Flower Species Classification Using Machine Learning
Summary
Developed a machine learning project aimed at assisting users in accurately identifying various flower species by leveraging advanced Python libraries for image classification.
THALLAPALLI JASHWANTH
Software Engineer | Machine Learning Enthusiast
Bengaluru, IN.About
Highly motivated and results-driven Software Engineering Intern with hands-on experience in developing robust REST APIs, deploying full-stack applications, and implementing real-time data solutions. Eager to leverage strong Python, Flask, and Machine Learning expertise, including achieving 86% accuracy in a critical Brain Tumor Detection project, to contribute to innovative software development and data-driven initiatives in a dynamic tech environment.
Work
Relevance Lab
|Software Engineering Intern
Bengaluru, Karnataka, India
→
Summary
Developed and deployed robust web applications, integrated real-time data systems, and designed interactive data dashboards within an Agile development framework.
Highlights
Developed and secured REST APIs using Flask and SQLAlchemy, integrating authentication keys and robust database support to enhance system functionality and data integrity.
Engineered and deployed an end-to-end blog application on Render.com, leveraging Flask, Gunicorn, and secure environment variable configurations for production readiness and scalability.
Implemented a real-time stock monitoring system by integrating Alpha Vantage API, NewsAPI, and Twilio SMS, delivering instant alerts for critical market insights and timely decision-making.
Designed and built interactive data dashboards utilizing Pandas, NumPy, Matplotlib, and Plotly, enabling comprehensive dataset analysis and informed strategic decision-making.
Created user-friendly GUI-based Python applications with Tkinter, including an image watermarking tool and text-based utilities, improving operational efficiency and user experience.
Contributed to low-code application development on the Mendix platform, creating robust applications with Microflows, Nanoflows, Entities, and role-based security features.
Collaborated effectively within an Agile/SCRUM environment, actively participating in sprint tasks, writing weekly reports, and contributing to efficient project delivery and team success.
Education
Gitam School Of Technology
Bengaluru, Karnataka, India
→
Bachelor of Technology
Computer Science Engineering
Grade: CGPA: 7.86
Narayana Junior college
Renigunta, Andhra Pradesh, India
→
Intermediate
MPC Intermediate
Grade: 90.4%
Sree valmeeki high school
Kadiri, Andhra Pradesh, India
→
High School Diploma
SSC
Grade: GPA: 10
Certificates
Google AIML virtual internship
Issued By
AICTE
Mendix Rapid Developer
Issued By
Mendix-Academy
Skills
Programming Languages
Python.
Web Development
Flask, SQLAlchemy, Gunicorn, REST APIs, Full-Stack Development.
Data Analysis & Visualization
Pandas, NumPy, Matplotlib, Plotly, Data Analysis, Interactive Dashboards.
Machine Learning
SVM, Linear Regression, Machine Learning Algorithms, Deep Learning.
Databases
SQL.
Cloud & Deployment
Render.com, Linux.
Tools & Methodologies
Git, PyCharm, Google Colab, Agile, SCRUM, Mendix Studio Pro, Tkinter.
API Integration
Alpha Vantage API, NewsAPI, Twilio SMS.
Projects
Brain Tumor Detection Using Machine Learning
Summary
Engineered a critical machine learning project focused on the early detection and staging of brain tumors using MRI image analysis to support medical diagnostics.