MA

Muhammad Adil Usmani

AI/ML Developer

Building intelligent systems that solve real-world problems through data-driven insights and innovative algorithms. Specializing in machine learning, natural language processing, and production-ready AI applications.

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Technical Expertise

Mastering cutting-edge technologies to build intelligent solutions

Languages
🐍Python
95%
Primary language for ML/AI development
πŸ—„οΈSQL
85%
Database queries and data analysis
Backend & APIs
⚑FastAPI
88%
High-performance web APIs
πŸ”—LangChain
85%
LLM application framework
πŸ•ΈοΈLangGraph
82%
Graph-based LLM workflows
πŸ”LangSmith
80%
LLM observability and debugging
🌐REST APIs
87%
RESTful API design and development
βš™οΈAsync Programming
83%
Asynchronous programming patterns
AI/ML & Advanced Techniques
πŸ”„RAG Pipelines
88%
Retrieval-Augmented Generation systems
πŸ€–LLM Applications
87%
Building with large language models
πŸ“ŠEmbeddings
85%
Vector embeddings and representations
πŸ”Retrieval Systems
86%
Information retrieval and search
πŸ’‘Prompt Engineering
85%
Effective prompt design strategies
🧠Deep Learning
82%
Neural networks and deep architectures
πŸ“ˆTime-Series Forecasting
80%
Temporal data prediction
πŸ”€Hybrid Retrieval
84%
Combined vector and graph retrieval
πŸ“ŠEvaluation Benchmarks
83%
LLM evaluation and benchmarking
Databases
πŸ’ΎSQLite
85%
Lightweight SQL database
πŸ”ChromaDB
84%
Vector database for embeddings
πŸ“ŠNeo4j
82%
Graph database for relationships
Libraries & Frameworks
🐼Pandas
92%
Data manipulation and analysis
πŸ”’NumPy
90%
Numerical computing
πŸ“ˆMatplotlib
86%
Data visualization
πŸ”₯PyTorch
85%
Deep learning framework
⚑TensorFlow
83%
ML and deep learning platform
🧠Scikit-Learn
88%
Machine learning algorithms
Tools & Infrastructure
πŸ™GitHub
90%
Version control and collaboration
🐳Docker
85%
Container orchestration
βš™οΈGitHub Actions
84%
CI/CD automation
πŸš€Render
83%
Cloud deployment platform
β–²Vercel
87%
Frontend deployment platform
☁️Azure
78%
Microsoft cloud services
🌐GCP
75%
Google Cloud Platform
✨GitHub Copilot
82%
AI code assistant
🎯Gemini CLI
80%
AI command line tools
πŸ“šDeepwiki
80%
Project documentation platform
πŸ”„Airflow
78%
Workflow orchestration

Featured Projects

Showcasing production-ready applications and innovative solutions

Featured Projects

Featured
AeroSphere β€” Air Quality Forecasting System
Built LSTM model forecasting 72-hour PM2.5 across 45 cities achieving 85%+ accuracy, 30% above baseline. Designed Airflow pipeline processing 1.2M+ records with GPT-based natural language summaries for public air quality reports. Contributed to model training, batch scheduling, and end-to-end Azure cloud deployment.
NASA TEMPO
LSTM
Airflow
Azure
GPT
85%+
accuracy
45
cities
Featured
Hybrid Graph RAG vs Vector RAG
Comparative analysis of hybrid retrieval from ChromaDB and Neo4j over SEC 10-K filings. Applied late fusion to merge vector and graph contexts for improved structured financial reasoning. Built 53-question benchmark evaluating accuracy, comprehensiveness, diversity, empowerment, and directness metrics.
ChromaDB
Neo4j
Azure OpenAI
LLM-as-Judge
Hybrid RAG
53 Q&As
benchmark
Outperforms
accuracy
Featured
Corrective RAG (CRAG)
Adaptive self-correcting RAG pipeline with threshold-based routing. Routes CORRECT answers (β‰₯0.7) directly, triggers Tavily web search for INCORRECT (<0.3), and runs parallel operations for AMBIGUOUS responses. Optimized for 3-6s latency on direct retrievals and 5-8s with web-augmented answers over geopolitical documents.
LangGraph
FAISS
Tavily Search
GPT-4o-mini
RAG
3-8s
latency
95%+
accuracy

Other Projects

CricTalk
Production-ready cricket knowledge chatbot API with 6 specialized expertise domains. Features enterprise-grade security, API key authentication, rate limiting, and Redis-backed caching.
FastAPI
Google Gemini AI
Redis
LangChain
Security
95%
accuracy
99.9%
uptime
Article Summarization
NLP model using transformer architecture to generate concise summaries of long-form articles with 85% accuracy using T5 small transformer model.
NLP
Transformers
Python
T5
85%
accuracy
10K+
articles
Customer Churn Predictor
ML model predicting customer churn with 92% accuracy using ensemble methods and feature engineering.
ML
Random Forest
Python
92%
accuracy
Predictions
predictions
Stock Price Prediction
LSTM neural networks predicting stock prices using historical data and technical indicators.
Deep Learning
LSTM
TensorFlow
78%
accuracy
Predictions
predictions

Get In Touch

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