Open to Full-Time Roles · Graduating 2027
Final-year Electronics and Communications Engineering student at VIT-AP, graduating 2027. I build embedded firmware, Linux drivers, and hardware accelerators. Most problems get interesting when you stop trusting the abstraction.
It started with a bluetooth robotic arm at 13. I didn't have a datasheet. I didn't know datasheets existed. All I knew was I wanted to understand why it worked.
That question "why?" never left. It kept following me through every project. And every time I thought I had the answer, I'd realize there was another layer worth understanding.
Now I enjoy working at the hardware-software boundary. I'm drawn to problems that reward understanding the system beneath the abstraction, whether that means debugging, designing, or building from the ground up.
Outside of that I play a lot of chess, occasionally basketball, and spend more time than I should listening to a song on repeat until I've figured out exactly what the lyrics are doing.
Hardware, firmware, and ML. Sometimes all three at once.
A full SoC bring-up on the STM32MP157D, split across its two cores. The Cortex-M4 runs FreeRTOS with a 1kHz PID loop controlling a motor, and the Cortex-A7 runs a PREEMPT_RT Linux build from a custom Yocto BSP layer I wrote. The two cores talk over RPMsg with a custom kernel module. The whole stack boots and wires itself up automatically via systemd, no manual steps.
A custom convolution accelerator on a Zynq-7000, streaming data between the ARM cores (PS) and the FPGA fabric (PL) over AXI4. I wrote the HLS kernel for the convolution layer and tuned the dataflow and loop unrolling until it hit 1421 inferences/sec, 2.67x faster than the same workload running purely in software on the Cortex-A9, while using 5x fewer DSP48 blocks than an unoptimized HLS baseline.
Triggered by the Tirupati laddu adulteration controversy: could a small device tell the difference between pure and adulterated ghee by smell alone, with no lab equipment? Built a sensor array that reads the chemical signature of heated ghee, trained a tiny classifier that fits on a microcontroller, and got to 86.6% accuracy running entirely on-device.
A drone you control over a cable, for situations where radio links are unreliable or battery life matters more than freedom of movement. I replaced the standard remote control radio with a custom communication stack, built a flight dashboard with live telemetry, and added a circuit to switch between tether power and battery mid-flight. It flew.
My university's humanoid robot. It could hold a conversation, recognise faces and remember who it had met before. Demonstrated to the HRD Minister of Andhra Pradesh at two public events.
Experiments, side projects, half-finished ideas, and things that didn't make this list. The interesting stuff usually lives here first.
Bluetooth-controlled robotic arm, before I owned a multimeter or knew what a datasheet was. The start of everything.
Led my school team to the finals of the pan-Asia Young Innovators Program (YIP 2019). First time competing at that scale.
Designed and shipped a personal site with an interactive chatbot. First real full-stack project, and the reason this one exists.
National Hackathon 2024 (VIT-AP) and TinkerQuest '24 (IIT Roorkee × Redcliffe Labs), among others. Rapid iteration under pressure turned out to be a useful skill.
Authored two IEEE conference papers.
Government innovation grant for CogniLift, a neurofeedback-based brain activity monitoring and therapy device. First time building something at the brain-computer interface, and the first time someone external put money behind the direction.
