Shiv Vyas - Senior Software Engineer & ML Architect

INTRODUCTION

About Me

Hello! I'm Shiv Vyas — an engineer and (as Barney Stinson would say) wait for it... a startup founder who learned the hard way that designing affordable vehicle security systems can be so secure, they even lock out success! 🛡️🚗

But every journey has its plot twists, and mine is filled with errors and ambition.

My passion lies in developing intelligent systems that make real-world impact. Whether I'm crafting AI models for defect detection or building IoT platforms connecting thousands of devices globally, I love solving complex problems at scale. When I'm not coding, you'll find me executing a Queen's Gambit in chess or pondering algorithms.

My two constants: Tea & Python ☕🐍

"Somewhere, something incredible is waiting to be known."
— Carl Sagan

If you're passionate about innovation, astrophysics, or enjoy the occasional startup war story, let's connect!

QUICK LIFELOG

Career Timeline

Aug 2022 – Present

Technical Architect Consultant

Johnson & Johnson (TCS)

Raritan, NJ

Jun 2021 – Feb 2022

Data Engineering - Research Assistant

Florida Institute of Technology

Melbourne, FL

May 2020 – Aug 2020

Software Engineering Intern

Renesas Electronics Americas

Palm Bay, FL

Jan 2017 – Jul 2019

Co-Founder

Scudo Systems

Ahmedabad, IND

Summer 2018

Innovation Intern

L&T Power

Vadodara, IND

WORK HISTORY

Professional Experience

Leading architecture, AI/ML development, and quality engineering for enterprise IoT platforms and digital surgery solutions.

Johnson & Johnson (via Tata Consultancy Services)

Technical Architect - IoT & AI/ML

Raritan, NJ

Aug 2022 – Present

Architected GxP-compliant IoT platform connecting 70+ catheter calibration systems across global sites. Replaced legacy systems with real-time edge/cloud pipelines, reducing workflow delays from 2 days to real-time.
Designed & deployed AI-based defect detection models (95% accuracy) for J&J Vision Labs contact lens inspection. Built complete data acquisition pipeline for image collection, preprocessing, and ML model deployment within existing infrastructure.
Lead QA for digital surgery platform with 100K+ LOC (Embedded C, Java, React, Python, Node.js). Own test automation across REST APIs, CI/CD pipelines, Azure IoT Hub, Event Hub, Kafka, edge devices, and Docker containers.
Built LSTM predictive maintenance models using time-series vibration sensor data with Fourier transformation. Reduced machine downtime by 40% across manufacturing sites, optimized for low-compute edge deployment.
Performed data gap analysis in Databricks processing 18M+ records from SQL databases, Azure Delta Lake & Blob Storage to identify data loss in 24×7 sensor streams across critical manufacturing environments.

Python PyTorch TensorFlow Azure IoT Databricks Kafka Docker Kubernetes React Node.js CI/CD Computer Vision LSTM

Florida Institute of Technology

Data Engineering - Research Assistant

Melbourne, FL

Jun 2021 – Feb 2022

Built platform for UN Sustainable Development Goals tracking, aggregating 1.5M+ socioeconomic data points from UN, IMF & World Bank APIs.
Developed full-stack analytics UI using Flask, Firebase, Python enabling efficient data analysis and visualization for policy makers and researchers.

Python Flask Firebase Data Pipelines ETL API Integration

Renesas Electronics Americas

Software Engineering Intern

Palm Bay, FL

May 2020 – Aug 2020

Led integration of 2 company acquisitions into Renesas' digital ecosystem through comprehensive gap analysis, programming, and testing of proprietary RORE platform.
Reduced order processing time by 40% and decreased employee training costs by 60% through automation and platform consolidation.
Consolidated data from Oracle, SAP & NetSuite using Model N, improving enterprise-wide collaboration and data consistency.

Java SQL Oracle SAP Process Automation

Scudo Systems LLP

Co-Founder & Technical Lead

Ahmedabad, India

Jan 2017 – Jul 2019

Designed affordable vehicle security system under $80, won 2017 Start-Up India Yatra among 2,200+ startups.
Raised INR 1.2M in funding to support product development and commercialization, successfully exited in 2019 retaining 5% equity.
Led end-to-end product development from prototyping to production, managing hardware/software integration and IoT connectivity.

IoT Embedded Systems Product Design Fundraising Team Leadership

TECHNICAL PROJECTS

Featured Work

Deep learning, computer vision, and NLP projects demonstrating expertise in cutting-edge AI/ML techniques.

DeepFake Detection System

Built deep learning pipeline using MTCNN, FaceNet, ResNet, and GoogLeNet for facial recognition and deepfake detection. Implemented multi-model ensemble achieving high accuracy on synthetic media detection.

Python OpenCV MTCNN ResNet PyTorch

View Code →

Multilingual NLI System

Natural Language Inferencing for 15 languages using Transformers, LSTM, Bi-LSTM, GRU, and fine-tuned BERT models. Achieved state-of-the-art performance on cross-lingual understanding tasks.

NLP BERT Transformers LSTM TensorFlow

View Code →

COVID-19 Detection from Medical Imaging

Multi-modal neural network analyzing both CT scans and X-rays for COVID-19 detection. Implemented ensemble approach combining multiple architectures for robust diagnosis.

Computer Vision CNN Medical Imaging Keras

View Code →

Runtime Assurance for Cyber Manufacturing

Anomaly detection system for G-Code analysis using Auto-Encoders, Isolation Forest, KNN, and One-Class SVM. Protects manufacturing processes from malicious code injections in real-time.

Time Series Auto-Encoders Anomaly Detection Scikit-learn

View Code →

EDUCATION

Academic Background

Master of Science in Computer Science

Florida Institute of Technology

Melbourne, Florida

Graduated: May 2021

Cumulative GPA: 3.7/4.0

Achievements:

Teaching Assistant: Programming in Python - taught Python programming & Linux to 100+ sophomores.
Semi-Automated Grading System: Reduced grading time by 60% & nearly eliminated human error by deploying automated grading scripts on the server; utilized Unix, Python & Bash.

Bachelor of Engineering in Computer Engineering

Gujarat Technological University

Gujarat, India

Graduated: July 2019

Cumulative GPA: 3.6/4.0

TECHNICAL EXPERTISE

Skills & Technologies

IoT & Edge Computing

Azure IoT Hub IoT Edge Event Hub Azure Functions Kafka MQTT Edge Devices IoT Analytics GxP Compliance Industrial IoT

Programming Languages

Python Java C/C++ JavaScript/TypeScript SQL Bash Embedded C

AI/ML & Data Science

PyTorch TensorFlow Keras Scikit-learn OpenCV Pandas Polars NLTK CUDA Computer Vision NLP LSTM/RNN/CNN Time Series FFmpeg

Cloud & Infrastructure

Azure Cloud Docker Kubernetes Databricks Delta Lake Blob Storage Azure SQL

Web Development

React Node.js Flask Streamlit HTML/CSS REST APIs TypeScript

DevOps & Testing

CI/CD Git Jenkins pytest Test Automation Agile/Scrum QA Leadership

Data Engineering

PySpark ETL/ELT SQL Databases Data Pipelines Plotly Matplotlib Firebase

Building scalable systems
at the intersection of
AI & infrastructure

About Me