“The best way to predict the future is to invent it.” — Alan Kay

I’m Sachin Deshik, an Electronics & Communication Engineer building intelligent systems at the intersection of:

• 🤖 Artificial Intelligence & Machine Learning
• 👁 Computer Vision & Sensor Systems
• 📡 IoT / Edge Architectures
• 🔐 Cybersecurity Engineering

I enjoy designing systems where AI meets real-world constraints:

• latency
• reliability
• observability
• security
• deployment scalability

If something can be measured, optimized, secured, and automated — I want to build it.

B.E. Electronics & Communication Engineering
RV College of Engineering — Bangalore

Core focus:

• Signal Processing
• Communication Systems
• Embedded Systems
• Applied Engineering Mathematics

• Python
• C
• JavaScript / TypeScript

• PyTorch
• TensorFlow
• Keras
• scikit-learn
• OpenCV

Capabilities:

• dataset engineering
• model training pipelines
• evaluation and metrics
• inference optimization
• deployment-aware development

Computer vision system for airborne target detection.

Key Features:

• real-time object detection
• optimized inference pipeline
• robust tracking algorithms

Repository

https://github.com/sachin-deshik-10/IRST-Airborne-Object-Detection-Tracking-YOLO

Python toolkit for radar signal acquisition and tracking.

Features:

• radar signal processing
• target tracking algorithms
• modular sensor simulation

Repository

https://github.com/sachin-deshik-10/RADAR_LIBRARY

Infrared Search & Track data processing framework.

Features:

• thermal sensor data pipelines
• airborne threat modeling
• simulation-based evaluation

Repository

https://github.com/sachin-deshik-10/IRST_LIBRARY

Machine learning system for spectrum optimization.

Features:

• feature engineering pipelines
• ML-driven network optimization
• performance analysis

Repository

https://github.com/sachin-deshik-10/5G_AI_POWERED_ORAN

MQTT-based location streaming architecture.

Features:

• real-time telemetry
• low latency communication
• IoT messaging pipelines

Advanced Data-Driven Analysis and Optimization of LoRa Networks: A Comprehensive Machine Learning Approach

Authors
N. S. Deshik, N. Kanthi, S. M

Conference
IEEE CSITSS 2025 — Bangalore

DOI

https://doi.org/10.1109/CSITSS67709.2025.11295011

Keywords

LoRa • Machine Learning • IoT • Signal Processing • Network Optimization

If you're working on:

AI • Computer Vision • Sensor Systems • IoT • Secure Engineering

I'm always open to collaboration, research discussions, and open-source contributions.

Let's build something impactful 🚀