HemansAI

Data & AI Consulting, Development, AI Leadership Training.

Founder

85% of AI products and projects fail.

The two biggest challenges businesses face with AI:

1. Estimating and demonstrating AI value [VPs, CEOs, product managers, and decision-makers]
2. Lack of talent and skills [AI engineers and data professionals]

Most business leaders fall into the first category.

Even if you’re skilled at your job, your team might lack confidence that the AI solution will deliver the desired outcomes.

It’s frustrating, right? You see others succeeding with AI, but your team your team is stuck planning, fixing, or juggling disconnected tools.

AI is supposed to bring automation, sharper insights, and smarter decisions.

But when you try to implement it, you encounter chaos:

- Lack of clarity on ROI
- Endless troubleshooting instead of progress estimation
- Too many disconnected systems to demonstrate AI value

It’s easy to wonder if AI will ever deliver what it promises for your business and career.

Now, imagine a future where AI doesn’t just work—it works seamlessly in your organization.

Your data isn’t just stored—it powers real-time insights, precise forecasts, and simplified processes.

Picture an AI strategy that works without constant troubleshooting—a setup that scales and brings results.

I’m an AI consultant, here’s how I can help you:

- the AI leadership coaching

It’s about creating an AI path that’s right for your business or your career with real results, not just ideas.

Let’s connect. we’ll talk about AI strategies, products, and career opportunities.
connect@himanshuramchandani.co

Himanshu Ramchandani

Sunrise Infotech

Data Engineer

Python Developer

Web Developer

Web Developer | Django | Python | Content Writer | Computer Science Engineer

A passionate Data Engineer with a solid background in software development, experienced in building full-stack web applications and now focused on developing robust data pipelines and scalable data platforms. Over the years, I’ve worked on a variety of real-world projects—ranging from backend APIs to cloud deployments—and have naturally transitioned into the world of data engineering to solve problems at scale using data.

Work & Experience:
* Developed an online food ordering system with QR code-based menu access, real-time order updates, and payment integration; currently extending this with data pipelines to analyze user behavior and sales trends.

* Created an email subscription system with automated campaign tracking and data storage, enhancing the ability to segment and analyze engagement metrics.

* Built and deployed a Django + React e-commerce platform with real-time product updates, 
authentication, and API-based payment handling.

* Deployed full-stack applications on AWS (EC2, S3, RDS) using Docker, Nginx, and Gunicorn—now repurposing this infrastructure for building ETL workflows and data lakes.

Key Expertise:
Data Engineering:
* Designing and managing ETL/ELT pipelines using Python and SQL

* Data processing with Pandas, NumPy, and scripting for automation

* Building and orchestrating workflows using Apache Airflow (or similar)

* Data integration from APIs, CSVs, databases, and cloud sources

* Managing structured and semi-structured data in PostgreSQL, MySQL, MongoDB

* Deploying data solutions on AWS (EC2, S3, Lambda, RDS)

🛠 Tech Stack Overview
Languages: Python, SQL, JavaScript
Backend: Django, FastAPI
Frontend: React, Tailwind CSS
Data Tools: Pandas, NumPy, Airflow, REST APIs
Databases: PostgreSQL, MySQL, MongoDB
Cloud & Deployment: AWS (EC2, RDS, S3, Lambda),AZURE, Docker, GitHub Actions, Vercel

taplio

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Himanshu Ramchandani

Vivek Warkade

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