AI Intern
VISWAM.AI SUMMER INTERNSHIP
Worked on AI assistants and NLP applications, exploring tool-driven workflows, natural-language interfaces, and educational experiences.
PALEM BHARATH LINGA REDDY OPEN TO AI / ML INTERNSHIPS
CURIOUS MIND.
INTELLIGENCE, MADE TANGIBLE.
I turn data, models, and a lot of questions into AI tools people can actually use.
View my resume ↗02 / THE WAY I THINKHUMAN CURIOSITY. COMPUTATIONAL POSSIBILITY.
A better question.
A useful answer.
I’m Bharath, a Computer Science student exploring where machine learning becomes a real product.
I like the whole journey: understanding a dataset, building a model, connecting the tools, and designing an interface that makes the result clear.
My work spans conversational analytics, MCP-powered agents, multimodal retrieval, and explainable computer vision.
A little more about my journey ↗THE SHAPE OF AN IDEA
Start with a question. Follow the unexpected. See what takes shape.
MY FAVOURITE STARTING POINTA little “what if?”
A little “what if?”
A lot of “let’s try.”
03 / SELECTED WORKTHE SOURCE IS OPEN ↗
Less theory.
More building.
Experiments that became applications.
Open a project to see the thinking,
the system, and the source.
Showing all 7 projects.
There’s always another experiment.Follow the next one on GitHub ↗04 / THE JOURNEYDOWNLOAD RESUME ↓
Always
in progress.
Learning the foundations.
Building beyond them.
Foundations of AI Intern
Edunet Foundation MICROSOFT INITIATIVE · AICTE
A four-week AI internship, followed by continued exploration of machine learning, model evaluation, and explainability.
B.Tech, Computer Science
ICFAI University, Hyderabad
Specializing in Data Science & Artificial Intelligence. Building a foundation in programming, data, and intelligent systems.
05 / MY TOOLKITTHE RIGHT TOOL FOR THE QUESTION.
From first
principles
to the interface.
01 Models & intelligence +
Training, evaluating, and connecting models to meaningful context.
02 Agents & retrieval +
Giving language models context, tools, and structured workflows.
03 Product & data +
Connecting analytical logic to usable applications.
04 The everyday essentials +
The tools behind the experiments, iterations, and deployments.
06 / LEARNING, WITH RECEIPTS16 CREDENTIALS · 2023—2026
Curiosity.
With a paper trail.
Courses, an internship, and workshops.
Every card opens the actual document.
01 / 06
Machine Learning Specialization
DeepLearning.AI · Stanford Online
USE THE ARROWS TO EXPLORECredentials distinguish course completion, workshops, and internship participation. The AWS entry is a Udemy course completion, not an AWS-issued certification.