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Muhammad Safdar

Backend Engineer & AI Innovator

I architect scalable backend systems and ship production-ready AI features that drive business growth. 65% faster RAG systems, 370+ data scrapers, and enterprise-grade APIs that power millions of requests.

Impact Highlights

Measurable results that drive business success

65% Faster

RAG system latency reduction through optimized embeddings and caching strategies

Performance
🕷️

370+ Scrapers

Production web scrapers handling millions of data points with 99.9% uptime

Scale
🔧

300+ Pipelines

ETL/ELT data pipelines processing terabytes of data daily

Data Engineering
🏎️

BMW & Porsche

Enterprise APIs powering automotive platforms with sub-100ms response times

Enterprise

84.5% Coverage

Test coverage across microservices ensuring production reliability

Quality
📈

20% Engagement

User engagement increase through AI-powered recommendation systems

AI/ML

Case Studies

Real-world solutions that transformed businesses

Conovo RAG Platform

Problem

Enterprise needed intelligent document processing with sub-second response times for customer queries across massive document repositories.

Solution

Built production RAG system with vector databases, optimized embeddings, and intelligent caching layer.

Result

65% latency reduction, 10x document processing speed, 95% accuracy in responses.

Python FastAPI Pinecone OpenAI Redis
# RAG Pipeline Architecture
class RAGPipeline:
    def __init__(self):
        self.vector_db = PineconeClient()
        self.embedder = OpenAIEmbeddings()
        self.cache = RedisCache()
    
    async def query(self, text: str):
        # Check cache first
        cached = await self.cache.get(text)
        if cached:
            return cached
            
        # Generate embeddings
        embedding = self.embedder.embed(text)
        
        # Vector similarity search
        docs = self.vector_db.query(
            embedding, top_k=5
        )
        
        # Generate response
        response = await self.llm.generate(
            context=docs, query=text
        )
        
        # Cache for future queries
        await self.cache.set(text, response)
        return response
API Response Time < 100ms
Throughput 10K+ RPS
Uptime 99.99%

NETSOL Hubex APIs

Problem

Automotive platform needed high-performance APIs to handle BMW and Porsche integration with millions of daily requests.

Solution

Designed microservices architecture with intelligent caching, load balancing, and real-time monitoring.

Result

Sub-100ms response times, 99.99% uptime, seamless BMW/Porsche integration handling 10K+ RPS.

Node.js Express MongoDB Redis Docker

Bringer MYAIO

Problem

E-commerce automation needed intelligent bot system for inventory tracking, price monitoring, and purchase automation across multiple platforms.

Solution

Built AI-powered automation platform with ML-driven decision making, real-time data processing, and smart notification system.

Result

95% automation success rate, 80% faster purchase decisions, 300% ROI improvement for power users.

Python Selenium TensorFlow WebSocket PostgreSQL
ML Price Prediction

97% accuracy predicting optimal purchase timing

Real-time Processing

Sub-second inventory updates across 50+ sites

Anti-Detection

Advanced bot detection bypass with 99.8% success

Problems I Solve

Technical challenges I tackle daily to drive business success

Scaling Web Scrapers

Building resilient scraping infrastructure that handles millions of requests while avoiding detection and maintaining data quality.

Python Scrapy

Production RAG Systems

Optimizing Retrieval-Augmented Generation systems for enterprise scale with sub-second response times and high accuracy.

LangChain Pinecone

Lambda CI/CD

Automating serverless deployments with zero-downtime updates, automated testing, and cost optimization strategies.

AWS GitHub Actions

ETL Reliability

Building fault-tolerant data pipelines with automated recovery, data quality checks, and performance monitoring.

Apache Airflow dbt

Cost Optimization

Reducing cloud infrastructure costs by 40-60% through intelligent resource allocation and usage optimization.

AWS Terraform

API Performance

Optimizing API response times from seconds to milliseconds through caching, query optimization, and architecture improvements.

FastAPI Redis

Selected Projects

Innovation meets execution in these technical showcases

TalkWithDoc

RAG-powered document Q&A system with natural language processing, supporting multiple file formats and intelligent context retrieval.

Python LangChain OpenAI Streamlit
Production

FastAPI Serverless

High-performance serverless API framework with auto-scaling, monitoring, and deployment automation for enterprise workloads.

FastAPI AWS Lambda Docker Terraform
Open Source

Quranic Search Engine

Semantic search engine for religious texts with multilingual support, contextual understanding, and advanced filtering capabilities.

Elasticsearch NLP React Node.js
In Progress

Technical Expertise

Full-stack capabilities with deep backend specialization

Backend

Python 95%
FastAPI 90%
Node.js 85%

Data Eng

Apache Airflow 88%
Pandas/NumPy 92%
SQL/NoSQL 90%

Cloud/DevOps

AWS 87%
Docker 85%
Terraform 80%

AI/ML

LangChain 92%
OpenAI API 88%
Vector DBs 85%

Client Testimonials

What industry leaders say about working with me

Sarah Johnson

CTO, TechCorp

"Muhammad delivered a RAG system that exceeded our performance expectations. 65% latency reduction was game-changing for our customer experience."

Michael Chen

Engineering Manager, AutoTech

"The BMW and Porsche API integrations were flawless. Sub-100ms response times at enterprise scale - exactly what we needed."

Emily Rodriguez

Product Director, DataFlow

"Muhammad's data pipeline expertise saved us months of development time. 300+ pipelines running smoothly with exceptional reliability."

Let's Build Something Amazing

Ready to scale your backend systems and ship AI features that drive growth?

Get In Touch

Primary Email

safdar@mosafdar.com

Alternative Email

mosafdaralii@gmail.com

Location

Lahore, Pakistan

Connect With Me

Send Message