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
370+ Scrapers
Production web scrapers handling millions of data points with 99.9% uptime
300+ Pipelines
ETL/ELT data pipelines processing terabytes of data daily
BMW & Porsche
Enterprise APIs powering automotive platforms with sub-100ms response times
84.5% Coverage
Test coverage across microservices ensuring production reliability
20% Engagement
User engagement increase through AI-powered recommendation systems
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.
# 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
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.
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.
97% accuracy predicting optimal purchase timing
Sub-second inventory updates across 50+ sites
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.
Production RAG Systems
Optimizing Retrieval-Augmented Generation systems for enterprise scale with sub-second response times and high accuracy.
Lambda CI/CD
Automating serverless deployments with zero-downtime updates, automated testing, and cost optimization strategies.
ETL Reliability
Building fault-tolerant data pipelines with automated recovery, data quality checks, and performance monitoring.
Cost Optimization
Reducing cloud infrastructure costs by 40-60% through intelligent resource allocation and usage optimization.
API Performance
Optimizing API response times from seconds to milliseconds through caching, query optimization, and architecture improvements.
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.
FastAPI Serverless
High-performance serverless API framework with auto-scaling, monitoring, and deployment automation for enterprise workloads.
Technical Expertise
Full-stack capabilities with deep backend specialization
Backend
Data Eng
Cloud/DevOps
AI/ML
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.comAlternative Email
mosafdaralii@gmail.comPhone
+92 308 1120027Location
Lahore, Pakistan