📍 Bangalore, India | 📧 [email protected] | 📱 +91 7022627210
🌐 Portfolio | 💼 LinkedIn | 🖥️ GitHub

Software Engineer with 1+ year of industry experience. Skilled in Embedded Systems, AI/ML, and Backend Engineering. Strong foundations in Data Structures, Algorithms, and OOP. Passionate about building scalable systems, virtual prototyping, and AI-driven solutions.

• Embedded & Low-Level: Embedded C/C++, Verilog, SystemC/TLM, TL-Verilog, FreeRTOS, Assembly
• Architecture & Hardware: RISC-V, ARM Cortex, Driver Development, UART, SPI, I2C, CAN
• System Design & Tools: Virtual Prototyping (QEMU, RISC-V VP++), Firmware Debugging (GDB), Buildroot, FPGA Design
• AI/ML & Acceleration: AI Hardware Acceleration, Deep Learning (CNN, RNN, LSTM), Computer Vision
• Backend & Web: Django, Flask, REST APIs, React.js
• Cloud & DevOps: AWS (EC2, S3, CodeDeploy), CI/CD pipelines

Engineer – Vayavya Labs (Jul 2024 – Present)

• Developed SystemC models for Renesas peripherals (CAN, SPI, UART, IOMMU, Watchdog Timer, RTC, Ethernet, DMAC).
• Integrated a custom IOMMU into RISC-V-VP, booted Linux, and validated IOMMU driver functionality.
• Ported Synopsys Virtualizer code into SystemC using SCML & CCI.
• Built LC-3 Processor simulation in SystemC (ISA support: ADD, AND, NOT, BR, LD, ST, JSR).
• Deployed AI Accelerator on FPGA (VSDSQUADRON) using systolic array-based matrix multiplication.

Research Assistant – Dr. B P Pradeep Kumar (Nov 2023 – Present)

• Worked on posture recognition, sign language detection, walking style identification, diabetes prediction, and image segmentation using deep learning.
• Published works on UNet/UNet++ for medical imaging and AI-driven health monitoring systems.

Backend Developer Intern – Dark Relay Pvt Ltd (Feb 2023 – Sep 2023)

• Built a vulnerable web app (Flask + SQL + React.js) for cybersecurity training labs.
• Integrated intentional vulnerabilities: SQL Injection, Stored XSS, Reflected XSS, IDOR.

Python Developer Intern – Careteam Pvt Ltd (Apr 2022 – Sep 2022)

• Awarded Employee of the Month.
• Built Django web apps with PostgreSQL integration.
• Deployed projects on AWS with CI/CD pipelines (CodeDeploy).

• AI Accelerator on Embedded Linux → TL-Verilog based systolic array integrated with Linux-VP.
• Medical Imaging Research → Brain Tumor & Lung Cancer segmentation using UNet, UNet++, DeepLab.
• Smart Yoga Pose Correction → Combined MediaPipe + VGG16/VGG19 for real-time posture correction.
• AI-Driven Ventilator → Adaptive ventilator with PSA oxygen concentrator (1st Prize, 2024 Major Project).
• Plant Disease Detection Drone → CNN-powered crop disease detection (2nd Prize, 2023 Mini Project).
• Contactless Attendance System → Posture + facial recognition (Smart India Hackathon 2022).

• Distributed Systems | Backend Engineering | Cloud Infrastructure
• Embedded Systems & Firmware | Virtual Prototyping | RISC-V Architecture
• AI/ML Acceleration | FPGA-based Design | Computer Vision

• 1st Prize – Major Project (AI Ventilator)
• 2nd Prize – Mini Project (Plant Disease Detection)
• KSCST Govt. Funded Project
• GATE 2024 Qualified
• SystemC Design and Verification
• Embedded Systems Software – Coursera
• FPGA Computing Systems – Coursera
• RISC-V ISA (Linux Foundation – Ongoing)

• English, Hindi, German (Learning)