---
title: "Priyansh Goyal - Software Engineer in Delhi | Tal"
description: "Meet Priyansh Goyal, ex-SDE Intern @Oracle | Amazon MLSS’25 | ex-SDE intern @Tech Mahindra | ex- SDE intern @Consumable AI | 700+ @leetcode | 1500+ @codeforces | final year CSE undergrad @DTU based in Delhi. AI stack includes antigravity and opencode. Explore public work links including github."
image: "https://tal.club/meet/priyansh-goyal/share-image"
---

# Priyansh Goyal on Tal

## Headline

ex\-SDE Intern @Oracle \| Amazon MLSS’25 \| ex\-SDE intern @Tech Mahindra \| ex\- SDE intern @Consumable AI \| 700\+ @leetcode \| 1500\+ @codeforces \| final year CSE undergrad @DTU

## About

Aspiring Software Engineer \| Computer Science Engineering Student at Delhi Technological University \(DTU\)\. Driven by a passion for coding, problem\-solving, and innovation, I am currently pursuing a B\.Tech in Computer Science Engineering from DTU\. I've honed my skills in software development, data analysis, and algorithms, with a proven track record in building impactful solutions\. I work on coding frameworks like C\+\+, Python, and Unity, I am continually solving problems on platforms like LeetCode and Codeforces, aiming to bridge theoretical knowledge with real\-world applications\.

## Location

Delhi

## AI stack

antigravity

opencode

## Work experience

Software Engineer at Oracle, Jan 2026 \- Jul 2026 · 7 mos, Bengaluru, Karnataka, India

Trainee at Amazon ML Summer School, Aug 2025 \- Aug 2025 · 1 mo

Software Developer Internship at Tech Mahindra, May 2025 \- Jul 2025 · 3 mos, Bengaluru, Karnataka, India, 1\) Built a real\-time data ingestion pipeline from edge nodes using scalable data processing frameworks to calculate ML monitoring metrics like data drift velocity and prediction stability, ensuring continuous model robustness\. 2\) Developed a custom interactive dashboard to visualize model health and distribution shifts, empowering stake\-holders to make data\-driven decisions and track analytics in real time\.

Software Development Intern at Consumable AI, Mar 2025 \- May 2025 · 3 mos, Jaipur, Rajasthan, India, 1\) Integrated Google Analytics API to track and analyze SEO metrics, and created a Gemini API workflow for automated blog summarisation, saving significant manual content curation hours\. 2\) Engineered a highly concurrent backend service to precompute keyword mappings and automate internal hyper\-linking, optimising content processing costs and improving site navigation\.

USIP intern at Delhi Technological University \(Formerly DCE\), Feb 2024 \- Apr 2024 · 3 mos, On\-site, ● Managed records of DTU since 2020 with the help of Merge sort algorithm\. ● Worked on notices to be published on DTU website\. ● Worked on Complex Macros and VLOOKUP in MS Excel for managing data\.

## Education

Bachelor of Technology \- BTech, Computer Science, Delhi Technological University \(Formerly DCE\)

Kulachi Hansraj Model School

## Public links

- github: https://github\.com/priyanshgoayl1

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

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