Surya Teja Pallevada

Machine Learning Engineer

India7 mos experience

Key Highlights

Developed a deep learning model achieving over 90% accuracy.
Created a secure expense management app with offline capabilities.
Implemented an interactive image processing system for educational use.

Stackforce AI infers this person is a Software Engineer with expertise in Healthcare and Fintech applications.

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Skills

Core Skills

Deep LearningApplied Machine LearningSecure AuthenticationFull-stack DevelopmentSpeech RecognitionDigital Signal ProcessingImage ProcessingComputer Science

Other Skills

FlaskReal-time DataFlutterSQLiteJavaScriptHTMLCSSCross-correlationVisualizationedge detectionHistogram generationFilteringPyTorchData StructuresWeb Operations

About

Aspiring software engineer with a BTech degree in CSE[Data Science]. Proficient in [C language, Python, Mysql, HTML, Java(Basic)]. Passionate about learning new technologies and building robust software applications. Eager to join a dynamic team and contribute to innovative projects.

Experience

7 mos

Total Experience

7 mos

Average Tenure

Current Experience

G. narayanamma institute of technology and science

Machine Learning Engineer

Feb 2025 – Jul 2025 · 5 mos · Hyderabad · On-site

Worked on a deep learning project titled “Retinal Disease Detection for Elderly Eye Care,” focusing on Glaucoma, ARMD, and Diabetic Retinopathy classification. Developed models using Inception V1, VGG16, MobileNetV2, AlexNet, and ConvNeXtSmall with preprocessing and augmentation. Achieved 89.13% (Glaucoma 4-Class), 89.98% (Glaucoma 2-Class), 90% (ARMD 3-Class), and 94.49% (DR 5-Class) using Inception V1. Deployed the model through Flask and tested real-time inference on Raspberry Pi 4B.

Applied Machine LearningDeep Learning

Deloy github

3 roles

Expense tracker

Promoted

Sep 2024 – May 2025 · 8 mos

Developed a secure, offline-first expense management app using Flutter and SQLite, ensuring full data privacy and
functionality without cloud dependency.
Implemented multi-layered security with PIN-based authentication (SHA-256 hashing), custom security questions,
and brute-force lockout protection.
Designed an interactive dashboard featuring zone-based spending feedback and visual analytics using Syncfusion
Charts and PDF report generation for financial insights.
Integrated AES-256–encrypted backup and restore for secure data recovery and built a responsive companion
website (HTML, CSS, JavaScript, Vercel) offering user guides and updates.

Secure AuthenticationReal-time DataFull-Stack Development

DIGITS AUTOMATED SPEECH RECOGNITION

Mar 2024 – May 2024 · 2 mos

Developed a lightweight Digits Automated Speech Recognition (ASR) system using a template-based cross
correlation approach.
Implemented a threshold-based recognition mechanism, achieving accurate spoken digit recognition with enhanced
computational efficiency.
Enhanced user experience with intuitive visualization through bar plots, improving interpretability and system
performance assessment.

Digital Signal ProcessingSpeech Recognition

Visual alchemy

Dec 2023 – Feb 2024 · 2 mos

Developed an interactive image processing system implementing techniques such as histogram generation, filtering,
edge detection, color space conversion, and image segmentation.
Demonstrated its functionality through a challan image processing example, showcasing information extraction and real
time visualization of image transformations.
Designed a menu-driven interface to enhance usability and support both educational and practical understanding of
image processing concepts.

edge detectionImage ProcessingComputer Science