Er. SAGAR PATEL
FULL-STACK DEVELOPER • ENGINEERING PORTFOLIO
0%
LOADING MODULES...SECURE CONNECTION
PORTFOLIO / 2026
// SYSTEM PROFILE

Er. SAGAR
PATEL.

A developer focused on creating clean interfaces, dependable software and practical digital systems. This portfolio is structured to showcase what I can build.

Patel Sagar
Er. SAGAR PATEL
DEVELOPER / BUILDER / PROBLEM SOLVER
OPEN TO OPPORTUNITIES

About.

A concise introduction. Your final personal information can be inserted here.

Patel Sagar
Hello, I'm Patel Sagar.
A passionate developer dedicated to creating clean, functional and scalable digital experiences.
ROLEFull-Stack Developer
LOCATIONIndia
FOCUSWeb • Software • AI
STATUSAvailable for opportunities

Expertise.

01 / FRONTEND

Modern Web Interfaces

02 / BACKEND

APIs & Databases

03 / SYSTEMS

Scalable Applications

04 / AI ENGINEERING

LLM, RAG & Agents

AI Engineer
Skills.

01 / CORE

Programming & Software

PythonOOPDSAGitLinuxREST APIs
02 / MACHINE LEARNING

ML Fundamentals

NumPyPandasScikit-learnFeature EngineeringModel Evaluation
03 / DEEP LEARNING

Neural Networks

PyTorchTensorFlowNeural NetworksTransformers
04 / GENAI

LLM Engineering

LLMsPrompt EngineeringEmbeddingsFine-tuningStructured Output
05 / RAG

Knowledge Systems

RAGVector DatabasesChunkingSemantic SearchReranking
06 / AGENTS

AI Agents & Tools

Tool CallingAgent WorkflowsFunction CallingMemoryGuardrails
07 / BACKEND

AI Application APIs

FastAPIFlaskPostgreSQLRedisAsync Python
08 / MLOPS

Production & Deployment

DockerCI/CDModel ServingMonitoringCloud
09 / QUALITY

AI Evaluation & Safety

LLM EvaluationObservabilityLatencyCost OptimizationSecurity
// AI ENGINEER ROADMAP

Build
Capability.

The learning order I recommend for becoming job-ready in AI engineering.

01

Python + Software Engineering

Become strong with Python, OOP, Git, Linux, APIs, testing and clean code.

FOUNDATION
02

Machine Learning

Learn data preparation, supervised learning, feature engineering, evaluation and model selection.

ML CORE
03

Deep Learning + Transformers

Study neural networks, PyTorch, attention, transformers and practical model training.

DEEP LEARNING
04

LLM + RAG Engineering

Build document Q&A, semantic search, embeddings, vector retrieval and grounded AI applications.

GENAI
05

Agents + Production AI

Build tool-using agents, APIs, evaluation pipelines, observability and deployable AI products.

PRODUCTION

Certifications.

We can replace these entries with your actual certificates and achievements.

2026

Certification / Achievement

Certificate title, issuing organization and a short description.

CREDENTIAL
2025

Professional Course

Course or certification details can be added here.

CERTIFICATE
2025

Additional Achievement

Competition, training, workshop or professional accomplishment.

ACHIEVEMENT
// 06 / CONTACT

Let's
connect.

Let’s connect and build something meaningful together.