Open to opportunities

RIYA KEDIA

@riyakedia

Message

Aspiring AI/ML engineer focused on building reliable RAG systems and scalable NLP solutions.

India

Message

What I'm looking for

I seek a role building production NLP/RAG systems or ML infrastructure in a collaborative team where I can apply model engineering, deployment, and research to deliver reliable, scalable solutions.

I am an AI/ML-focused computer science student with hands-on experience developing production-ready NLP and retrieval-augmented generation (RAG) systems, and building end-to-end ML solutions for real-world problems.

At C-DOT I developed a scalable RAG chatbot with custom guardrails and contributed AI/ML network analytics to optimize telecommunications infrastructure. My projects include full-stack deployments (FastAPI, Streamlit, React, Flask), containerization with Docker, CI/CD with Jenkins, and vector search using ChromaDB with SentenceTransformers.

I bring strong technical foundations in deep learning, NLP, and system deployment, a track record of improving model accuracy and reliability, and a collaborative mindset demonstrated through mentorship and competition success.

Experience

Work history, roles, and key accomplishments

Current

Research and Development Intern

Current

C-DOT, Ministry of Communications

Jul 2025 - Present (6 months)

Developed a scalable RAG chatbot in Python to deliver hallucination‑reduced answers from knowledge bases and built AI/ML network analytics solutions to optimize telecommunications performance monitoring.

Python RAG NLP Machine Learning ChromaDB Docker CI CD

Education

Degrees, certifications, and relevant coursework

NIIT University

Bachelor of Technology, Computer Science Engineering

Grade: 8.54 GPA

Activities and societies: Student Mentor for University Mentorship Program; Finalist at CBSE National-Level Science Exhibition; led/participated in multiple AI/ML and systems projects.

Pursuing a B.Tech in Computer Science Engineering with coursework in Deep Learning, NLP, Quantum Computing, Machine Learning, and Algorithms; cumulative GPA 8.54 (expected December 2025).