Jeevan K L
Full-Stack Developer · AI/ML Student
B.Tech Computer Science & Engineering (AI/ML) · Rai Technology University
Professional Summary
B.Tech Computer Science student specializing in Artificial Intelligence and Machine Learning, with hands-on experience developing Retrieval-Augmented Generation (RAG) pipelines, deep learning models and backend microservices. Proficient in Python, PyTorch, TensorFlow and cloud-based AI services, with a track record of building vector-based document retrieval systems and computer vision solutions. Seeking an AI/ML or Software Engineering internship to build scalable, production-ready intelligent applications.
Education
Bachelor of Technology (B.Tech) — Computer Science and Engineering (AI & ML)
Rai Technology University · Bengaluru, Karnataka · Expected Graduation: May 2028
Technical Skills
Languages
AI / Machine Learning
Frameworks & Libraries
Backend & Cloud
Developer Tools
Web
Technical Projects
DocPilot — RAG Document Intelligence System
Python · LangChain · NumPy · Vector Embeddings · Semantic Search
- Engineered an end-to-end RAG system enabling semantic question-answering across multi-format documents (PDF, Markdown, Text).
- Implemented token-aware text chunking and normalized vector embedding retrieval using cosine similarity, reducing contextual hallucination.
- Built citation-aware answer generation that traces responses back to exact source document sections, with offline evaluation of retrieval accuracy and response quality.
- Repository
Automatic License Plate Recognition System
Python · OpenCV · Computer Vision · Image Processing
- Developed a computer vision pipeline to localize and extract vehicle license plates under variable lighting conditions.
- Applied adaptive thresholding, edge detection and contour detection to boost region proposal accuracy.
- Repository
Deep Learning Handwritten Digit Classifier
TensorFlow · Keras · Python · Matplotlib
- Designed and trained a neural network on the MNIST dataset, evaluating performance using loss and accuracy trends.
- Conducted systematic hyperparameter experiments to analyse trade-offs in loss reduction and model convergence.
- Repository
Java Microservices Backend Architecture
Java · Spring Boot · Microservices · REST APIs · SQL
- Architected scalable RESTful microservices in Java Spring Boot, implementing structured data transport and endpoint handling.
Certifications
- Oracle Cloud Infrastructure (OCI) Data Science Professional — Oracle
- Oracle Cloud Infrastructure (OCI) AI Foundation Associate — Oracle
- Generative AI Fundamentals Specialization — IBM / Google Cloud / Coursera
Leadership & Co-Curriculars
- Sports & Event Coordinator, Rai Technology University — Coordinated planning and execution for university-wide athletic activities.
- Media Team Coordinator — Managed event photography and videography logistics for university technical symposiums and events.