Languages
Python · Java · SQL · C · JavaScript
Open to AI/ML & software engineering internships
I'm Jeevan K L, a B.Tech CSE (AI/ML) student shipping retrieval-augmented generation pipelines, deep learning models, backend microservices and full-stack web applications.
01 / About
I'm pursuing a B.Tech in Computer Science & Engineering with an AI/ML focus at Rai Technology University. I enjoy turning ideas into working products — from semantic document search and computer vision to backend services and responsive web interfaces.
My toolkit spans Python, Java, SQL, C and JavaScript, with applied experience in PyTorch, TensorFlow, Keras, Scikit-Learn, LangChain and OpenCV. I'm especially interested in generative AI, retrieval systems and software engineering where solid architecture meets a thoughtful interface.
02 / Skills
Fundamentals first, with an applied modern AI/ML and engineering stack.
Python · Java · SQL · C · JavaScript
Generative AI · RAG · Vector Embeddings · Semantic Search · LLMs · Neural Networks · Computer Vision
PyTorch · TensorFlow · Keras · Scikit-Learn · LangChain · OpenCV · NumPy · Pandas
Java Spring Boot · Microservices · RESTful APIs · Oracle Cloud Infrastructure (OCI)
React · HTML · CSS · Vite · Tailwind CSS · MERN
Git · GitHub · VS Code · Jupyter · Postman · DSA · OOP · Operating Systems
03 / Selected work
Selected from my GitHub — from retrieval-augmented generation and computer vision to backend services and production websites.
Generative AI · RAG · Python
A retrieval-augmented generation system for semantic question-answering across PDF, Markdown and text documents. Token-aware chunking and normalized vector embeddings with cosine similarity keep answers grounded, while citation-aware generation traces every response back to its exact source section — with offline evaluation of retrieval accuracy and response quality.
Computer Vision · Image Processing
Computer vision pipeline that localizes and extracts vehicle plates under variable lighting, applying adaptive thresholding, edge detection and contour detection to boost region-proposal accuracy.
Deep Learning
A neural network trained on the MNIST dataset with TensorFlow and Keras, evaluated through loss and accuracy trends plus systematic hyperparameter experiments analysing convergence trade-offs.
Backend · Java
Scalable RESTful microservices architected in Java Spring Boot, with structured data transport, SQL persistence and clean endpoint handling.
Data Analytics
End-to-end analysis of the Brazilian Olist e-commerce dataset covering sales trends, customer behaviour, geography, payments, reviews and seasonal patterns.
Web · Production
A live dermatology clinic website designed for responsive presentation, service discovery and patient-facing information.
Frontend · Healthcare
A modern responsive healthcare interface with structured content architecture, polished UI and smooth motion.
04 / Credentials
Industry certifications and campus leadership that sharpen how I build and collaborate.
Coordinated planning and execution for university-wide athletic activities at Rai Technology University.
Managed event photography and videography logistics for technical symposiums and campus events.
05 / Journey
2024 — 2028
Rai Technology University · Bengaluru, India
Building foundations across algorithms, operating systems, machine learning, deep learning, Java, Python and intelligent systems.
Hands-on development
Shipping practical applications across RAG, computer vision, deep learning, backend microservices, data analytics and full-stack web development.
Current focus
Deepening DSA, Java, Python, machine learning and modern AI application development while shipping projects through GitHub.
06 / Contact
I'm interested in AI/ML and software engineering internships and meaningful projects where I can learn fast and contribute.