Jeevan K L

Full-Stack Developer · AI/ML Student

B.Tech Computer Science & Engineering (AI/ML) · Rai Technology University

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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

Python · Java · SQL · C · JavaScript

AI / Machine Learning

Generative AI · RAG Systems · Vector Embeddings · Semantic Search · LLMs · Neural Networks · Computer Vision

Frameworks & Libraries

PyTorch · TensorFlow · Keras · Scikit-Learn · LangChain · OpenCV · NumPy · Pandas

Backend & Cloud

Java Spring Boot · Microservices · RESTful APIs · Oracle Cloud Infrastructure (OCI)

Developer Tools

Git · GitHub · VS Code · Jupyter Notebook · Postman

Web

React · HTML · CSS · Vite · Tailwind CSS

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.