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muhammedafsalpm/README.md

πŸ‘‹ MUHAMMED AFSAL P M

AI Engineer β€’ LLMs β€’ Generative AI β€’ Autonomous Agents

Profile Views Open to Work Collaboration

πŸ“ Kochi, Kerala, India β€’ πŸ“§ [email protected] β€’ πŸ’Ό LinkedIn
Designing and deploying production-grade AI systems β€” from LLM research & fine-tuning to scalable microservices.


πŸš€ About Me

AI Engineer specializing in LLMs, Generative AI, RAG systems, and Autonomous Multi-Agent architectures.
I build intelligent platforms powered by large language models, distributed systems, and high-performance inference pipelines.

My work spans BFSI, healthcare, compliance, HR tech, and enterprise automation, delivering scalable AI solutions that drive business value.

Key Capabilities:

  • LLM Engineering: Fine-tuning (LoRA, QLoRA), system-level prompting, model optimization
  • RAG Architectures: Hybrid search, multi-index retrieval, query optimization
  • Autonomous Agents: CrewAI orchestrations, LangChain workflows, multi-agent systems
  • MLOps & Deployment: End-to-end pipelines, FastAPI microservices, Docker/Kubernetes
  • Cloud Infrastructure: AWS (S3, Lambda, SageMaker), Azure ML, scalable architectures
  • Performance Optimization: High-throughput inference, latency reduction, cost optimization

⚑ Technical Expertise

AI & Machine Learning

LLMs & Generative AI: Fine-tuning, RAG systems, Prompt Engineering, Multi-Agent Systems
Classical ML: Supervised/Unsupervised Learning, Time Series, Computer Vision
Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, CrewAI, scikit-learn

Programming & Development

Languages: Python, SQL, Bash
Backend: FastAPI, REST APIs, Microservices, Async Programming
Databases: MongoDB, PostgreSQL, MySQL, SQLite, ChromaDB, Vector Databases

Cloud & DevOps

Cloud Platforms: AWS (S3, Lambda, EC2, SageMaker), Azure (ML Studio, Databricks)
Containerization: Docker, Docker Compose, Kubernetes, Helm
CI/CD: GitHub Actions, GitLab CI, Automated Testing, Deployment Pipelines
Infrastructure: RabbitMQ, Linux, Nginx, Load Balancing, Monitoring

Data Engineering & Visualization

Data Processing: ETL Pipelines, Data Warehousing, Big Data
Visualization: Power BI, Tableau, Plotly, Matplotlib, Seaborn
BI Tools: Dashboard Creation, KPI Tracking, Business Reporting


πŸ› οΈ Skills & Tools (Visual)

Programming & Databases

AI / Machine Learning / LLM

Cloud, DevOps & Backend

Data Visualization & BI


πŸŽ“ Certifications & Achievements

Certification Provider Year Credential
Azure Data Scientist Associate Microsoft 2024 DP-100
Azure Data Fundamentals Microsoft 2024 DP-900
Data Science Professional Certificate IBM 2023 Professional
Generative AI Fundamentals Databricks 2024 Specialization
Machine Learning Fundamentals Alteryx 2023 Certificate
Multimodal Llama 3.2 Meta 2024 Training

Publication

  • Smart Application for Visually Impaired People
    International Journal of Advanced Research in Innovative Ideas in Education (IJARIIE), 2023

πŸ† Featured Projects

Enterprise AI Solutions

  • Financial Compliance Agent: Multi-agent system for automated regulatory compliance using RAG and CrewAI
  • Healthcare RAG Platform: HIPAA-compliant medical knowledge retrieval with hybrid search
  • HR Automation Suite: LLM-powered recruitment, onboarding, and employee engagement platform
  • Real-time Fraud Detection: ML pipeline for financial transaction monitoring and anomaly detection

Open Source Contributions

  • LLM Optimization Tools: Contributed to model compression and inference optimization libraries
  • RAG Implementations: Developed and shared custom RAG architectures on GitHub
  • Agent Frameworks: Built reusable components for multi-agent orchestration

🌐 Connect with Me

πŸ“§ Primary Contact: [email protected] | πŸ’Ό Professional: LinkedIn Profile


⭐ Always open to collaboration in LLMs, RAG systems, Agentic AI, and AI Engineering.

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Β© 2025 Muhammed Afsal P M β€’ Last Updated: December 2025

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