Ramayanam Sai Venkata Krishna
Embedded Firmware Engineer • Bengaluru, India • v***********************@gmail.com • +91*******180 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Embedded Firmware Engineer with 0 years of industry experience and hands-on internships and apprenticeship in embedded C/C++, RTOS, IoT firmware, and electronics manufacturing. Skilled in Embedded C/C++ development for ESP32, ESP8266 and Arduino platforms, FreeRTOS-based task design and inter-task communication, and cloud integration using Firebase Realtime Database. Worked across IoT medical device prototyping, electronics manufacturing validation, and an ML-based fraud-detection proof-of-concept, owning firmware modules, integration test procedures, and reproducible code artifacts on GitHub. Experienced in PCB manufacturing workflows (SMT, PTH), BOM verification, serial-debug driven fault analysis, and data-processing with scikit-learn and Pandas for model evaluation. Seeking an embedded firmware role where I can apply RTOS design, peripheral driver development, and end-to-end HW–SW integration to productize IoT and industrial systems.
Technical Skills
Programming Language: C++,Python
Databases: Firebase Realtime Database
Cloud Platforms: HTTP
Version Control & Development Tools: GitHub
API & Integrations: RESTful APIs
Data Analysis & Visualization: Pandas,NumPy
AI/ML Frameworks & Libraries: scikit-learn
Supply Chain Management: Bill of Materials
Project Management & Collaboration: ESP-IDF
Embedded Systems & RTOS: Embedded C,FreeRTOS,RTOS,Mutexes,SMT,PTH
Microcontrollers & Processors: ESP32,ESP8266,Arduino
Communication Protocols: UART,I2C
Work Experience
Indic EMS Electronics Pvt. Ltd.
Bengaluru, India
Apprentice - Digital Manufacturing (MES)
Jun 2025 – Apr 2026
Electronics manufacturing services company; supported PCB assembly, post-assembly validation and handoff of production boards to firmware teams.
Tech Stack: SMT, PTH, BOM verification, SAP Digital Manufacturing, Zestfloor
- Executed end-to-end PCB manufacturing workflows including SMT and PTH operations to validate production-ready assemblies.
- Performed BOM verification and component traceability checks to ensure parts conformity and reduce rework during assembly.
- Configured and monitored production workflows using Zestfloor and SAP Digital Manufacturing to capture shop-floor process data.
- Bridged manufacturing floor and embedded firmware teams by identifying hardware constraints that caused firmware failures during validation.
- Drove post-assembly board-level validation, performing firmware flashing and serial-log analysis over UART to reproduce defects.
- Implemented functional test procedures and handoff documentation for firmware engineers to accelerate first-pass board acceptance.
MSR Tech Research Labz Pvt. Ltd.
Hyderabad, India
IoT Development Intern
Dec 2024 – Apr 2025
R&D environment focused on IoT prototypes; worked on an ESP32-based medical dispensing prototype with cloud monitoring and remote telemetry.
Tech Stack: ESP32, Firebase Realtime Database, I2C, GitHub
- Designed and prototyped ESP32 firmware for a medical dispensing system, implementing sensor interfacing via I2C for status monitoring.
- Implemented Wi‑Fi connectivity and cloud synchronization using ESP32 and Firebase Realtime Database to enable remote telemetry.
- Integrated remote monitoring and mobile alerting for clinicians using Firebase-backed notifications.
- Conducted embedded firmware testing and hardware–software integration including ADC-based sensor validation and actuator control.
- Debugged system-level integration issues using serial logs to reproduce connectivity and sensor-fusion faults.
- Documented firmware architecture and committed prototype code and test procedures to GitHub for team handoff.
Henotic Technology Pvt. Ltd.
Hyderabad, India
AI / ML Intern
Jul 2023 – Sep 2023
Early-stage analytics team building ML prototypes for payment fraud detection on bank transaction data.
Tech Stack: Python, scikit-learn, Pandas, NumPy, Jupyter Notebooks, GitHub
- Built an end-to-end fraud detection pipeline using Python and scikit-learn SVM, achieving over 85% precision, recall and F1-score.
- Processed payment transaction datasets using Pandas and NumPy for feature engineering and data cleaning.
- Evaluated model behavior with ROC-AUC, confusion matrices, and Matthews Correlation Coefficient to assess classifier performance.
- Implemented cross-validation and GridSearchCV-based hyperparameter tuning to improve generalization for imbalanced classes.
- Delivered reproducible Jupyter notebooks and version-controlled code artifacts to GitHub for knowledge transfer.
- Deployed batch scoring scripts for offline evaluation and produced CSV reports for downstream analysis.
Projects
Battery Protection and Monitoring System | 2023 – 2023
Tools Used: Arduino Mega ATmega2560, ESP8266, Firebase Realtime Database, C++, Arduino IDE
- Built a real-time embedded monitoring system that measured battery voltage, current, and temperature and applied relay-based protection logic in C++.
- Integrated ESP8266-based wireless connectivity to stream telemetry to Firebase Realtime Database for remote monitoring via a mobile app.
- Implemented protection state machine that latched faults for over-voltage and over-current conditions and triggered safe shutdown.
- Documented system design and delivered a working prototype that won 1st place at the college project expo.
Fall Detection System for Patient Safety | 2024 – 2024
Tools Used: ESP32, MPU6050, Firebase Realtime Database, I2C, Machine Learning
- Designed an ESP32-based sensing node to stream MPU6050 accelerometer and gyroscope data to Firebase for continuous monitoring.
- Applied ML classification on time-windowed IMU data to detect fall events and trigger emergency alerts to caregivers via cloud notifications.
FreeRTOS Battery Protection Simulator | 2026 – 2026
Tools Used: FreeRTOS, Embedded C, RTOS primitives, Windows simulator
- Developed a Battery Protection Controller simulator using FreeRTOS to model multitasking firmware behavior and inter-task communication.
- Implemented task design with queues and mutexes, software timers, and a battery protection state machine to simulate fault detection and latching.
- Documented architecture, task responsibilities, and integration test cases in a public GitHub README for team reference.
Education
SRKR Engineering College
B.Tech – Electrical and Electronics Engineering (EEE) • Bhimavaram, Andhra Pradesh, India • Jun 2021 – Apr 2025
Certifications
Introduction to IoT Development Framework: ESP-IDF — Udemy • Jul 2025
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