user@terminal:~$ whoami
> Parth Chokhra
user@terminal:~$ cat profile.txt
                        > Role: Senior Machine Learning Engineer
                        > Experience: 4.5 years | ML Pipelines, GenAI, RAG Systems
                        > Location: Pune, India
                        > Status: Architecting scalable AI solutions in production
                    
user@terminal:~$ echo $SPECIALTY
> "Building production-grade ML systems | LangGraph | Azure ML | Real-time Recommendations"
user@terminal:~$ ls -l ~/links
user@terminal:~$ _
                    ┌─────────────────────────────────────────┐
                    │           ABOUT.README                  │
                    └─────────────────────────────────────────┘
                
user@terminal:~$ cat about.md
# About Me
                            Senior ML Engineer with 4.5 years of experience architecting
                            scalable Machine Learning pipelines, Generative AI systems, and
                            real-time Recommendation Engines. Currently at BlueAltair, I've
                            deployed production-grade AI solutions across pharma, media, and
                            e-commerce using LangGraph, Azure ML, and PySpark.
                        
# Key Achievements
                            • Built end-to-end ML pipeline on Azure for global drug safety
                            • Developed RAG systems with Azure OpenAI + LangGraph agents
                            • Engineered HIPAA/PII anonymization (100K+ records/week)
                            • Boosted user engagement by 30% with real-time ML pipeline
                            • Open source contributor to QuestGen (question generation)
                        
# Tech Stack
╔═══════════════════════════════════════════════╗ ║ [x] Python | PyTorch | Huggingface ║ ║ [x] LangChain | LangGraph | RAG Systems ║ ║ [x] Azure ML | Databricks | PySpark ║ ║ [x] FastAPI | Redis | Kafka | Vector DBs ║ ║ [x] BERT | LLMs | Real-time ML Pipelines ║ ╚═══════════════════════════════════════════════╝
# Writing & Sharing Knowledge
                            I write technical articles on Medium about ML systems, GenAI,
                            and production ML best practices. Passionate about breaking down
                            complex AI concepts and sharing real-world implementation insights.
                        
user@terminal:~$ _
                    ┌─────────────────────────────────────────┐
                    │           BLOG_POSTS.LOG                │
                    └─────────────────────────────────────────┘
                
user@terminal:~$ fetch-blogs --source=medium
> [....] Loading articles from medium.com/@parthplc
user@terminal:~$ _
                    ┌─────────────────────────────────────────┐
                    │           RESUME.PDF                    │
                    └─────────────────────────────────────────┘
                
user@terminal:~$ file Resume.pdf
> Resume.pdf: PDF document, version 1.4
user@terminal:~$ stat Resume.pdf
                        > File: Resume.pdf
                        > Size: Professional experience, skills, and qualifications
                        > Type: Portable Document Format
                        > Status: Ready for download
                    
    ╔══════════════════════════════╗
    ║                              ║
    ║         [  RESUME  ]         ║
    ║                              ║
    ║      ┌──────────────┐        ║
    ║      │   ╔═══════╗  │        ║
    ║      │   ║  PDF  ║  │        ║
    ║      │   ╚═══════╝  │        ║
    ║      └──────────────┘        ║
    ║                              ║
    ╚══════════════════════════════╝
                        
                    user@terminal:~$ wget Resume.pdf
user@terminal:~$ _
                    ┌─────────────────────────────────────────┐
                    │           CONTACT.SH                    │
                    └─────────────────────────────────────────┘
                
user@terminal:~$ ls -l ~/contact/
user@terminal:~$ ping medium
> 64 bytes from parthplc.medium.com: [Read Articles →]
user@terminal:~$ ping github
> 64 bytes from github.com/parthplc: [View Code →]
user@terminal:~$ ping linkedin
> 64 bytes from linkedin.com/in/parth-chokhra: [Connect →]
user@terminal:~$ ping email
> 64 bytes from parthplc@gmail.com: [Send Mail →]
user@terminal:~$ _