Hi, I'm Rudrika Panigrahi
Full-Stack Developer & AI/ML Engineer
I build scalable web applications and AI-powered systems — React frontends, FastAPI backends, vector databases, and multi-agent pipelines. Open to internships & full-time roles.
About Me
Full-Stack Developer & AI/ML Engineer pursuing B.Tech in Computer Science at KIIT University.
I build scalable web applications and intelligent AI systems at the intersection of modern engineering and machine learning. My expertise spans the full stack — from responsive React frontends to robust Node.js and FastAPI backends, with MongoDB for data persistence.
Beyond traditional full-stack development, I push boundaries with advanced AI technologies: LLM Agents, Retrieval-Augmented Generation (RAG), Natural Language Processing, and Vector Databases. My focus is on shipping production-ready systems that solve real-world problems.
Currently exploring the intersection of intelligent systems and practical products — where cutting-edge AI meets user-centric design.
Full Stack Development
Expertise in React.js, Node.js, Express.js, FastAPI, and MongoDB
AI/ML Engineer
Experience with LLM Agents, NLP, Scikit-learn, and Vector Databases
DevOps & Tools
Proficient with Docker Compose, Nginx, Git, GitHub Actions, and Linux
Team Collaboration
Strong foundation in collaborative software development and problem solving
Experience
My professional journey and key accomplishments
Senior Technical Executive
FED KIIT
- Developed C25 Campus Map, a production-ready interactive campus navigation system
- Integrated automated certificate distribution and QR-based attendance tracking systems
Summer Intern
ISRO (RO/SCOF)
- Developed and deployed a production web portal for IYD-2025 using Java and JSP
- Improved internal digital workflows and coordination across teams
Skills
My expertise and technical proficiencies
Languages
Frameworks
Databases
AI / ML
DevOps & Tools
Core Competencies
Projects
A selection of my personal and professional projects
Tourism Analytics Dashboard
Data engineering project processing tourism booking data with automated ETL pipeline, real-time analytics visualization, and insights into tourism trends. Features Kafka for streaming, Spark for processing, PostgreSQL for storage, Airflow for orchestration, and Streamlit with Plotly for interactive dashboards.
Twitter Sentiment Analyser
ML classifier (positive/negative/neutral) trained on Sentiment140 (1.6M tweets) with full NLP preprocessing pipeline; deployed as a real-time Streamlit web app.
Open Source Contributions
Projects I've contributed to in the open source community
Education
My academic background and qualifications
B.Tech, Computer Science
KIIT University, Bhubaneswar (2023 - 2027)
Pursuing a comprehensive computer science program with focus on software development, algorithms, data structures, AI/ML, and full-stack development. Active participation in technical clubs and projects.
Class XII, CBSE
DAV Public School, Berhampur (2021 - 2022)
Completed higher secondary education with focus on Science stream.
Class X, CBSE
DAV Public School, Berhampur (2019 - 2020)
Completed secondary education with strong academic foundation.
Certificates
Credentials and certifications that validate my technical learning journey
Supervised Machine Learning: Regression and Classification
DeepLearning.AI (Coursera)
Strategy and Game Theory for Management
IIMA - IIM Ahmedabad (Coursera)
Business Analytics for Decision Making
University of Colorado Boulder (Coursera)
Go for Gold Contest - Gold Level
Accenture iAspire
Get In Touch
Have a project in mind or want to discuss opportunities? I'd love to hear from you!