---
title: "Aman Kumar - Corporate Trainer in Ranchi | Tal"
description: "Meet Aman Kumar, -- based in Ranchi. AI stack includes cursor, gemini, and hugging face."
image: "https://tal.club/meet/aman-76/share-image"
---

# Aman Kumar on Tal

## Headline

\-\-

## Location

Ranchi

## AI stack

cursor

gemini

hugging face

openai

## Work experience

Corporate Trainer at Safety Circle India, Feb 2026 \- Mar 2026 · 2 mos, Chandigarh, India, Over the past few months, I’ve had the opportunity to work on something beyond just coding projects and building applications\. Under Safety Circle, I developed internal tools and conducted tech\-focused training sessions for 15\+ enterprise clients across India, where I presented to audiences filled with 2000\+ professionals at once, covering \- 1\. Emersion \(Pune\) 2\. Adani Connex \(Pune\) 3\. ITC Limited \(Pune\) 4\. JSW Energy Limited \(Ratnagiri\) 5\. Glaxo SmithKlin \(Patna\) 6\. Johnson &amp; Johnson \(Pune\) 7\. AMPIN Energy Utility One Pvt\. Ltd\. \(Bidar\) 8\. Crompton Greaves Consumer Electricals Limited \(Mumbai\) 9\. ADAMA India Private Limited \(Hyderabad\) 10\. CleanMax Enviro Energy Solution Ltd\. \(Amravati\) 11\. AMPIN Energy C&amp;I One Pvt\. Ltd\. \(Kottakudi\) and the list goes on and on\. Solving real\-world operational challenges through scalable systems, this experience pushed me far beyond my comfort zone\. It strengthened my skills in: • Leadership and public speaking • Problem\-solving under real\-time constraints • Building scalable and practical tech solutions \(Developing software for the company use case\) • Communicating technical ideas to diverse audiences What started as technical sessions gradually became opportunities to understand how technology impacts businesses at scale and how important clear communication is alongside engineering skills\. Grateful for every interaction, challenge, and learning experience throughout this journey

Data Scientist at Personifwy, Feb 2024 \- Feb 2024 · 1 mo, Bengaluru, Karnataka, India, ◦ Developed and deployed ML models for hate speech detection and spam SMS classification, improving text\-classification accuracy by 18%\. ◦ Built end\-to\-end feature engineering, model training, and evaluation pipelines using Python, Pandas, and Scikit\-learn\. ◦ Integrated ML models into a lightweight API using Flask, with deployment on AWS

## Education

Bachelor of Technology \- BTech, Computer Science, Lovely Professional University

[View the original profile](https://tal.club/meet/aman-76)

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