Paul Jose
M.Tech in Computer Science & Engineering | AI/ML & Networking Specialist
I'm Paul Jose, a Computer Science Engineer and an M.Tech candidate at Mar Athanasius College of Engineering, where I specialize in Advanced AI, Deep Learning, and Network Systems. My journey through technology has been deeply shaped by both research innovation and real-world industry exposure.

Driven by curiosity and a commitment to purposeful engineering, I’ve developed and contributed to projects ranging from EEG-based brain signal classification, QoS optimization in SD-WAN, to smart farming applications and system-call filtering frameworks—each blending the depth of theory with hands-on practicality. My work in areas like Bayesian Deep Learning, PPO-based optimization for O-RAN, and Bloom filter-enhanced databases reflects a keen interest in solving scalable and critical problems.

During my tenure as an apprentice at AT&T Communications India, I gained valuable insight into advanced networking technologies—working on protocols like OSPF, BGP, and VLANs—while sharpening my problem-solving in live environments. This industry exposure complements my academic grounding and fuels my long-term ambition: to build intelligent, reliable, and autonomous systems that operate seamlessly across machine learning and network domains.

Beyond the tech stack, I’m a lifelong learner with a love for travel, hiking, and multilingual communication (English, Malayalam, Tamil). I believe in staying flexible, grounded, and constantly adapting—whether it’s through contributing to research, exploring open-source communities, or attending AI summits and hands-on workshops like the Google AI Builders Lab and Prompt Engineering sessions.

Currently, I’m on the lookout for research-driven AI/ML internships that align with my passion for building interpretable, robust, and scalable intelligent systems.
pauljose.personal@gmail.com +91 7306982921 LinkedIn GitHub Download Resume (PDF)

Education

Degree Institute Duration CGPA Key Focus
M.Tech, CSE Mar Athanasius College of Engineering, Kerala Sept 2024—Sept 2026 8.29/10 AI/ML, Advanced DBMS, Networks
B.Tech, CSE APJ Abdul Kalam Technological University, Kerala Aug 2018—Aug 2022 7.43/10 Data Science, Cryptography, OOP

Experience

Research Intern
NIT-Trichy, June–Aug 2025
  • EEG signal classification for depression detection with CNN & LSTM.
  • Enhanced classification accuracy and model robustness for real-world EEG datasets.
Apprentice Network Engineer
AT&T Communications, Nov 2022–Nov 2023
  • Managed enterprise network devices over SSH/Unix.
  • Automated logging/configuration with shell & Python scripts.
  • Supported L3/L2 segmentation: BGP, OSPF, VLAN.

Key Projects

Adaptive Handover Optimization in Open RAN
TensorFlow, LSTM, Edge
  • ML-driven handover for 5G; deployed at edge with 87% model compression.
Bayesian Deep Learning with EM-TDAMP
TensorFlow, Uncertainty, TFLite
  • Quantized MLP for edge telecom safety (92.77% accuracy, 50% storage cut).
Student Performance Prediction
scikit-learn, SVM, K-Means
  • Dropout prediction for 10,000 students (98.69% accuracy), using K-Means, SVM, SMOTE.
CCTV Deployment Optimization
Python, PyQt5, ILP
  • ILP-based urban camera placement tool with 28.6% cost reduction.

Technical Skills

Programming
Python Java C SQL Shell Scripting
AI/ML
CNN RNN LSTM scikit-learn TensorFlow PyTorch TFLite SMOTE Random Forest K-Means Uncertainty Estimation Bayesian Learning
Networking
BGP OSPF VLAN Network Automation Edge AI Linux Docker
Other Tools
PyQt5 OpenCV Git ILP Cybersecurity Data Analysis OOP DBMS

🚀 Building the future where AI meets Networks.

  • 🤖 AI for Good: I design intelligent systems that empower people, enhance well-being, and solve real-world challenges.
  • 🌐 Network Innovation: From 5G edge to cloud, I bridge research and deployment for resilient, scalable connectivity.
  • 🧠 Curiosity-Driven: I thrive on learning, experimenting, and collaborating across disciplines—always pushing boundaries.
  • 🌱 Ethics & Impact: Committed to responsible AI, open science, and mentoring the next generation of engineers.
Let’s create technology that matters—together.
🤝 Connect with Paul

Interested in collaborating, discussing research, or just want to say hello? I’m always open to new opportunities, technical discussions, and networking with fellow professionals and researchers in AI, ML, and networking.

  • Available for research collaborations, consulting, and speaking engagements.
  • Happy to mentor students and early-career engineers in AI/ML and networking.
  • Let’s connect to build innovative, ethical, and scalable tech solutions together!
📧Email 🔗LinkedIn 💻GitHub
🌏 Based in Kerala, India — Open to remote and global opportunities.