Final-year Computer Engineering (AI/ML Honors, CGPA: 9.778)
Embedded Systems | Backend & Full-Stack | AI/ML | Open Source Contributor
Visteon automotive embedded intern, HackAura hackathon winner, and builder of real-world, production-quality projects. Seeking full-time SDE roles in embedded, backend, or AI/ML domains.
Who I Am: Final-year Computer Engineering student (CGPA: 9.778) with automotive embedded systems experience at Visteon, specializing in production-quality software development.
Top 3 Projects to Review:
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Exoscope - NASA Space Apps hackathon project
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CrowdSense - Real-time disaster detection system
- Role: Full-stack developer (team of 4)- Built whole monolith website initially and then focused on backend only using Flask
- Tech: Python/Flask with NLP and anomaly detection
- Learning: Twitter API integration, real-time data processing
- 📂 Repository
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Visteon Internship - Automotive embedded systems
- Role: Testing intern in 7-person embedded team
- CI/CD: Monitored Jenkins reports, analyzed VectorCast/Klockwork static analysis
- Testing: Unit testing with 100% branch coverage on AUTOSAR modules
- Code Optimization: Identified and documented areas for code optimization in production ECU modules
- Tested 7 AUTOSAR modules using VectorCast and Klockwork
- MISRA-C and CERT C compliance enforcement
Key Strengths:
- 🚗 Automotive Embedded: AUTOSAR, CAN, UDS, MISRA-C, VectorCast (Visteon internship)
- 💻 Full-Stack: React, FastAPI, Flask, TypeScript (Primary project roles)
- 🤖 AI/ML: RAG implementation using Groq API (Exoscope project)
- 🧪 Testing: Unit testing with 100% coverage, static analysis (VectorCast/Klockwork)
- 👥 Collaboration: Contributed to 20+ friends' projects (backend/frontend roles)
- 🔧 CI/CD: Jenkins monitoring, learning Docker/GitHub Actions
- 🐛 Code Optimization: Identified areas for code optimization in production ECU modules
Looking For: Full-time SDE roles in embedded systems, backend, or AI/ML.
Quick Stats: 📊 400+ Commits | 🌟 9.778 CGPA | 🏆 Top 7/80+ HackIndia |📦 10+ Innovative projects | 💼 Automotive internship at Visteon | 🏆 HackAura Hackathon winner
💼 About Me and Contact Info (click to expand)
## 🚀 About MeSoftware developer with hands-on experience in automotive embedded systems (Visteon, 2025), full-stack web apps, and AI/ML. I build reliable, production-quality software from embedded C to modern web platforms.
Quick highlights:
- 🏆 Visteon automotive embedded systems intern: tested 7 AUTOSAR modules, achieved 100% branch coverage, identified areas for code optimization
- 🛠️ Strong in C/C++, Python, embedded, and full-stack
- 🏅 One hackathon win, multiple competitive programming competition wins, NPTEL certificates
- 🔍 Open to full-time SDE/embedded/backend/AI roles
Email: [email protected] LinkedIn: Profile GitHub: @JosephJonathanFernandes
💼 Experience (click to expand)
July 2025 – September 2025 | Automotive Embedded Systems
Transformed from Testing Intern to Valued Team Contributor in 8 Weeks
🚀 Key Achievements:
- Unit Testing Mastery: Achieved 100% test coverage (statements, branches, functions, pairs) for 7 AUTOSAR modules using VectorCAST
- MISRA Compliance: Analyzed 1000+ MISRA/CERT/Static warnings, achieved 99%+ deviation approval rate
- Code Quality: Proposed fixes for 5% of KW warnings in next production code, identified redundant code for optimization
- Customer Delivery: Completed unit testing for 4 critical files with 100% coverage for customer audit
- Team Support: Created comprehensive documentation and MS Teams chat with important resources to help team members understand Klocwork
🛠️ Tools & Technologies Mastered:
- Testing: VectorCAST (probes, CBA, debug macros, regression scripting)
- Static Analysis: Klocwork (warning analysis, deviations, server management)
- Version Control: Git, GitLab, WSL2, Ubuntu
- Project Management: JIRA (sprint planning, task tracking, subtasks)
- Automation: Python scripting for Excel analysis and workflow optimization
- Standards: AUTOSAR, MISRA-C, CERT-C, Static-C compliance
👥 Team Collaboration & Impact:
- Daily Scrums: Active participant in all sprint meetings and progress updates
- Code Reviews: Participated in 20+ team code review sessions
- Cross-Team Support: Assisted colleagues with VectorCAST and Klocwork challenges
- Knowledge Sharing: Created documentation and MS Teams resources to help team members
- Code Optimization: Identified and documented areas for code optimization in production ECU modules
📊 Quantifiable Results:
- ✅ 14 Modules: 100% test coverage (statements, branches, functions, pairs)
- ✅ 6+ Modules: 99%+ MISRA advisory warning deviation approval
- ✅ 500+ Warnings: Analyzed and documented (MISRA/CERT/Static)
- ✅ 4 Files: Completed unit testing for customer audit deliverables
- ✅ 20+ Reviews: Active participation in team code reviews
- ✅ Documentation: Created comprehensive guides and MS Teams resources
🎓 Skills Developed:
- AUTOSAR compliance and embedded systems testing
- MISRA-C/CERT-C/Static analysis standards
- VectorCAST unit testing framework mastery
- Klocwork static analysis and server management
- Agile/Scrum methodologies and JIRA workflows
- Git version control and Linux environments
- Python scripting for automation and analysis
- Technical documentation and team support
🛠️ Tech Stack (click to expand)
Expert: C, C++, Embedded C, Python, AUTOSAR, CAN, UDS, Linux Proficient: Flask, React, SQL, Docker, Git, VectorCast, Klockwork Familiar: Java, JavaScript, Bash, R, PHP, Dart, MeTTa, Streamlit, TailwindCSS, Bootstrap, Firebase Practices: MISRA-C, CERT C, Unit Testing, DSA, REST APIs, AI-Assisted Development
🌟 Pinned Projects (click to expand)
| Project | Tech | Description | Links |
|---|---|---|---|
| Exoscope | React, FastAPI, ML | NASA Space Apps hackathon winner. AI-powered exoplanet detection, RAG chatbot, live demo. Why it matters: Used by 100+ students. What I learned: ML pipeline, scalable web app, RAG integration. |
Live / FE / BE |
| AstroDesk | Python, Flask, NASA APIs | Real-time space data, multi-agent AI, 3D visualization. What I learned: API integration, async data, LLMs. |
Repo |
| EcoSort-AI | Python, Flask, PyTorch | AI waste segregation, gamified eco-points. What I learned: Model deployment, user engagement. |
Repo |
| CrowdSense | Python, Flask, spaCy | Real-time disaster detection from social media. What I learned: NLP, anomaly detection, Twilio API. |
Repo |
| Advanced Port Scanner | Python, Tkinter | Multi-threaded network scanner, GUI, export. What I learned: Threading, sockets, GUI. |
Repo |
| TaskExpert | Python, MeTTa, Graphs | Knowledge graph-based task scheduling. Achievement: Top 7/80+ at HackIndia. |
Repo |
📋 Featured Projects (click to expand)
AI-powered exoplanet detection platform
Full-stack platform with ML-based exoplanet detection, RAG-powered AI chatbot, interactive data visualization, and modern React UI.
Tech: React, TypeScript, Tailwind CSS, FastAPI, Machine Learning, RAG
Live Demo | Frontend | Backend
Space exploration platform with real-time NASA API integration
Features: Real-time NEO tracking, multi-agent AI story generation, 3D planetary visualization, ISS tracking, AI chatbot with streaming responses.
Tech: Python, Flask, Groq LLM, Skyfield, NASA APIs, Multi-agent AI
AI-powered waste segregation with gamification
Classifies waste into 6 categories with high accuracy, provides eco-harm scores and disposal recommendations, gamifies recycling with eco-points.
Tech: Python, Flask, PyTorch, HTML/CSS
Real-time disaster detection using social media analysis
Real-time tweet analysis, anomaly detection (Z-score/EWMA), NER for location extraction, interactive map visualization, SMS alerts via Twilio.
Tech: Python, Flask, spaCy, Twilio, SQLite, Leaflet, Anomaly Detection
Multi-threaded network security scanner with GUI
Features multi-threaded scanning, subnet scanning with CIDR support, banner grabbing, vulnerability checks, results visualization, and export options.
Tech: Python, Tkinter, Matplotlib, Socket Programming
Knowledge graph-based task scheduling system
Automated task scheduling with dependency management using graph-based representation. Achievement: Top 7 teams in Goa (80+ teams).
Tech: Python, MeTTa, Hyperon, AtomSpace, Knowledge Graphs
- 🥇 Multiple 1st place wins in debates, quizzes and coding competitions
- 🥇 HackAura 2025 – 1st Place Winner
- 🎯 HackIndia 2025 – Top 7 team (80+ teams in Goa)
- 💼 Visteon Corporation – Automotive embedded systems intern
- 📊 CodeChef: 1025 rating | HackerRank: C, Python, SQL, Java badges
- 📜 NPTEL Certifications: Python, Java, C++, DSA, Networking, Cloud Computing, Data Analytics, and more
- 🎤 Co-organized Technix Quiz – State-level technical quiz (2023 & 2025)
- Industry-Ready: Real-world embedded systems internship with production-level code quality (MISRA-C, CERT C, VectorCast)
- Full-Stack Versatility: From embedded C to modern web frameworks with strong DSA foundation
- Modern Practices: AI-assisted development, Git workflows, continuous learning mindset
- Proven Track Record: Internship, hackathon wins, 9.778 CGPA
📊 Fun Stats & Activity (click to expand)
Actively seeking full-time roles and internships in:
- 🚗 Automotive/Embedded Systems
- 💻 Backend/Full-Stack Development
- 🔧 Systems Programming
- 🤖 AI/ML Engineering