Headline

AI x Embedded Systems

About

As a young student, I was deeply moved by the challenges faced by people. Determined to make a difference, I designed a Smart System for the Visually Impaired, a project that would not only win me the "Young Scientist" award from KSTEPS, but also shape the very direction of my life. It was a signpost pointing toward my calling.. I pursued and lived my degree with a mission to bridge gaps in healthcare through innovation. My journey continued at For All Health Technologies, where I stepped into the world of medical devices. As an R&D intern, I worked on Dripstop, an embedded system designed to regulate gravity IV infusions with pinpoint accuracy. At Param Hansa Center for Computational Oncology at Indian Institute of Science (IISc), I ventured into computational biology. There, I explored how fasting influences the Epithelial to Mesenchymal Transition, contributing to fundamental biological insights. To democratize access to complex modeling tools, I developed GSMM, a Python-based open-source library to simplify metabolic modeling for researchers to focus on science, not tool search or syntax or algorithms! Then came one of my most meaningful projects — a portable, low-cost neonatal incubator IoMT. Designed for remote healthcare settings, it integrated real-time monitoring and intelligent protection to give vulnerable newborns. I also ventured into AI, contributing to an AI-driven liver segmentation project, tailored to run on Apple’s M1 architecture. I also built a powerful LinkedIn Company Data Scraper, blending machine learning, automation, and analytics to unlock deeper business insights. Today, with a strong foundation in embedded systems, circuit design, AI, and computational biology, I stand at the intersection of technology and humanity. I thrive on challenging problems and love working at the edge where disciplines blur and innovation happens.

Location

Bengaluru

AI stack

hermes agent

hugging face

langgraph

Google ADK

OpenRouter

vLLM

Work experience

AI Engineer Intern at eBiz Solutions dba enaiblr, Sep 2025 - Present · 1 yr, Hyderabad, Telangana, India

AIML Intern at ICAR- Indian Council of Agricultural Research, Feb 2026 - Mar 2026 · 2 mos, Bengaluru, Karnataka, India

Intern at ARTPARK, Feb 2025 - Apr 2025 · 3 mos, On-site, During my internship, I had the opportunity to significantly contribute through hands-on experience in firmware development and in-depth system debugging. My work primarily focused on enhancing the functionality and reliability of drone components within the DroneCAN framework and PX4 autopilot ecosystem. This role allowed me to apply theoretical knowledge to troubleshooting complex sensor behaviors: 1. Compiled ARKGPS firmware through STM32IDE by configuring GPIO headers using NuttX and resolving header naming clashes between STM32IDE and PX4/NuttX headers. 2. Gained expertise in ARKGPS firmware, including flashing procedures, compatibility verification with DroneCAN, and GPS functionality testing on PX4 and ArduPilot platforms. 3. Contributed the selection of Low Dropout (LDO) regulators, identifying optimal components based on output current, voltage dropout, and power supply rejection ratio (PSRR) for various applications. 4. Validated the compatibility of Autopilot firmware with CAN transceivers (TJA1050 and TJA1051), concluding that TJA1051 is preferred due to its ISO 11898-2 compliance for DroneCAN communication. 5. Performed in-depth debugging and analysis of VayDyn Flow ToF Sensor behavior, utilizing PyMavLink scripts to investigate sensor output rates and confirm driver-level logic for out-of-range conditions.

Project Intern at BIG Foundation, Sep 2024 - Dec 2024 · 4 mos, Bengaluru, Karnataka, India, During my internship, I played a key role in the development of a Neonatal IoMT incubator. My contributions spanned across various stages, from initial research and system architecture design to hardware and software implementation, including real-time data streaming, GUI development, and critical PCB design: 1. Conducted extensive literature reviews, compiling methodologies and best practices, and presented interpretations to the team through data visualization. 2. Designed the hardware and firmware architectures for the project , evaluating and selecting the technical stack for both software and hardware. 3. Created BOM, shortlisting microcontroller, microprocessor, various sensors (NCIR, Light Intensity, Pulse Rate, ToF), actuators (Ultrasonic Humidifier, Thermoelectric Heater, 470nm LEDs for Phototherapy), and power delivery components (DC-DC Buck Converters, SMPS). 4. Configured Advanced Linux Sound Architecture (ALSA) for 2-channel, 16-bit PCM, Little Endian microphone input , and established I2S protocol for dual microphone array input, ensuring compatibility with the Google Voice HAT driver in an embedded Linux environment. 5. Implemented real-time video streaming and concurrent audio capture and streaming with data compression for low-latency, high-quality transmission over WiFi. 6. Developed a touchscreen-based, authentication-enabled GUI using PyQT, incorporating object-oriented programming and real-time sensor trend line visualization. 7. Developed a reliable algorithm for accurate pulse rate measurement to avoid human errors. 8. Conducted comprehensive unit tests for Embedded Linux peripherals and the PyQT-based GUI. 9. Designed Phototherapy Unit and Power Management PCB for voltage regulation, MOSFET switches for high-power load control, and external power input protection. 10. Visited KIMS Bangalore with the team to present progress, discuss requirements and optimizations, and drafted notes for team alignment and planning.

Computational Oncology at Indian Institute of Science (IISc), May 2024 - Jul 2024 · 3 mos, Bengaluru, Karnataka, India, In a team of 4, we researched on understanding of fasting's inhibitory effects on Epithelial-Mesenchymal Transition (EMT) in cancer, achieved through a sophisticated dual computational approach. The work combines Gene Regulatory Network (GRN) modeling using RACIPE with Genome Scale Metabolic Modeling (GSMM), providing a multi-scale perspective on how fasting influences cellular dynamics and metabolism. I took the opportunity to execute comprehensive Genome-Scale Metabolic Modeling (GSMM) and flux analysis, elucidating metabolic adaptations during EMT under fasting conditions and identifying fundamental amino acid dependencies. To develop a Python based similar research workflow, I developed and actively manage the GSMM open-source library, standardizing Genome-Scale Metabolic Modeling workflows to enhance accessibility and reproducibility for the global research community!

Education

Bachelor's degree, Biomedical/Medical Engineering, B. M. S. College of Engineering

Science, Government Pre University College Gadag

Public links

github: https://github.com/KarthikDani

youtube.com: https://youtube.com/@karthikdani