Sriraam Srinivasan

Entrepreneur | Machine Learning Engineer

24, pillaiyar koil street, 603002, Chengalpattu, India.

About

I am an entrepreneur, engineering student, and technology enthusiast driven by innovation, creativity, and continuous growth. I am passionate about transforming ideas into reality, exploring emerging technologies, and building meaningful business opportunities. Through my journey in engineering and entrepreneurship, I aim to combine technical knowledge with business thinking to develop innovative products, solve real-world problems, and create a lasting impact.

Work Experience

HASHES TECH

|

Founder

chengalpattu, Tamil Nadu, India

Jun 2024→ Present

Summary

Founder & Entrepreneur | HASHES TECH 3D LAB Founder of HASHES TECH 3D LAB, a 3D-printing business focused on customized products, creative designs, and innovative product development. Passionate about transforming ideas into physical products through 3D printing while managing product development, pricing, customer relationships, and digital brand promotion. Committed to combining technology, creativity, and entrepreneurial thinking to deliver unique solutions and build a growing business.

Education

SRM institute of science & technology

chengalpattu, Tamil Nadu, India

Aug 2026→ Present

Artificial intelligence

Languages

English

Fluent

Tamil

Native

German

Basic

Skills

Creative Problem-Solving

Programming Languages

Python, R, SQL, Java.

Machine Learning

Scikit-learn, TensorFlow, Keras, PyTorch.

Data Analysis

Pandas, NumPy, Matplotlib, Seaborn.

Cloud Platforms

AWS, Azure.

Tools

Git, Docker, Spark.

Methodologies

A/B Testing, Statistical Modeling, NLP.

Entrepreneurship & Business Management

3D Printing & Additive Manufacturing

Projects

Hand E Optics

Summary

ProjectsProject Title: HEO — Hand-Eye Optical Assistive Device Developed a project concept focused on supporting visually impaired individuals in navigating their surroundings more independently. The system aims to use optical sensing and assistive technology to help users detect nearby obstacles and receive appropriate alerts, improving environmental awareness and mobility. This project explores the application of engineering and emerging technologies to create practical, accessible solutions for people with visual impairments.