Headline

Computer Science Engineer | Building Expertise in AI & Data

About

I’m a Computer Science Engineer interested in AI engineering, data engineering, and backend systems, with a focus on building practical AI applications from end to end. I enjoy taking an idea from problem definition to a working system — designing the architecture, implementing it, debugging what breaks, and understanding the trade-offs behind the technology. Recently, I’ve been building hands-on projects around Retrieval-Augmented Generation (RAG), LLMs, vector databases, and asynchronous backend systems. I built AssistFlow AI, an AI-powered customer-support copilot using semantic retrieval, intent detection, Qdrant, and GPT-5. I also built RAGFlow, an asynchronous document retrieval system using FastAPI, Qdrant, RQ, and Valkey for background document processing. My current technical interests include Python, RAG, LLM applications, FastAPI, Qdrant, SQL, data engineering, and cloud technologies. I’m particularly interested in understanding how AI systems behave beyond the demo retrieval quality, latency, reliability, failure cases, and how to build systems that are actually useful. I’m early in my career, but I’m comfortable learning unfamiliar technologies by building with them, debugging problems, and iterating until I understand what I’m doing. Always building, learning, and shipping.

Location

Bengaluru

AI stack

codex

langchain

ollama

openai

huggingface

Qdrant

Work experience

Production Support Engineer at Previse Solutions, Jul 2026 - Present · 2 mo, Kerala, India

Convener at IIC PESCE, Dec 2024 - Jun 2026 · 1 yr 7 mos

Education

Computer Software Engineering, PES college of Engineering, Mandya

Public links

github: https://github.com/SuhasKartik