---
title: "Praveen Nandan K - Artificial Intelligence Intern in Bengaluru | Tal"
description: "Meet Praveen Nandan K, AIML Undergraduate at Presidency University | Skilled in Programming & Web Development | Passionate about Al and ML Applications based in Bengaluru. AI stack includes aistudio, anthropic apis, and cursor. Explore public work links including github."
image: "https://tal.club/meet/praveen-nandan-k/share-image"
---

# Praveen Nandan K on Tal

## Headline

AIML Undergraduate at Presidency University \| Skilled in Programming & Web Development \| Passionate about Al and ML Applications

## About

I am pursuing my education in B\.Tech in Computer Science Engineering, Specialization in Artificial Intelligence and Machine Learning\. I am an aspiring student who enjoys connecting the dots, be it ideas from different disciplines or people from other teams\. I have strong technical skills and an academic background in programming and statistics\. I am a good dancer and a keyboardist\. \. Proficient: Python,​ Java, HTML, C, C\+\+, Excel, Web designing, video editing, Knowledgeable: R\.

## Location

Bengaluru

## AI stack

aistudio

anthropic apis

cursor

openai

## Work experience

Artificial Intelligence Intern at OpenText, Oct 2025 \- Apr 2026 · 7 mos, Bengaluru, Karnataka, India, During my internship at OpenText, I gained hands\-on experience in building agentic AI systems to automate complex browser\-based workflows used across enterprise platforms such as Jira, ServiceNow \(SNOW\), and myCDP\. I worked on developing an autonomous browser automation agent using Python, LangChain/LangGraph, and Playwright, capable of executing multi\-step workflows with minimal human intervention\. Instead of relying on static rule\-based scripts, the system used an LLM\-driven decision pipeline to understand UI context and dynamically adapt to changes in layout and workflow logic\. As part of the internship, I implemented error\-handling and self\-recovery mechanisms, enabling the system to handle unexpected UI changes and retry failed actions intelligently, improving overall reliability\. I also contributed to a CSM reporting pipeline by working with Excel data, transforming it into PostgreSQL, and automating the generation of PowerPoint reports and Power BI dashboards, improving reporting efficiency and consistency\. This experience allowed me to apply concepts from AI/ML and software engineering in a real\-world enterprise environment\. The automation system handled 10\+ workflows, reduced manual effort by approximately 65%, and saved over 20 hours per week for internal teams\. Working in a production\-oriented setting helped me understand the importance of building reliable and scalable systems beyond just functional prototypes\. I gained practical exposure to handling dynamic web interfaces, designing adaptable automation logic, and integrating AI\-driven decision\-making into traditional workflows\. Collaborating with team members and aligning solutions with real business requirements also improved my problem\-solving approach and ability to translate technical ideas into impactful outcomes\. This experience strengthened my foundation in building AI\-powered systems that are both practical and resilient in real\-world scenarios\.

Artificial Intelligence Intern at Viswam\.ai \(IIIT\-H, May 2025 \- Jul 2025 · 3 mos, • Developed and deployed machine learning models in a collaborative open\-source environment, contributing to open\-source projects and improving system scalability and performance • Engineered scalable model serving architectures and automated AI deployment via Docker containerization and CI/CD pipelines, bridging the gap between research models and production\-ready APIs

Web Developer at Gowri Software Solutions Pvt Ltd, Sep 2024 \- Oct 2024 · 2 mos, • Built 2 full\-stack apps \(React \+ Node\.js\) with REST API integration; optimized performance by 30% across 12\+ screen sizes • Collaborated directly with clients to gather requirements, iterate on UI/UX, and deliver production\-ready solutions within tight timelines

Intern at YBI Foundation, Jan 2024 \- Mar 2024 · 3 mos, • Designed and deployed 7\+ ML models improving prediction accuracy by 25%; automated data workflows and applied statistical analysis for business insights • Performed feature engineering and model evaluation to improve prediction reliability

## Education

Computer science and engineering, Artificial Intelligence and machine learning, Presidency University Bangalore

Jyothi English Medium School

## Public links

- github: https://github\.com/PRAVEENK44

[View the original profile](https://tal.club/meet/praveen-nandan-k)

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