Engineering signals into intelligent systems.
I'm Sam — a final-year Electronics & Communication Engineering (AI) student who moves fluidly between circuits, firmware, and machine learning. Sensor to signal to decision.
From breadboard to deployment.
I like taking ideas apart at the signal level — sensors, firmware, control loops, and the models that make sense of what they capture. Recent work spans an IoT accident-detection rig, a satellite-imagery wildfire classifier, and a self-correcting solar tracker.
Alongside coursework, I've spent time inside Titan Company Limited's R&D floor learning how a product moves from CAD to prototype, and interned in cybersecurity studying how real infrastructure gets attacked — and defended.
end-to-end
certifications
Three problems, three signal chains.
Real-Time IoT-Based Accident Warning System
An ESP32 rig fuses IMU and GPS data to catch a crash the instant it happens. G-force threshold algorithms trigger instant emergency telemetry and coordinate alerts — no one has to dial for help.
Forest Fire Detection from Satellite Imagery
A spectral image-processing pipeline isolates high-risk fire zones from satellite imagery, then hands them to SVM and Random Forest classifiers trained to flag ignition risk early.
Automatic Dual-Axis Solar Tracker
A closed-loop system reads LDR sensors and drives dual-axis servos via PWM to keep a panel pointed at the sun all day — a 25% jump in energy harvested over a fixed panel.
Explore more of what I've been building.
Comfortable on both sides of the wire.
Real-time firmware and control logic for microcontroller-driven hardware.
Sensor fusion and real-time telemetry pipelines from device to dashboard.
Classical ML and image-processing pipelines for classification and detection.
Schematic capture through board layout, from concept to fabrication-ready.
Education & certifications.
Got a build in mind?
Let's talk.
Open to internship opportunities in embedded systems, IoT, and applied ML. I reply fastest by email.
Say hello — samsarvesh23@gmail.com