---
title: "Rohan Malhotra - Collaborator in Noida | Tal"
description: "Meet Rohan Malhotra, Rank 8 @Unstoppable E-School Leaders 26’ | Amazon MLSS ’25 | Summer Trainee @ Bharat Electronics | Campus Partner @ Perplexity AI | Published Writer (SRCC) based in Noida. AI stack includes claude code, codex, and gemini. Explore public work links including github and rohanmalh..."
image: "https://tal.club/meet/rohan-malhotra/share-image"
---

# Rohan Malhotra on Tal

## Headline

Rank 8 @Unstoppable E\-School Leaders 26’ \| Amazon MLSS ’25 \| Summer Trainee @ Bharat Electronics \| Campus Partner @ Perplexity AI \| Published Writer \(SRCC\)

## Location

Noida

## AI stack

claude code

codex

gemini

github copilot

## Work experience

Collaborator at Oppia Foundation, Mar 2026 \- May 2026 · 3 mos, Promoted to Collaborator and lead a project focused on Blog page and Rich Text Editor issues: \- Shipped 10\+ merged pull requests with major changes across validation logic, learner UX, localization behavior, and engineering quality\. \- Led fixes for high\-impact learner issues including incorrect helper text attachment, inconsistent division\-sign behavior across states, and unexpected answer\-input error messages\. \- Drove improvements in “Numbers with Units” interactions by addressing non\-English support gaps and removing currency\-only error assumptions\. \- Worked on schema\-validation reliability by making validators context\-aware and fixing decimal\-option mismatch failures\. \- Improved math interaction UX by addressing question\-mark rendering glitches, aligning LaTeX typography with surrounding text, and contributing to special\-character input usability\. \- Drafted a product proposal for automatic translation suggestions, including user stories, acceptance criteria, and workflow design using Notion and Figma\. \- Improved release confidence through flaky\-test stress testing, regression validation, and contributor\-facing technical documentation\.

Contributor at Oppia Foundation, Jan 2026 \- May 2026 · 5 mos, Contributed 5\+ merged pull requests focused on bug fixes, UI consistency, and codebase cleanup\. \- Fixed a pagination bug where users saw unclear page information \(for example, “Page 1 of many”\) by aligning frontend behavior with backend page\-count data\. \- Improved multilingual experience by resolving RTL layout and formatting inconsistencies, especially in Arabic flows\. \- Strengthened Rich Text Editor reliability by improving error handling for invalid SVG image uploads\. \- Collaborated with maintainers through review cycles to ship production\-ready fixes with clear documentation\.

Trainee at Bharat Electronics Limited, Jun 2025 \- Jul 2025 · 2 mos, Ghaziabad, Uttar Pradesh, India, Project: CCTV Accident Detection Using YOLO Worked on developing a real\-time accident detection system using computer vision techniques\. Leveraged the YOLO \(You Only Look Once\) deep learning model to detect vehicles and identify collision events from CCTV footage\. The system was designed to automate incident detection and send alerts to relevant authorities, enhancing road safety and reducing emergency response times\.

Member at Economics Club TIET, Sep 2024 \- Mar 2025 · 7 mos, Patiala, Punjab, India

Member at AIESEC, Nov 2023 \- May 2024 · 7 mos, Patiala, Punjab, India

## Education

Bachelor of Engineering \- BE, Computer Engineering, Thapar Institute of Engineering & Technology

Senior Secondary School Certification, Ahlcon Public School

## Public links

- github: https://github\.com/rohanmalhotracodes
- rohanmalhotracodes\.github\.io: https://rohanmalhotracodes\.github\.io/

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

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