Hi, I'm Mastan Shaik

Software Engineer with 10+ years in C++ development for automotive systems. Specializing in embedded software, ADAS features, and AI-driven engineering solutions.

About Me

Mastan Shaik

Software Engineer & Problem Solver

With over 10 years of professional experience in C++ development within the automotive industry, I've worked on complex systems across various organizational environments — from small agile teams to large enterprise setups.

My expertise spans embedded systems, real-time control software, and ADAS feature development. I'm particularly passionate about applying AI to real-world engineering problems and continuously expanding my technical leadership capabilities.

Currently focused on bridging the gap between traditional automotive software and modern AI-driven development workflows.

Current Focus

🎯 CAPM Certification

Preparing for Certified Associate in Project Management to strengthen technical leadership and project delivery capabilities. Building structured approaches to complex engineering projects.

🤖 AI + MCP Servers

Exploring Model Context Protocol (MCP) servers to integrate AI assistants effectively into development workflows. Focused on automating documentation, code review, and system analysis tasks.

🚗 ADAS & Autonomous Systems

Deepening expertise in Advanced Driver Assistance Systems, working with sensor fusion, computer vision, and safety-critical software architectures for next-generation vehicles.

Featured Projects

Lead Developer

ADAS Lane Detection System

Developed real-time lane detection and tracking algorithm for Level 2 autonomous driving features. Implemented sensor fusion between camera and LiDAR data for robust performance in varying weather conditions.

Key Achievement: Reduced false positive rate by 35% through advanced filtering algorithms.

C++ OpenCV Python ADAS
Software Architect

Automotive ECU Control Software

Designed and implemented embedded control software for engine management ECU. Developed real-time scheduling algorithms and diagnostic protocols compliant with AUTOSAR standards.

Key Achievement: Achieved ASIL-D safety rating through rigorous testing and code coverage analysis.

Embedded C AUTOSAR CAN Protocol Safety-Critical
Full Stack Developer

Vehicle Diagnostics Platform

Built comprehensive diagnostics and telemetry platform for fleet management. Created backend services for real-time data ingestion and web-based visualization dashboard for maintenance teams.

Key Achievement: Reduced diagnostic time by 60% through predictive maintenance algorithms.

C++ Python Cloud Data Analytics
AI Integration Lead

AI-Powered Code Review System

Developed internal tool leveraging LLMs to automate code review processes for automotive software. Integrated with existing CI/CD pipeline to catch potential bugs and compliance issues early.

Key Achievement: Reduced review cycle time by 40% while maintaining code quality standards.

Python Machine Learning DevOps Automation

Skills

🐍
Python
C++
🧠
Machine Learning
📋
JIRA
📝
Confluence
🔧
Polarion