Pennada Manoj HarshaVardhan Teja

Software Engineer | ML Enthusiast

Manoj Pennada

About Me

Hello there amigos👋, I'm Manoj...

I am a Software Engineer and Machine Learning enthusiast currently pursuing a B.Tech degree in Computer Science at SRM University AP (CGPA: 9.1/10.0). My expertise spans automation engineering, software development, and machine learning, with practical experience in cross-platform testing and automation.

I've worked as an Automation Engineer Intern at Western Digital (SanDisk) in Bangalore, where I developed cross-platform testing solutions and improved testing efficiency. I'm also passionate about ML/AI, having been selected for Amazon's Machine Learning Summer School twice, ranking in the top 4.9% among 61,000+ applicants.

- 📷 Photography freak (Photography Vertical Lead for INFINITUS 2024)

- 🌱 Ecofriendly

- 💻 Problem solver and competitive programmer

Experience

Sandisk (Bengaluru)

Feb 2025 - Present

SDET Intern

  • Worked with advanced flash storage technologies and internal protocols (SCSI, SD), optimizing power delivery systems.
  • Built a Django-based unified web portal that improved test efficiency by 400%, reducing test execution time by up to 75%.
  • Designed a Django server capable of triggering automated tests across multiple machines and platforms, reducing manual effort by 70%.

Western Digital (Bengaluru)

Sep 2024 - Feb 2025

SDET Intern

  • Automated 100% of test cases across Linux, macOS, and Windows platforms using core Python scripts, osascripts, and bash commands.
  • Reduced manual testing efforts by 80% and improved execution efficiency through optimized algorithms and custom testing frameworks.
  • Resolved 50+ unresolved Jira tickets by implementing innovative solutions and optimizing workflows.

Amazon

Oct 2023 & Aug 2024

Machine Learning Summer School Apprentice

  • Selected twice for Amazon ML Summer School, ranking in the top 4.9% among 61,000+ applicants.
  • Specialized in supervised learning, deep neural networks, and reinforcement learning through 200+ hours of intensive training.
  • Collaborated with Amazon ML scientists in live Q&A sessions, applying theoretical knowledge to real-world ML applications.

Projects

Stock Price Prediction with Live Data

Flask Random Forest XGBoost ARIMA

Developed a predictive analytics tool using Flask, achieving 85% prediction accuracy. Launched a scalable web application enabling real-time stock price predictions and data visualization.

View Deployment

Live Emotion Detection App

Flutter TensorFlow Lite Mobile Development

Designed a real-time emotion detection application with Flutter and TFLite, achieving 90% accuracy in emotion recognition. Released on both Android and iOS platforms, reaching 1,000+ active users.

Leaf Disease Detection

CNN Fuzzy Logic Genetic Algorithms LLMs

Implemented an intelligent system to detect crop leaf diseases, achieving 92% accuracy in disease classification. Utilized Large Language Models (LLMs) to generate preventive measures and treatment recommendations.

Marine Plastic Waste Detection

Digital Image Processing Satellite Imagery

Constructed an image processing system to detect marine plastic waste using Sentinel-2 satellite images, achieving 88% detection accuracy. Deployed the system for large-scale environmental monitoring.

Publications & Open Source

Extractive Text Summarization on Medical Insights using Fine-tuned Transformers

Published in Taylor & Francis, utilizing BERT and BART for biomedical text summarization. Achieved an average ROUGE score of 0.7 on 800+ abstracts, enhancing research efficiency in medical literature analysis.

Read Publication

Multipurpose Resource Automation (MPRA)

Designed and deployed the 'mpra' Python package, facilitating automated file and directory management tasks. Implemented features for organizing files by extension, monitoring directory changes, and checking disk space.

View on PyPi

Skill Set

Programming Languages

  • Python
  • C
  • C++
  • Java
  • SQL
  • Flutter
  • Go
  • Dart

Frameworks & Libraries

  • TensorFlow
  • Keras
  • PyTorch
  • Scikit-learn
  • NLTK
  • SpaCy
  • Django
  • Flask

Tools & Platforms

  • Git/GitHub
  • Docker
  • MySQL
  • SQLite
  • VS Code
  • Jupyter Notebook
  • Linux
  • macOS/Windows

Design Tools

  • Figma
  • Adobe XD
  • Canva
  • Adobe Lightroom
  • Adobe Premiere Pro

Core Skills

Problem Solving
Algorithm Design
Data Structures
System Design
Competitive Programming

Achievements

Amazon ML Summer School

Selected twice (2024 & 2025), ranking in the top 4.9% among 61,000+ applicants

Academic Excellence

Maintaining 9.1/10.0 CGPA at SRM University AP

Leadership

Photography Vertical Lead for INFINITUS 2024

Get In Touch

manojpennada@gmail.com

+91 6305234192

Bangalore, Karnataka, India