CV
Basics
| Name | Mann Malviya |
| Label | Student |
| mmalviya@ucsc.edu | |
| Location | Cupertino, CA |
| Url | https://www.linkedin.com/in/mann-malviya-610765274/ |
Work
-
2025.06 - 2025.09 Software Engineering Intern
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.
-
2024.09 - 2024.12 Group Tutor
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 & ideas, and develop problem-solving skills in digital hardware and assembly language.
Education
-
2022 - 2026 Santa Cruz, California
Undergraduate
University of California Santa Cruz
Computer Science b.s.
- CSE244B: Machine Learning for Natural Language Processing
- CSE142: Machine Learning
- CSE140: Artificial Intelligence
- STAT131: Introduction to Probability Theory
Awards
- Spring 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
- 2025.10 - 2025.12
CodeCompass
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
- 2025.08 - 2025.09
RAG Chat Bot
Developed an AI-powered chatbot for internal company knowledge retrieval as part of my internship.
- Implemented a Retrieval-Augmented Generation (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