---
title: "Priyansh Aggarwal - AI Engineer in Gurugram | Tal"
description: "Meet Priyansh Aggarwal, AI/ML Engineer | Full-Stack Developer | Ex-SDE Intern @ VWITS & NTRO | Building AI Products & GenAI Solutions based in Gurugram. AI stack includes claude code, hugging face, and llmapi. Explore public work links including github and leetcode."
image: "https://tal.club/meet/priyansh-aggarwal/share-image"
---

# Priyansh Aggarwal on Tal

## Headline

AI/ML Engineer \| Full\-Stack Developer \| Ex\-SDE Intern @ VWITS & NTRO \| Building AI Products & GenAI Solutions

## About

I’m Priyansh Aggarwal, a 22\-year\-old recent graduate with a B\.Tech in Computer Science Engineering, specializing in Artificial Intelligence and Machine Learning from The NorthCap University, Gurgaon\. I am actively seeking opportunities to gain practical experience and contribute to innovative projects in the tech industry\. Key Skills: • Proficient in programming languages including Java, C, and Python\. • Familiar with data manipulation and analysis libraries such as Pandas, NumPy, Matplotlib, and Seaborn\. • Strong understanding of essential concepts in Data Structures, Algorithms, Object\-Oriented Programming \(OOP\), and Computer Networking\. •Knowledgeable in various machine learning techniques, including Deep Learning, Convolutional Neural Networks \(CNN\), Recurrent Neural Networks \(RNN\), and Long Short\-Term Memory networks \(LSTM\)\. Passionate about continuous learning and staying updated with advancements in technology, including Internet of Things \(IoT\) and Computational Statistics\. I am eager to apply my knowledge and skills in a collaborative environment where I can contribute to meaningful projects and continue my professional growth\.

## Location

Gurugram

## AI stack

claude code

hugging face

llmapi

mcp

AutoGen

CrewAI

## Work experience

AI Engineer at CloudNation HQ, Oct 2025 \- Present · 11 mos, Hybrid, •Developing and deploying a Sports Prediction API leveraging Machine Learning, AI, and LLMs to forecast match outcomes and player performance, aimed for public launch as a standalone product\. • Collaborating with cross\-functional teams on frontend UI development, implementing responsive and scalable interfaces for multiple ongoing projects\. •Contributing to end\-to\-end model design, API integration, and performance optimization, ensuring production readiness and scalability for real\-world use cases\. •Utilizing technologies including Python, FastAPI, React\.js, and cloud\-based ML infrastructure for seamless data flow and model serving

Software Developer at DotBiz India, Oct 2024 \- Sep 2025 · 1 yr, India, • Integrated AI\-based features into scalable web solutions using Python and Django, streamlining backend workflows and enhancing operational intelligence\. • Leveraged data\-driven APIs and automation techniques for smarter client reporting

SDE Intern at Volkswagen Group Technology Solutions India, Mar 2024 \- Sep 2024 · 7 mos, Gurugram, Haryana, India, •Iris \(OCR\) Solution for Hotel Chain: Developed a Python and ML\-based OCR application to automate invoice scanning and data extraction, boosting data processing speed by 80% and accuracy for diverse invoices\. •AI Chatbot Enhancement \('AISHA'\): Enhanced an AI chatbot with dynamic GIFs animations using ReactJS, increasing user engagement and satisfaction by 20%\. •FAQ Generation Tool: Automated FAQ generation using Python, Flask, and OCR for PDFs, cutting manual effort by 60%\. Created a tool to generate multi\-language FAQs from VW server URLs, improving retrieval efficiency by 70%\. •3D Talking Chatbot Avatar: Designed a 3D chatbot avatar using Blender, Azure ML, TTS, and LLM for interactive and realistic user experiences\. •Flowchart and DFD Explanation Model: Developed a model using pre\-trained deep learning to generate explanations for flowcharts and DFDs from uploaded images\. •Hackathon Participation \- 'Army of Experts' \(AOE\): Co\-developed a Humanoid Bot with features like sentiment analysis, real\-time emotion detection, stock market chatbot, Generative AI, OpenCV, and RAG\.

SDE Intern at National Technical Research Organisation, Jun 2023 \- Aug 2023 · 3 mos, Delhi, India, Led the development of the "Android Data Extractor," a project for the Government of India, leveraging skills in cybersecurity and mobile app development to create a robust and secure data extraction solution\. Utilized Django \(Python\), Android Studio, and JavaScript to ensure cross\-platform functionality and security compliance\.

Backend Developer Intern at Newgen Software, Jul 2022 \- Aug 2022 · 2 mos, Noida, Uttar Pradesh, India, Designed backend architecture and APIs to support scalable web applications\. Contributed to a client project involving form and route design, ensuring smooth data flow across client branches\. Developed and optimized Java\-based APIs and maintained server\-side infrastructure

## Education

Bachelor of Technology \- BTech, CSE with AIML as Specialization, The NorthCap University

CBSE 12th passout, Science \(PCM \+IP\), Aravali international school

## Public links

- github: https://github\.com/priyansh1401/
- leetcode: https://leetcode\.com/priyansh\_1401

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

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