LinkedIn • Email • Profile Website

I am an Electronics & Communication Engineering undergraduate focused on
embedded systems, firmware development, and wireless software.

I build performance-critical, real-world systems that integrate
hardware, networking, and software, with emphasis on reliability, latency, and resource constraints.

My experience includes:

• Embedded systems & hardware–software integration (ESP32)
• Wireless systems and signal processing (Wi-Fi CSI, 5G concepts)
• Real-time data pipelines and telemetry systems
• System-oriented backend services supporting firmware and devices
• Consistent hands-on development with 100+ commits across projects

C (Embedded / DSA) • C++ • Rust • Python • Java • JavaScript

ESP32 • IoT Sensors • Wi-Fi CSI • 5G Core Concepts (Free5GC) • Low-latency Systems • Real-time Data Pipelines

Linux / CLI • Git & GitHub • Flask • REST APIs • Machine Learning • ONNX Runtime

ESP32 • Flask • React | 2025

• Designed an embedded wearable system for gait analysis, heart-rate monitoring, and fall detection
• Implemented real-time data streaming and alerts under power and latency constraints
• 🥈 2nd Prize – VNIT Nagpur Summer School (5G Lab)

🔒 Repository is private. Architecture and demo available on request.

Python • Signal Processing • Machine Learning | 2025

• Built a wireless sensing system using Wi-Fi Channel State Information
• Designed feature extraction and ML-based inference across a 7×7 monitoring grid
• Focused on low-latency detection using real-world CSI data

🔒 Repository is private. Methodology available on request.

Rust • ONNX Runtime | 2026

• Implemented an ML-based image compression pipeline
• Used neural latent encoding with ZSTD entropy coding
• Emphasis on performance, efficiency, and high-fidelity reconstruction

🔒 Repository is private. Demo available on request.

MERN Stack | 2025

• Designed backend APIs and data models for secure patient records and scheduling
• Ensured reliability under concurrent access through validation and testing
• 🏁 National Finalist – IIT Indore (Fluxus)
• Presented at IIT BHU Health-Tech Conference

🔒 Repository is private.

MERN Stack • Python | 2024

• Built a real-time analytics dashboard for crop health monitoring
• 🥉 3rd Rank – National Level Competition

🔒 Repository is private.

JavaScript | 2025

• NLP-based translator for Hinglish ↔ English
• Focused on accurate transliteration and translation

🔗 Public repository available.

JavaScript | 2025

• Personal website showcasing projects, skills, and achievements

🔗 Public repository available.

• 🥈 2nd Prize – VNIT Nagpur Summer School (5G Lab)
• 🥉 3rd Rank – National Level Technical Competition (YCCE Nagpur)
• 🏁 National Finalist – IIT Indore (Fluxus)
• Active participant in national-level hackathons and technical events

• 📧 Email: mangeshsarde6@gmail.com
• 🌐 Website: https://mangesh46.github.io/profileweb/
• 📍 Location: Nagpur, Maharashtra, India
• 💼 LinkedIn: https://www.linkedin.com/in/mangesh-sarde-0a348a236

⚡ I focus on building dependable, performance-critical systems with real-world impact.