CV
Basics
- Name
- Mann Malviya
- Label
- Student
- Location
- Cupertino, CA
- mmalviya@ucsc.edu
- https://www.linkedin.com/in/mann-malviya-610765274/
Work
- Software Engineering Intern2025.06 – 2025.09
Chelsio Communications
- Developed a production-ready Retrieval-Augmented Generation (RAG) chatbot using local open-source models to provide intelligent and contextual responses based on the company's internal documents and code base.
- Conducted testing and fine-tuning to ensure high accuracy and alignment with company knowledge, resulting in a scalable and user-friendly chatbot solution.
- Group Tutor2024.09 – 2024.12
Baskin School of Engineering
Group Tutor for CSE 12 (Computer Systems and Assembly Language and Lab)
- Tutored digital logic/design, number systems, boolean algebra, RISC-V assembly & architecture.
- Assisted students with lab assignments, helping them troubleshoot issues, understand key concepts, and develop problem-solving skills in digital hardware and assembly language.
Education
- Undergraduate2022 – 2026
University of California Santa Cruz
Computer Science B.S. · Santa Cruz, California
- CSE244B: Machine Learning for Natural Language Processing
- CSE143: Natural Language Processing
- CSE142: Machine Learning
- CSE140: Artificial Intelligence
- STAT131: Introduction to Probability Theory
Awards
- Dean's HonorsSpring 2023
Skills
Programming Languages
- Python
- C
- C++
- Shell Scripting
Systems & Low-Level Computing
- Operating Systems
- Computer Architecture
- Memory Management
- Concurrency & Synchronization
Machine Learning Foundations
- Keras
- TensorFlow
- PyTorch
- Scikit-learn
- NumPy
- Pandas
AI & LLM Systems
- Retrieval-Augmented Generation (RAG)
- LangChain
- LlamaIndex
- Vector Databases (FAISS, Pinecone, Chroma)
Backend & Infrastructure
- FastAPI
- REST APIs
- Supabase
Tools & Workflow
- Git
- GitHub
- CI/CD
- Linux
- LaTeX
- Overleaf
Languages
English
Fluent
Hindi
Native speaker
Interests
Theoretical Computer Science
- Algorithm Analysis
- Computational & Complexity Theory
Machine Learning & AI Systems
- Machine Learning Fundamentals
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agent Workflows
Embedded & Systems Programming
- C Programming
- Operating Systems
- Computer Architecture
- Concurrency & Synchronization
Projects
- CodeCompass2025.10 – 2025.12
Built CodeCompass, a GraphRAG-based retrieval system with backend APIs for document ingestion, indexing, and query orchestration.
- Designed and implemented a GraphRAG-based retrieval pipeline.
- Built backend APIs for document ingestion, indexing, and query orchestration.
- Integrated vector search with structured graph-based retrieval.
- Focused on modular, scalable backend architecture.
- RAG Chat Bot2025.08 – 2025.09
Developed an AI-powered chatbot for internal company knowledge retrieval as part of my internship.
- Implemented a RAG pipeline using Byaldi and optimized retrieval with ColBERT and query rewriting.
- Built full-stack backend and frontend with Supabase, integrating authentication and multi-user access.
- Enabled employees to efficiently query documentation and Bugzilla tickets through the chatbot interface.