Summary
Education
Skills
PROJECTS
Accomplishments
DECLARATION
Timeline
Generic

Sriram Reddy Alamgari

Hyderabad

Summary

As an aspiring full-stack developer, I have skills in both front-end (HTML, CSS) and back-end technologies (Node.js, Django). My experience includes building scalable solutions and working on various projects, with a strong focus on problem-solving and collaboration. I'm committed to continuous learning and improving my skills.

Education

B.Tech - Computer Science Engineering (DataScience)

Sreyas Institute Of Engineering And Technology
01.2024

Diploma - Civil Engineering

Holy Mary Institute Of Technology and Science
01.2021

SSC -

Joshi's Vidyaniketan High School
01.2018

Skills

  • Python (Basic)
  • HTML
  • SQL
  • Figma
  • Java (Basic)
  • Excel

PROJECTS

Project 1: Android Malware Detection using Deep Learning

Technologies: VGG16, ResNet, Artificial Neural Networks (ANN), Python, Deep Learning, APK Analysis, Security

  • Developed a comprehensive deep learning-based system for detecting Android malware, leveraging state-of-the-art architectures like VGG16, ResNet, and Artificial Neural Networks (ANN).
  • Focused on improving detection accuracy, achieving over 90% classification accuracy, outperforming traditional methods.
  • Extracted high-level features (e.g., app permissions) from APK files to analyze and model Android application behaviors.
  • Implemented a robust solution that demonstrated resistance to various evasion techniques commonly used by cybercriminals.
  • Contributed to the field of mobile security by proposing an effective method for identifying malicious applications, ensuring users' privacy and security.

Project 2: Food Ingredient Recognition using Deep Learning Role: Machine Learning Engineer Technologies: CNN, Python, Deep Learning, Dataset Creation

  • Developed a deep learning system for ingredient recognition in food images, addressing gaps in current food categorization approaches.
  • Contributed to the Vireo Food-251 dataset with 169,673 images of 251 Chinese dishes and 406 ingredients.
  • Analyzed challenges in ingredient recognition, such as image-level vs. region-level recognition and multi-task learning.
  • Improved recognition accuracy for food ingredients, with potential applications in health and nutrition.

Accomplishments

  • Technical Seminar Report: "Smart Health Prediction using Data Mining" | 2023
  • Workshop: Drone Technologies for Urban Mobility, IIT Hyderabad | 2023
  • Certificate of Participation: "RoboMania," Robotics and Automation Society | 2023

DECLARATION


I hereby declare that the information provided above is true to the best of my knowledge and belief.

Timeline

B.Tech - Computer Science Engineering (DataScience)

Sreyas Institute Of Engineering And Technology

Diploma - Civil Engineering

Holy Mary Institute Of Technology and Science

SSC -

Joshi's Vidyaniketan High School
Sriram Reddy Alamgari