for user friendliness
  • Main Tools Used: FacialRecognition(python package), OpenCV, NumPy

• Communication Using Eye-Blinks for a Fully Paralysed Person:

  
  • System designed for paralysed/differently-abled persons, helps them to communicate using an eye-blink pattern
  • Make calls/messages/emails, speak and facilitate other actions for a paralysed person by identifying patterns from their eyelid movement
  • Main Tools Used: OpenCV, Numpy, MySQL

• College Library Attendance System:

  
  • Web application integrated with a barcode scanner which collects information about students from the barcode of ID card and mark his/her attendance and provide statistics of library attendance over a specified period of time
  • Main Tools Used: PHP, JavaScript, HTML, MySQL

• College Handbook Web Application:

  
  • Developed a digital Handbook for my college, a web application which contains contact details, timetable, syllabus, news on the internal matters of the college and other details of the college.
  • Main Tools Used: Python-Django, JavaScript, HTML, MySQL