Hello, I'm
Final-year B.Tech in Computer Science and Technology (CST) student at NIST University passionate about building scalable applications, intelligent systems and impactful digital experiences. Bridging robust backend engineering with intuitive interfaces and applied artificial intelligence.
I am Ashirbad Pattnaik, a Computer Science and Technology (CST) student at NIST University, Berhampur (Expected Graduation: 2027). My core enthusiasm lies in architecting full-stack web platforms, engineered backend systems, and applied artificial intelligence solutions that solve real-world problems.
With hands-on experience spanning enterprise backend systems, data science pipelines, and competitive algorithmic problem solving, I enjoy transforming complex requirements into reliable, maintainable code. My technical focus encompasses modern frontend interfaces, high-performance REST APIs, relational and graph databases, and end-to-end containerized deployments.
Designing robust web architectures with Node.js, Express, FastAPI, J2EE, React, and Tailwind CSS. Implementing performant REST APIs, microservices, and secure authentication.
Engineering explainable clinical AI pipelines, Retrieval-Augmented Generation (RAG) LLM architectures, XGBoost classifiers, and NLP-driven document parsers.
Structuring relational schemas in SQL, MySQL, SQLite, and exploring graph knowledge representations with Neo4j alongside SQLAlchemy ORM data layers.
Containerizing services using Docker & Docker Compose, setting up automated CI/CD with GitHub Actions, and deploying scalable workloads to AWS and GCP environments.
Core languages utilized for software development, algorithmic computing, and scripting.
Server-side runtime environments, frameworks, and RESTful service engineering.
Predictive modeling, explainable AI, natural language processing, and LLM systems.
Modern user interfaces, cross-platform mobile frameworks, and accessible responsive styling.
Relational schema design, query optimization, graph models, and database management systems.
Containerization, CI/CD automation, cloud providers, and container orchestration.
Engineering workflow utilities, version control, IDEs, and API testing suites.
Foundational principles in software engineering, operating environments, and algorithms.
Explainable Clinical Decision Support Platform
Built a clinical decision-support platform using machine learning predictions and SHAP-based explainability. Integrated a RAG-based LLM component. Created a React and TypeScript frontend. Containerized multiple services using Docker Compose and implemented CI/CD using GitHub Actions.
Enterprise Access Control & Logistics Tracking
Designed REST API endpoints and relational data models to digitize and track material gate passes. Implemented authentication and role-based access control.
NLP & LLM-Powered Keyword Matcher
Built an NLP-powered application that analyzes resumes against job descriptions and identifies keyword and skill gaps.
Cross-Platform Social Media Application
Developed a cross-platform social media application with profiles, feeds and user interactions.
Privacy-First Health Database & Mobile App
Designed a privacy-focused database system and mobile health tracking application.
Review verified educational milestones, software internships at RINL & NIST, technical capabilities, and project portfolio.
Whether you have an internship, full-time position, technical inquiry, or potential collaboration, feel free to reach out directly through email, phone, or WhatsApp.