B.Tech in Electronics & Communication Engineering (ECE) ️ Amrita School of Engineering (Amrita Vishwa Vidyapeetham)
I am a Hardware-Software Engineer bridging the gap between embedded hardware, real-time edge processing, computer vision, RF electromagnetics automation, and scalable software systems. My academic and research work centers on embedded AI, RF antenna synthesis, IoT energy monitoring, sensor drift recalibration, and intelligent autonomous systems.
- Current Focus: Embedded AI, RF Antenna Synthesis, ANSYS HFSS Automation, ESP32 IoT, Computer Vision (OpenCV/YOLO), and Real-Time Signal Processing.
- Primary Research: Time-dependent Gas Sensor Array Drift Compensation & RF Surrogate-Assisted Optimization.
- Career Target: Embedded AI Engineer / Software Development Engineer (SDE) / RF & Computer Vision Specialist.
AI + RF Automation: Intelligent RF antenna design framework combining Transmission Line Analytical Synthesis, ML Surrogate Modeling (Random Forest), Multi-Objective Genetic Algorithms, and PyAEDT 3D ANSYS HFSS script generation.
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Performance: < 0.05 second optimization (vs 6+ hours for 100 HFSS FEM iterations), -24.85 dB Return Loss (
$S_{11}$ ), and automated 3D.aedtscript export (build_hfss_antenna.py). - ️ Tech: Python, ANSYS HFSS, PyAEDT, scikit-learn, Multi-Objective GA, Electromagnetics.
Assistive Healthcare IoT: Production-grade ESP32 embedded dispenser with RTC time synchronization, PWM servo carousel positioning, IR beam exit chute drop verification, multi-modal alerts, and Blynk/Firebase cloud caregiver monitoring.
- ️ Tech: ESP32, Servo Motor, OLED SSD1306, IR Sensor, RTC DS3231, Blynk, Firebase, C++, Python.
Novel Architecture: Hybrid-DynaGated Dual-Stream Edge Architecture (HD-DSEA) combining supervised YOLOv8 detection with unsupervised reconstruction-residual autoencoders for zero-shot manufacturing defect detection on Edge Hardware (NVIDIA Jetson).
- ️ Tech: Python, YOLOv8-Lite, Autoencoders, TensorRT Optimization, GPIO Hardware Triggers.
Scalable Microservice: High-performance Node.js & Express API Gateway integrated with Google Gemini API, security middleware (Helmet/CORS/RateLimiter), and interactive Web API Playground.
- ️ Tech: Node.js, Express, Google Gemini API, REST APIs, Jest, Morgan.
IoT Energy Analytics: Real-time AC voltage/current measurement (ZMPT101B + ACS712), automated relay surge protection, and Blynk/Firebase cloud telemetry.
- ️ Tech: ESP32, Sensors, Relays, Blynk IoT, Firebase, C++, Node.js.
- Dataset: Gas Sensor Array Drift Dataset (13,910 measurements, 16 sensors, 128 features across 10 temporal batches).
- Novelty: Persistence-aware, severity-controlled recalibration using Autoencoder Reconstruction Error monitoring, Incremental PCA, and energy-aware scheduling.
- Tech: Python, OpenCV, YOLO Object Detection, Speech Recognition, PyTTSx3, REST APIs.
- Tech: Python, FastAPI, React 18, WhatsApp Cloud API, PostgreSQL, Redis, Docker.
| Category | Skills & Technologies |
|---|---|
| RF & Electromagnetics | ANSYS HFSS / AEDT, PyAEDT Automation, S-Parameters ( |
| Embedded & IoT | ESP32, Arduino UNO, NodeMCU, FreeRTOS, ZMPT101B, ACS712, MQ-2, Relays, Blynk, Firebase, ThingSpeak |
| Edge AI & Vision | YOLOv8, TensorRT, Autoencoders, Anomaly Detection, OpenCV, TensorFlow/Keras, scikit-learn |
| Programming | C++, Python, JavaScript (Node.js/Express), C, SQL, MATLAB |
| Electronics & VLSI | Analog Electronics, Communication Theory, Control Systems, Cadence Virtuoso, LTspice, SPICE Simulation |
| Signal Processing | MATLAB, DSP, FFT, DTFT, FIR/IIR Butterworth & Chebyshev Filters, Bilinear Transform |
| Software & DevOps | Data Structures & Algorithms (DSA), OOP, DBMS, OS, Git/GitHub, Linux, Docker, Postman, Nginx |