Transforming ideas into scalable intelligent software systems
Hi, I'm Nitheesh. I build production-ready AI/ML products with careful engineering and clean deployment.
About
I’m an Engineer focused on applied machine learning. I enjoy building end-to-end systems, spanning data pipelines, models, APIs, and the product layer. I focus on shipping production-ready systems, handling everything from optimizing vector retrieval to fine-tuning inference pipelines.
University of Maryland, Baltimore County
MS Information Systems
Aug 2024 – Expected May 2026
Kumaraguru College of Technology
B.Tech IT
Nov 2020 – Apr 2024
Experience
AI/ML & Computer Vision Intern
JawLogic LLC
AI/ML Intern
JawLogic LLC
Project Assistant, Computer Vision
SanjayLab (UMBC)
Product/Software Engineer
Quindl Technologies
Projects
Enterprise RAG Chatbot
Dec 2025 – Jan 2026FastAPI, Streamlit, PostgreSQL/pgvector, Docker, Ollama
Permission-aware RAG KB chatbot using FastAPI + Streamlit, with pgvector-based retrieval filtered by user access and grounded responses generated by Ollama, fully containerized via Docker Compose.
Support Ticket Auto-Triage Microservice
Dec 2025PyTorch, Transformers, FastAPI, Docker
An automated ticket classification system using NLP. Compares traditional machine learning (TF-IDF + SGD) against Deep Learning (DistilBERT) to route support tickets to the correct teams.
Skills
Core Stack
RAG + Vector Search
Retrieval pipelines with permissions and citations.
ML Systems
Reliable pipelines, deployment, and observability.
Cloud & Infrastructure
Perception systems from simulation to segmentation.
Collaboration
Shipping with modern tooling and clean workflows.