Jayaram Rajgopal
Embedded Systems ·
RTL Design ·
Physical Design & VLSI
Building intelligence from silicon up.
Recent dual-degree graduate in Electrical Engineering and Computer Systems Engineering from RPI, with hands-on experience spanning embedded firmware, FPGA design, PCB layout, , physical design and machine learning. I've built FreeRTOS-based STM32 systems, custom PCBs, and real-time computer vision pipelines running on embedded hardware. I'm looking to bring that breadth to roles in embedded systems, hardware verification, silicon design or applied AI.
Academic Background
Education
Bachelor of Science · Electrical Engineering · Computer Systems Engineering
Rensselaer Polytechnic Institute
- Relevant coursework: Data Structures, Intro to Algorithms, Electrical Circuits, Intro to Electronics, Microprocessor Systems, Advanced Computer Systems, Robotics, VLSI Design, Intro to Machine Learning
Additional Coursework · Electrical Engineering
Portland State University
- Relevant coursework: Verilog & FPGA Design, Microprocessor Interfacing & Embedded Systems
Open Source
Projects
MCP Security Simulation
Simulates file integrity attacks against an MCP (Model Context Protocol) server, including a reference MITM proxy. Features an interactive REPL where users toggle HMAC-SHA256 cryptographic sealing on/off to compare secured vs. unsecured states in real time.
VLSI Design — CMOS Circuits
Designed and verified CMOS circuit schematics and layouts in Cadence Virtuoso, running DRC, LVS, and post-layout PEX simulations to validate functionality.
Microprocessor Systems
Series of HAL and register-level projects on the STM32 in C and Assembly, covering GPIO, Timers, UART/SPI, ADC/DAC, DMA, and USB peripherals.
FPGA Logic Design
Implemented and simulated core digital logic units — Full Adder, ALU, registers, and RAM — in Verilog, VHDL, and MIPS Assembly on a Xilinx Basys 3 FPGA.
Work History
Experience
AI Intern
IIT Madras Pravartak
- Ran a comparison study across various object detection models to identify the best performing model with low latency using mAP, precision, and recall
- Conducted a performance test that analyzed the various metrics of pre-trained BERT model before and after pruning
- Developed a custom a chatbot for train station customer FAQs using that uses a BERT(standard and pruned) classifier, hybrid RAG pipeline, and small-scale LLM for human-like responses
- Augmented a YOLOv26-based crowd analytics program using the OSNet Re-ID model and StrongSORT
IT and Dev Ops Intern
Siemens Digital Industries Software
- Developed a C# and Microsoft SQL Server-based REST API web service enabling users to view and submit requests for emulation machine access.
- Enhanced website performance by optimizing the portal using Bootstrap, AJAX, and JavaScript.
Competencies
Skills
Languages
Hardware & Embedded
AI / ML
Frameworks & Tools
Always learning — this list is never complete.
Contact
I welcome inquiries regarding roles, collaborations, or technical discussions. Please feel free to reach out through any of the channels below.