Tier 1: Advanced Industry CAD Automation & AI-Assisted Silicon (2023 – Present)
Showcasing cutting-edge agentic CAD toolchains, autonomous RISC-V FPGA tapeouts, and full-stack systems engineering.
Internal CAD Automation via Claude Code & AI Agents
Silicon Design Engineer Initiative | 2023 – PresentArchitected internal CAD automation workflows leveraging Claude Code and autonomous AI agents. Engineered custom agent skills and automation hooks to accelerate analog circuit sizing, formal equivalence verification, and DRC/LVS routing iterations across advanced semiconductor process nodes.
Openlane_processor: 64-Bit RISC-V Linux FPGA Tapeout
Autonomous AI ASIC Experiment | 2026Pioneering an advanced experiment utilizing Gemini 3.1 Pro in Google Antigravity to architect, synthesize, and verify a complete 64-bit RISC-V microprocessor. Designed for FPGA deployment and execution of a full Linux kernel, leveraging automated OpenLane flow generation.
System-Level Mixed-Signal Modeling & Formal LEC
Enterprise ASIC Methodologies | 2023 – PresentEngineered system-level analog and mixed-signal verification environments leveraging XMODEL and MODELZEN by Scientific Analog. Executed rigorous equivalence checking and static property verification using Synopsys ESP and Cadence Conformal LEC across multi-million gate ASIC tapeouts.
JellyfinOfflineClient: Smart Offline Media Architecture
Full-Stack AI Experiment | 2026Architected a smart offline client for Jellyfin media servers as part of an experimental autonomous developer workflow using Gemini 3.1 Pro. Built with robust client-side media caching, offline synchronization protocols, and responsive UI components.
Hydra_Bot_the_builder: Autonomous Discord Bot
Open-Source Developer Utility | 2024Engineered a feature-rich, automated Discord bot designed for community server management, interactive command handling, and custom event workflows. Built with modular event hooks and seamless asynchronous API integrations.
Tier 2: University & Research Foundations (NITK 2020 – 2023)
Undergraduate honors thesis, academic tapeouts, and foundational hardware engineering research at National Institute of Technology Karnataka.
RISC-V Microcontroller using OpenLane
Under Prof. Ramesh Kini, NITK | Jan 2022 – Apr 2022Configured open-source RISC-V core PICORV32 with custom co-processors and modified the OpenLane flow for manufacturing GDSII files using SkyWater 130nm PDK. Performed extensive design space exploration across area and delay optimization.
Configurable Framework for CNN on Hardware
Under Prof. Sumam David, NITK | Jan 2023 – Apr 2023Designed scalable memory architectures to efficiently utilize onboard FPGA BRAM to load input parameters of CNNs of any kernel size and stride length. Exploited pixel re-usability during convolution to drastically reduce LUT utilization.
MIT Beta-ISA Pipelined Microprocessor
Under Prof. MS Bhat, NITK | Jan 2023 – Apr 2023Architected a full 5-stage pipelined microprocessor (Instruction Fetch, Decode, ALU, Memory, Write-Back) based on MIT OCW Beta-ISA. Built a custom GUI-based assembler in Python to translate assembly code to machine code.
Security Module for Microprocessor
October 2020 – March 2021Designed a 32-bit RISC processor in Verilog with its own ISA. Integrated a 128-bit AES encryption block to encrypt data/instructions in memory, thwarting hardware probing attacks. Developed a Python assembler that encrypts machine code on the fly.
4-bit ALU using Magic VLSI
Under Prof. Ramesh Kini, NITK | Nov 2021Implemented a 4-bit ALU capable of Addition, AND, and OR operations using Pharosc vcslib 130nm technology standard cells. Wrote an automated bash testbench script that generates random test cases and verifies layout outputs.
Live Object Detection Using Raspberry Pi
Under Prof. Sumam David, NITK | Jan 2021 – Mar 2021Deployed MobileNet-SSD V2 object detection model on Raspberry Pi with remote SFTP access. Optimized frame pipeline and downscaled video stream to 480p to achieve real-time live object detection at a steady 15 FPS.