SanehaSiddique-About

About

Hey! That’s me

I’m Saneha Siddique, a software engineer with experience across full-stack web development and machine learning. I enjoy turning ideas into reliable products and focusing on clean, scalable solutions that create real impact.

I began as a frontend developer, then moved into backend development to understand how complete web applications work. My exposure to machine learning and computer vision through challenging coursework introduced me to real-world data problems, from data cleaning and annotation to model training and evaluation.

Over time, I started integrating ML models into applications, exploring OCR, LLMs, and generative AI. Today, I focus on building intelligent systems using full-stack development, agentic AI, and automation tools like FastAPI and n8n.

Frontend

80%

Frontend

80%

Frontend

80%

Backend

90%

Backend

90%

Backend

90%

ML & CV

80%

ML & CV

80%

ML & CV

80%

n8n Automation

87%

n8n Automation

87%

n8n Automation

87%

GenAI & AgenticAI

70%

GenAI & AgenticAI

70%

GenAI & AgenticAI

70%

Process

My workflow is centered around being highly productive.

01.
Understand the Problem
I start by clarifying the goal, constraints, and real-world context to ensure I’m solving the right problem.
02.
Design the System
I plan the architecture, data flow, and technology stack—whether it’s a web app, ML pipeline, or AI-powered system.
03.
Build & Iterate
I implement the solution in small, testable steps, iterating based on results, feedback, and performance.
04.
Integrate & Deliver
I integrate models, APIs, and automation, then refine, deploy, and document the final solution for real-world use.

01.
Understand the Problem
I start by clarifying the goal, constraints, and real-world context to ensure I’m solving the right problem.
02.
Design the System
I plan the architecture, data flow, and technology stack—whether it’s a web app, ML pipeline, or AI-powered system.
03.
Build & Iterate
I implement the solution in small, testable steps, iterating based on results, feedback, and performance.
04.
Integrate & Deliver
I integrate models, APIs, and automation, then refine, deploy, and document the final solution for real-world use.

01.
Understand the Problem
I start by clarifying the goal, constraints, and real-world context to ensure I’m solving the right problem.
02.
Design the System
I plan the architecture, data flow, and technology stack—whether it’s a web app, ML pipeline, or AI-powered system.
03.
Build & Iterate
I implement the solution in small, testable steps, iterating based on results, feedback, and performance.
04.
Integrate & Deliver
I integrate models, APIs, and automation, then refine, deploy, and document the final solution for real-world use.