#!/usr/bin/env python3
# ββββββββββββββββββββββββββββββββββββββββββββββ
class PiyushPathak:
def __init__(self):
self.name = "Piyush Pathak"
self.role = "Generative AI Manager"
self.experience = "9+ Years"
self.location = "π Gurgaon, India"
self.timezone = "IST (UTC +5:30)"
@property
def expertise(self):
return {
"GenAI" : ["LLMs", "RAG", "Agentic AI", "Fine-Tuning"],
"ML / DL" : ["Deep Learning", "AutoML", "MLOps"],
"NLP" : ["Transformers", "NER", "Summarization"],
"CV" : ["Object Detection", "Segmentation"],
"Data" : ["Analytics", "BI", "Predictive Models"],
}
@property
def stack(self):
return ["Python", "TensorFlow", "PyTorch", "LangChain",
"OpenAI", "HuggingFace", "FastAPI", "Docker",
"MySQL", "Tableau", "Power BI", "AWS"]
def mission(self):
return "β‘ Research β Production AI at Fortune 500 Scale"
# ββββββββββββββββββββββββββββββββββββββββββββββ
me = PiyushPathak()
print(me.mission())
# β‘ Research β Production AI at Fortune 500 Scale|
π€ Β Core AI Β· ML Β· Deep Learning | |
|
𧬠 Generative AI · LLMs · Vector DBs | |
|
π Β Data Science Β· Analytics Β· BI | |
|
βοΈ Β Cloud Β· MLOps Β· Infrastructure |
|
|
|
|
β‘ Enable the snake animation β see SETUP.md for the 2-minute GitHub Actions setup
π’ Β Generative AI Manager β Enterprise AI Leadership Β βΈ click to expand
# βββββββββββββββββββββββββββββββββββββββββββββ
role : Generative AI Manager
experience : 9+ Years
domain : AI Β· Data Science Β· GenAI Β· LLMs
client_type : Global Fortune 500 Organisations
location : Gurgaon, India
# βββββββββββββββββββββββββββββββββββββββββββββπ· Key Responsibilities
| Area | Deliverables |
|---|---|
| π§ AI Architecture | End-to-end GenAI solution design for Fortune 500 |
| π€ LLM Systems | RAG pipelines, Agentic AI, fine-tuned LLMs |
| βοΈ MLOps | Scalable ML pipelines β ingestion β production serving |
| π₯ Leadership | Data science team management & cross-functional AI delivery |
| π Analytics | Descriptive Β· Predictive Β· Prescriptive analytics at scale |
| π‘ Strategy | Business β AI problem translation & roadmapping |
π οΈ Core Technologies
Python TensorFlow PyTorch LangChain OpenAI Flask FastAPI MySQL Tableau Power BI AWS Docker Web Scraping
| ποΈ Repository Domain | π― What It Covers | π Significance |
|---|---|---|
| 500+ AI/ML/DL/CV/NLP | Every AI subdomain with code | Global reference resource |
| AutoML Frameworks | Full pipeline automation | 10Γ faster model building |
| Model Deployment | TF Serving Β· MLflow Β· Cortex Β· SageMaker | Lab β Production bridge |
| NLP Projects | Transformers Β· NER Β· Summarization | Practical NLP library |
| AI Algorithms | Classical β neural architectures | Algorithm implementation ref |




