Pranav S Salian

About Me!! I’m currently pursuing my studies at NMAM Institute of Technology and passionate about building AI-driven solutions that merge research with practical applications. My expertise spans AI/ML model development, fine-tuning, scalable deployment, backend engineering, and cloud infrastructure. I focus on building robust, efficient, and production-ready systems across the entire stack. 💡 AI & ML Expertise Hands-on experience with LLMs, CNNs, RNNs, Bi-RNNs ,GRU, LSTM-RNN GANs, DCGANs, multi Preceptron and others etc. Transformer architectures (encoder–decoder). Proficient in multi-head attention mechanisms, sequence modeling, and parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT). Skilled in Hugging Face, PyTorch, TensorFlow, and implementing end-to-end ML workflows: dataset preparation, model training, hyperparameter tuning, evaluation, and deployment. Practical experience includes building automation agents, research bots, and real-time AI pipelines. I’ve deployed models on AWS Lambda, SageMaker, S3, Azure ML, and GCP Vertex AI, focusing on scalability, latency optimization, and cost efficiency. 🧠 Backend & Security Engineering Strong in backend systems with Flask, FastAPI, Node.js, integrated with MongoDB, SQLite, Firebase. Implemented CORS, JWT, OAuth2 (Google/GitHub), API key management, session handling, and Stripe payments. Designed blockchain-based authentication and microservices architectures with robust fault tolerance and horizontal scalability. 🌐 UI & Integration Designed interfaces in Figma, converted to production-ready applications. Built frontends with React, Streamlit, and FlutterFlow, tightly integrated with secure backends. Leveraged Firebase Auth, Firestore, and Cloud Functions for user management and dynamic app functionality. ⚙️ DevOps & Cloud Infrastructure Experienced in containerization with Docker and orchestration via Kubernetes for scaling AI workloads. Automated CI/CD pipelines using Jenkins and GitHub Actions. Implemented monitoring, logging, observability, and automated testing to ensure production-grade reliability. Familiar with Azure App Services, GCP, Railway, Replit, and Firebase deployments, delivering seamless cross-cloud portability. 🚀 Projects & Initiatives Built AI-powered automation tools integrating NLP and computer vision. Developed backend-powered AI apps with advanced security and scaling. Deployed ML microservices on Kubernetes with full CI/CD automation. Created intelligent agents and bots for research and workflow automation. 📩 Let’s Connect → pranavssalian@gmail.com