About | Shoaib Majid Dar

Hi, I'm Shoaib.

I'm a Full-Stack Developer and Data Scientist with a BE in Computer Science. I work across the whole stack: designing ML pipelines, building backend services, and shipping the interfaces that make them useful.

My recent focus: RAG systems with hybrid retrieval, LLM-powered automation, supervised fine-tuning and reinforcement-learning feedback workflows, computer vision, and real-time WebSocket APIs running on AWS data infrastructure. Day to day that means FastAPI, Flask, NestJS, Node, React, and Next.js, with PostgreSQL, MongoDB, and vector stores like Qdrant and Pinecone underneath.

I care about systems that hold up in production: clear interfaces, good observability, and evaluation loops that make the next iteration better than the last.

View my work Get in touch

A / Experience

Where I've worked

The projects in depth →

Jan 2025 – Present

Data Scientist

CodefyU

Building AI-powered product features and the data infrastructure behind them, from real-time quoting to field automation.

Worked on

Sep 2022 – Dec 2024

Data Scientist

Graphic Weave

Computer vision and LLM systems for industrial safety analysis, integrated into a multi-service product.

Worked on

P&ID Digitization Scenario Generator NL-to-SQL Agent SpiceDB ReBAC

B / Education

Where I studied

SSM College of Engineering

BE in Computer Science

Baramulla, J&K

C / Toolkit

What I work with

C.1

AI & Machine Learning

LLMs RAG Fine-tuning (SFT) RL Feedback Workflows Prompt Engineering Hybrid Search (BM25) Vector Search Computer Vision OCR NL-to-SQL Model Evaluation

C.2

Languages

Python TypeScript JavaScript SQL Java C / C++

C.3

Frameworks & ML Tooling

FastAPI Flask NestJS Node.js React Next.js LangChain PyTorch TensorFlow OpenCV YOLO ResNet ConvNeXt

C.4

Data & Storage

PostgreSQL MongoDB MySQL Qdrant Pinecone ChromaDB MinIO Amazon S3

C.5

Cloud, DevOps & Automation

AWS EC2 AWS RDS AWS Redshift AWS Budgets Docker Redis RabbitMQ WebSockets SpiceDB N8N Zapier Form.io AppSheet Airtable