u
unnambhargav

unnam bhargav

@unnambhargav

MVP Engineer for Hardware and Software

India
Inglés, Hindi, Telugu
Parte de la información aparece en idioma inglés.
Sobre mí
R&D engineer building MVPs and real systems across hardware, firmware, backend, and edge AI, turning ideas into working products that run in real-world conditions.... Lee más

Habilidades

u
unnambhargav
unnam bhargav
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Sistemas integrados e IoT
I will develop complete esp32 systems ,pcb, firmware, backend, app
DeUSD 5 / proyectoMás información
Sistemas integrados e IoT
I will develop custom embedded firmware for your hardware project
DeUSD 150 / proyectoMás información

Experiencia laboral

IoT Systems & Software Engineer

SeriGreen Technologies • Tiempo completo

Sep 2023 - Feb 2026 • 2 yrs 5 mos

Built and owned a full IoT product stack used in agricultural environments, covering hardware, firmware, backend, cloud infrastructure, and mobile applications. Designed ESP32-based sensor nodes, LoRa + 4G gateways, and relay-based automation systems. Developed Node.js and Flask backends with InfluxDB and MySQL, deployed on GCP using Docker. Built Flutter applications for real-time monitoring and control. Reduced on-site visits by 75% through remote monitoring and automation systems.

Project engineer - VISON AI

MATIC Intelligence (7th Horse Agritech) • Tiempo completo

May 2025 - Dec 2025 • 7 mos

Built edge AI systems for automated grading and inspection. Developed OpenCV pipelines and YOLOv8 models for classification, achieving ~80–85% deployed accuracy. Designed mid-server architecture integrating ML inference with real-time pneumatic actuation via serial communication. Built operator interfaces using Electron and worked on embedded systems and industrial edge setups.

Academic Trainee Intern

HCLTech • Tiempo completo

Apr 2024 - Jul 2024 • 3 mos

Developed industrial data pipeline simulations bridging Modbus, CAN, and PROFINET systems to cloud environments. Deployed systems on Azure VMs using RabbitMQ, MySQL, TCP WebSockets, InfluxDB, and Grafana for real-time monitoring. Contributed to BLE-based asset management mobile interface.