Ritesh Patel
Software Engineer
Building scalable web applications, robust backends, and intelligent systems.
About
I am a Software Engineer currently pursuing my B.Tech in Computer Science and Engineering at Thapar Institute of Engineering and Technology (TIET). My engineering philosophy is rooted in building systems that solve real problems, prioritizing robust architecture and clean, maintainable code.
I specialize in full-stack development and AI integrations. Whether it is designing a normalized relational database schema, implementing a complex multi-agent reasoning architecture, or crafting a highly responsive user interface, I approach every technical challenge with a product-first mindset.
Currently, I am heavily invested in scalable backend architectures, Generative AI applications (such as RAG pipelines), and performance optimization.
Technical Expertise
Languages
Strong foundation in systems programming and high-level scripting for rapid development and data processing.
Web & Backend
Building resilient REST APIs, microservices, and highly interactive, performant frontend applications.
AI & Data Science
Implementing machine learning models, semantic search engines, and multi-agent reasoning systems.
Databases & Tools
Managing relational databases, vector stores for AI, and utilizing modern DevOps and version control workflows.
Featured Projects
SynapseLearn
- Developing a local-first AI tutor using hierarchical memory, RAG, query routing, and multi-agent reasoning for personalized learning.
- Built a four-tier memory system for conversational, resource, and learner context across sessions.
- Implemented hierarchical RAG with dynamic retrieval planning and cross-encoder reranking for high-confidence evidence selection.
- Developed a LangGraph-based AI Council for task decomposition, parallel reasoning, and response synthesis.
Findora
- Built a semantic lost-and-found system using text and image embeddings to match differently worded descriptions and uploaded photos.
- Implemented cosine-similarity retrieval and weighted re-ranking across text-text, image-image, text-image, and image-text matches.
Flight Fare Prediction System
- Developed a machine learning regression model to predict airline ticket prices from historical flight data.
- Performed exploratory data analysis and feature engineering using parameters such as departure time, airline, and layovers.
- Used Random Forest for prediction and deployed the model through a Flask web interface.
Hospital Management System
- Built a database management system for patient records, doctor appointments, and billing processes.
- Designed a normalized relational database schema for data integrity and efficient retrieval.
- Developed a web-based interface using JavaScript, HTML, and CSS for hospital administration workflows.
Background & Education
B.Tech in Computer Science and Engineering
Thapar Institute of Engineering and Technology (TIET)
CGPA: 8.17 | Patiala, India
Relevant Coursework
Class XII
Goldengate International Secondary School
Score: 89.75% | Kathmandu, Nepal
Achievements
COMPEX Scholarship
Secured the competitive COMPEX Scholarship through the Indian Embassy for undergraduate studies.
Mahatma Gandhi Scholarship
Received the Mahatma Gandhi Scholarship from the Indian Embassy during Classes 11 and 12.
Let's build something.
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