🚀 Software Engineer | Cloud-Native & AI Enthusiast
📍 Dublin, Ireland
🎓 MSc Computing (Artificial Intelligence) @ Dublin City University
I’m a Software Engineer with strong foundations in cloud-native systems, container orchestration, and CI/CD pipelines.
Currently pursuing an MSc in Artificial Intelligence, I enjoy building scalable, production-ready systems and experimenting with Generative AI & MLOps.
I’m passionate about:
- ☁️ Cloud & Kubernetes-based architectures
- 🤖 Generative AI & Retrieval-Augmented Systems
- 🔧 Infrastructure Automation & DevOps
- 🌍 Open-source collaboration
- Python, JavaScript, Go, Java, Bash
- React, Node.js, Express, Django, Flask
- AWS (EKS, EC2, IAM)
- Docker, Kubernetes, Terraform
- Jenkins, Git, GitHub
- Kafka, Postman
- GANs (Conditional GANs, pix2pix)
- Retrieval-Augmented Generation (RAG)
- Vector Embeddings & Semantic Search
- TF-IDF, Cosine Similarity
- CI/CD Pipelines
- Infrastructure as Code (IaC)
- Microservices & REST APIs
- Linux Basics & Debugging
- Fine-tuned transformer-based models (GPT-2), improving text generation accuracy by 20%
- Used Stable Diffusion for image generation, enhancing visual quality by 25%
- Implemented Conditional GANs & RAG systems, improving creative and retrieval outputs by 30%
- Built reusable React components, reducing development effort
- Integrated REST APIs for frontend-backend communication
- Worked in Agile sprint cycles with regular stand-ups and feedback loops
Tech: MERN, AWS EKS, Terraform, Jenkins, Docker, ELK
- Designed a full CI/CD pipeline using Jenkins and Docker multi-stage builds
- Provisioned infrastructure using Terraform
- Deployed production workloads on Kubernetes (EKS)
Tech: Django, REST APIs, Docker, MySQL, RBAC
- Built a recipe-sharing & marketplace platform
- Implemented AJAX-based filtering and optimized workflows
- Enforced secure authentication and role-based access control
Tech: GANs, NLP, TF-IDF, Flask, Firebase, GCP
- Trained GANs on a 60k-item dataset to generate fashion images from text
- Improved semantic alignment using TF-IDF and cosine similarity
- Reduced convergence time by 25% via preprocessing optimizations
Tech: OpenCV, ResNet, CNN, Raspberry Pi, ERP
- Achieved 97% face recognition accuracy
- Reduced manual attendance errors by 85%
- Implemented AES-encrypted data storage for privacy compliance
- 📄 Published a research paper on GAN-based StyleScribe
- 🥈 First Runner-up – Hardware Hackathon (TSEC, 2023)
- 🏅 Consolation Prize – SFIT College Colloquium 2022
- 🏁 National-level competition wins in Drone Development & Go-Kart Design Challenges
- 📧 Email: parthmhatre6666@gmail.com
- 💼 LinkedIn: https://www.linkedin.com/in/parth-mhatre-060502mbd/
⭐ If you like my work, consider starring my repositories!