Embedded Digital Thermostat
Temperature monitoring and automated control with firmware, sensors, and iterative validation.
COMPUTER ENGINEERING · UT DALLAS
Vikrama Harshith
Inapurapu
Embedded systems, digital hardware, robotics, semiconductor research, software, and AI automation — explored through one interactive system.
Scroll to explore the GPU architecture of my work
01 · ABOUT
Built through curiosity.
I’m a Computer Engineering student at The University of Texas at Dallas with interests in embedded systems, digital hardware, semiconductor technology, software development, and AI. I enjoy building and debugging real-world systems—from microcontroller firmware and FPGA designs to robotics, sensing, and hardware-software integration. Through hands-on projects, research, and technical coursework, I’ve developed experience with C/C++, Python, Verilog, Linux, and modern engineering tools. I’m driven by curiosity, continuous learning, and the challenge of turning complex ideas into practical, reliable technology.
02 · COURSEWORK
Foundations.
The structural base beneath everything else: system thinking, hardware, software, logic, and engineering fundamentals.
Also reflected across resume versions: Discrete Mathematics for Computing, Computer Networks, Database Systems, Operating Systems, and Electrical Network Analysis.
03 · PROJECTS
Systems in motion.
Firmware, full-stack software, sensing systems, and robotics — built by combining hardware and software into working systems.
Poyo's Potion Dashboard
HackUTD inventory dashboard with REST APIs, database workflows, discrepancy detection, and visualization.
ESP32 Sensing & Monitoring System
Environmental monitoring, wireless communication, and camera streaming using ESP32-based firmware.
Solis Rover
Embedded firmware and hardware-software integration for rover sensing and control.
HLS & FPGA Optimization
Hardware performance improvements through pipelining, parallelism, HLS, and verification.
04 · RESEARCH
From devices to architectures.
Research across semiconductor fabrication and digital hardware optimization.
DARC LABS · UTD
May 2026 – Aug 2026
High-Level Synthesis & Digital Hardware Research
Worked with Verilog, C/C++, HLS, FPGA workflows, pipelining, parallelism, simulation, waveform analysis, and Python automation.
QUANTUM MATERIALS LAB · UTD
May 2025 – Aug 2025
Semiconductor Fabrication & Characterization
Worked with photolithography, CVD, etching, device fabrication, measurements, process characterization, and experimental analysis.
05 · CERTIFICATIONS
Supplemental learning.
AI, cloud, programming, and cybersecurity learning outside the classroom.
06 · SKILLS
One integrated stack.
Hardware, embedded systems, software, AI, and engineering tools working together.
07 · CONTACT
Let’s connect.
The GPU comes back together here — just like the way all of these areas come together in the kind of engineering work I want to keep building.