Embedded Systems Engineer | PCB Design & Validation | Edge AI Specialist

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India





Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
Reva University
Intermediate, MPC
Narayana Junior College - India
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I am an Embedded Systems Engineer with hands-on experience building real-world hardware products, from custom PCB design to edge AI running on boards like Raspberry Pi and ESP32. Over the last couple of years, I’ve worked on industrial R&D projects at CMTI and co-founded GENCRA Pvt Ltd, where I helped build an AI-driven companion robot with on-device emotion detection and conversational interaction. My core skills include PCB design in KiCad, circuit debugging, hardware validation, and embedded programming on platforms such as ESP32, ESP8266, Arduino, Raspberry Pi 4/5, and Jetson Nano. I am comfortable working with communication protocols like UART, I2C, SPI, I2S, BLE, Wi‑Fi, and LoRa, and I primarily use Python, C, Linux, and Git in my daily work. Some of the key projects I’ve worked on include: -> Sathvix - AI companion robot with computer vision and voice interaction on Raspberry Pi 5 -> Energy Monitoring System - multi-sensor PCB for voltage, current, and power measurement -> Smart Tool Holder - strain gauge–based data acquisition system with BLE connectivity -> SpeakEasy Reader - OCR-based text-to-speech device for visually impaired users, published at IEEE ICCCNT 2024. I enjoy working on product-focused, cross-disciplinary problems where electronics, firmware, and AI come together.
Bengaluru
hugging face
ollama
openai
replit
Embedded System Engineer - Co-Founder/Director at GENCRA Private Limited, May 2024 - Apr 2026 · 2 yrs, Bengaluru, Karnataka, India, Key Contributions and Technical Milestones: Product Vision & Leadership: Spearheaded the end-to-end development of Sathvix, an AI-driven companion robot designed for emotion-aware interactions. Edge AI Pipeline Development: Designed and deployed a high-performance Edge AI pipeline on Raspberry Pi 5, utilizing Python, OpenCV, and PyTorch for real-time facial emotion recognition. Hardware Architecture: Integrated complex hardware modules, including camera systems, microphones, speakers, and display interfaces using I2C, SPI, and I2S protocols. Embedded System Optimization: Engineered low-latency response workflows to ensure fluid, real-time conversational interaction between the robot and users. Cross-Functional Integration: Managed the convergence of computer vision, voice interaction, and embedded processing into a single, cohesive consumer-facing prototype.
Apprentice at CMTI - Central Manufacturing Technology Institute, Aug 2024 - Apr 2025 · 9 mos, Bengaluru, Karnataka, India, Worked on the Energy Monitoring System project involving PCB design and implementation. Contributed to the Smart Tool Holder project by developing PCB’s and testing hardware components and PCB's. Participated in the Air Pollution Centrifuge system design, focusing on system architecture and integration. Gained hands-on experience with electronic components, circuit testing, and debugging.
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Reva University
Intermediate, MPC, Narayana Junior College - India