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PranayViswaraj/README.md

Pranay V

Embedded Systems · VLSI Design & Verification · Edge AI

Final-year B.E. Electronics & Communication Engineering (VLSI Honors) at Sri Venkateswara College of Engineering, Chennai. I build connected hardware end to end and design and verify digital hardware in Verilog.

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About me

  • 🔧 Now: Embedded Engineer Intern at Tivor, building end-of-line test software for automotive electronics (CAN / CAN FD, LIN, SCPI, GigE vision).
  • 🧠 Focus: RTL design and verification, embedded and IoT systems, and on-device machine learning.
  • 📜 Two published Indian patent applications (Patent Office Journal 24/2026).
  • 🏆 Hackathons: Smart India Hackathon 2025 national finalist, K-Hacks (CEG) Special Track winner, plus 10+ hackathon wins and top finishes.
  • 🎯 Looking for: full-time roles in RTL design, design verification, FPGA prototyping and embedded systems.

Experience

Role Organization Period Highlights
Embedded Engineer Intern Tivor, Chennai Sep 2026 – Present End-of-line functional test platform for automotive electronics; hardware abstraction layer with runtime driver binding across CAN, DAQ, SCPI and GigE devices; proof of concept on a live production line
Embedded & Software Engineer Intern Rela Hospitals, Chennai Feb 2026 – Apr 2026 Non-invasive blood group prediction from fingerprints on ESP32 hardware: 94% accuracy, under 5 s; tested against clinical requirements
Industrial IoT Project Intern Ashok Leyland, Chennai Nov 2025 – Apr 2026 ESP32 → MQTT battery and GPS monitoring for 30+ forklifts: −60% manual inspection, −40% unplanned downtime, +20% battery life
RAG & Application Development Intern Playful Python, Chennai Dec 2024 – Jan 2025 Production RAG assistant over 1,000+ documents; +35% retrieval precision with chunk-aware indexing and query rewriting

Featured projects

VLSI design & verification

Project What it is Key results
Adaptive Reconfigurable Cache Controller 32-bit, 1–16 KB, 2/4-way write-through cache in Verilog with Random, LRU and Pseudo-LRU replacement and a set-dueling runtime policy selector 218/218 regression tests vs a Python reference model (~3.7 M requests); +0.43% area; up to −38.7% stall cycles vs LRU (Yosys + Nangate 45 nm)
ARINC 429 Health-Aware Controller Transmitter, receiver and controller RTL for the ARINC 429 avionics bus, with a fault-injection testbench (final-year project) 271/271 tests; 100% single-bit parity error detection
Gesture-to-Speech on FPGA FSM-based RTL turning flex-sensor and MPU6050 data into speech 200 MHz in Cadence Genus, critical path < 2 ns, power < 25 mW; validated on an Altera FPGA

Embedded systems & IoT

Project What it is Key results
AgroSmart · patent published ESP32 → MQTT → Flask → MongoDB → React precision-agriculture platform with a sensor rover, ML-driven drip irrigation and rainwater harvesting 92% oilseed yield-forecast accuracy; −30% water use
PROTECT-R: AI-Powered Offline Women Safety Wearable ESP32-S3 wearable running three on-device models (TinyML audio, CNN gesture, LSTM motion), with GSM, GPS and LoRa 433 MHz alerting, MongoDB telemetry and a custom KiCad PCB 96% model accuracy; zero cloud dependency; Top 10 at PEC Hacks 4.0
Forklift Fleet Monitoring (Ashok Leyland) Battery health, charge cycles and GPS across a forklift fleet with predictive alerts 30+ forklifts; −40% downtime
End-of-Line Test Platform (Tivor) Configurable automotive ECU test platform with a hardware abstraction layer In progress

AI, ML & software

Project What it is Key results
B-Logic · patent published Blood group prediction from fingerprints with a MobileNet / EfficientNet-B0 / ResNet-50 ensemble, ESP32 capture unit, Flask and React 94% accuracy, all 8 ABO/Rh groups
RecoverAI AI agent that ranks failed payments by expected recovery, picks an intervention and passes it through guardrails Next.js, FastAPI, OpenAI, Razorpay (test mode)
RAG Knowledge Assistant (Playful Python) Retrieval-augmented generation over large document collections +35% retrieval precision
AgriOS (GIS & field data) FastAPI services for farm registration, field observations, pest traps and hotspot mapping Team project

➡️ Full case studies with diagrams and results: pranayviswaraj.github.io/projects


Patents & research

  • A Non-Invasive Biometric System for Blood Group Prediction Using Fingerprint Analysis and Adaptive Deep Learning: IN202641051215 A1, published 12 Jun 2026
  • An IoT-Enabled Intelligent System for Adaptive Irrigation and Rainwater Harvesting Using Machine Learning: IN202641051218 A1, published 12 Jun 2026
  • Smart-Wear: IoT-Enabled AI Healthcare System for Women and Geriatric Care: published
  • Paper presentations: AI-powered health bands, energy management, 5G to 6G, radar and sonar signal processing

Tech stack

VLSI & digital design Verilog Cadence Genus Quartus Prime ModelSim Icarus Verilog Verilator Yosys

Embedded & protocols ESP32 Embedded C CAN I2C SPI UART LoRa MQTT KiCad

AI / ML & software Python C++ TensorFlow Lite React Flask FastAPI MongoDB Firebase Docker Git


Achievements & leadership

  • National-level results: Smart India Hackathon 2025 (AICTE), national finalist · K-Hacks 2025 (CEG, Anna University), Special Track winner · PEC Hacks 4.0, Top 10 · IETE Convention, finalist
  • Hackathon wins & top finishes (10+): Hack-Erupt 2026 · Hack-Infinity 2025 · Make-a-thon 2025 · Hack-Elite 2024 · Elite-Com · Startup Surge
  • Leadership: Joint Secretary, ECE Association, SVCE · Web Developer, Science Club, SVCE

Certifications

VLSI Digital Design: Chip Design and Verilog Programming (Infosys Springboard) · Application-Driven Electronics & Embedded Technology with IoT (IITM Pravartak) · Oracle Agentic AI Foundations (Oracle University) · GenAI, LLMs, AI Agents & RAG (Yuva AI, MeitY) · Concepts of Cybersecurity (Microsoft) · Getting Started with Docker (Simplilearn)


Open to full-time opportunities in VLSI, embedded systems and IoT. Portfolio · LinkedIn · Email

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  1. PranayViswaraj PranayViswaraj Public

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  2. ARINC-429---Final-Year-Project ARINC-429---Final-Year-Project Public

    Verilog 2

  3. RecoverAI RecoverAI Public

    AI-powered revenue recovery agent that detects at-risk payments, predicts recovery probability, selects the right intervention, and recovers revenue through bounded, auditable workflows. Built to a…

    Python 2