Open To Work

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SDE 2

Prashanth Prabhakar

Software Development Engineer

Software Engineer with 3+ years of experience in Android, IoT, and embedded systems. Specialized in developing high-performance telematics services, real-time applications, and scalable user interfaces. Currently pursuing MS in Computer Science at Northeastern University.

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0 Years XP

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0 K+ Users

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0 % Memory Optimized

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Work Experience

Building the future of mobility & technology

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Software Development Engineer 2

Ola Electric Bengaluru October 2024 - June 2025

📱 500K+ Scooters 📈 18% Engagement 🎖️ Promoted

• Led development of Cricket & Weather Widgets for MoveOS 5, deployed to 500K+ scooters
• Optimized HMI app memory usage by 50%, cutting ANR rate by ~20%
• Built localization framework supporting 8 languages, reducing integration time by ~40%
• Collaborated with design, backend, and QA teams to deliver production-grade features
• Promoted for technical leadership and delivery excellence across AOSP subsystem

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Software Development Engineer 1

Ola Electric Bengaluru June 2022 - Sept 2024

⚡ Real-time Systems 📉 35% Faster 🔄 Telematics

• Developed core telematics and AOSP services powering the Ola S1 scooter fleet
• Designed software modules for S1X+ Manufacturing System, reducing assembly time by >35%
• Initiated proof-of-concept prototypes cutting feature validation cycles by >15%
• Built real-time telemetry data pipelines for vehicle diagnostics and performance monitoring
• Implemented data collection modules to track battery health, GPS, and ride analytics

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Summer Intern

Ford Motor Chennai May 2021 - July 2021

📊 CRM Systems 🗄️ SQL Server ✅ Data Integrity

• Worked on CRM systems using Microsoft Dynamics 365 for lead management
• Utilized Microsoft SQL Server Management Studio (SSMS) for database operations
• Ensured data consistency and integrity during migration processes
• Identified and resolved data discrepancies in integration workflows
• Gained enterprise software experience in automotive industry

Education

Academic journey & qualifications

CURRENT

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Master of Science - Computer Science

Northeastern University Boston, MA Sept 2025 - Present

🏛️ Top University 📚 Advanced CS 🌟 In Progress

Currently pursuing Master's degree with focus on distributed systems, cloud computing, and large-scale software solutions. Coursework includes Advanced Algorithms, Distributed Systems, Machine Learning, and Software Engineering practices.

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Bachelor of Technology - Computer Science

NIT Trichy Tamil Nadu 2018 - 2022

🏆 Premier Institute 💡 CS Fundamentals ✅ Graduated

Completed Bachelor's degree from National Institute of Technology, Tiruchirappalli. Strong foundation in algorithms, data structures, system design, and software development. Thesis project on Wireless Sensor Networks optimization.

Projects

Innovative solutions and academic research

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Healthcare Chatbot System

Python Keras TensorFlow NLP

🤖 AI Assistant 💬 Natural Language ⚡ Real-time

Developed an intelligent chatbot application for hospitals/clinics using deep learning. Implemented natural language processing for patient queries, appointment scheduling, and symptom analysis. Trained on medical datasets with 92% accuracy in intent classification. Features include multi-turn conversations, context retention, and medical term recognition.

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House Price Prediction using ML

Python Scikit-learn Pandas Regression

📊 ML Model 🎯 Price Prediction 📈 Data Analysis

Built a machine learning model to predict house prices using regression techniques. Performed extensive data preprocessing, feature engineering, and exploratory data analysis to identify key factors affecting property values. Implemented multiple regression algorithms and compared their performance to select the best model.

VIEW CODE

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ToDo Task Manager App

Android Java Room DB MVVM

📱 Native Android 🔄 Sync 🎨 Material UI

Built a feature-rich ToDo application with Android Jetpack components. Implemented Room database for offline storage, LiveData for reactive UI, and ViewModel for lifecycle management. Features include task categorization, priority levels, due date reminders, dark mode support, and swipe gestures.

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2-Level Cluster Optimization for WSN

IoT Optimization Research

🔬 B.Tech Thesis 📈 20% Improvement 🏆 NIT Trichy

Developed a modified GSA-RPI algorithm with hierarchical clustering and meta-heuristic optimization for Mobile Sink Sensor Networks. Extended network lifetime by ~20% through efficient load balancing and energy-aware data collection. Implemented two-level clustering to minimize energy consumption and maximize coverage.

Technical Skills

Tech stack & expertise

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Languages

Kotlin Java Python C C++ JavaScript HTML5 CSS3 SQL

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Mobile & Android Development

Android Jetpack Room Retrofit OkHttp Hilt/Dagger Coroutines Protobuf

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Frameworks & Backend

Flask Django Express.js Node.js React gRPC

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Data Science & ML

Pandas NumPy Matplotlib Scikit-learn

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Tools & Platforms

Git Android Studio IntelliJ IDEA Postman Gradle Jira Figma

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Performance & Profiling

Android Profiler Perfetto Eclipse MAT

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Let's build something amazing together