prakhar.tiwari@polytechnique.edu

Prakhar.
Tiwari

MScT Artificial Intelligence at École Polytechnique

Interdisciplinary expert in AI applications and technology management.

I connect AI engineering with technology management, understanding people's challenges and turning them into useful AI solutions.

PDF download pending · Personal statement in Documents

Prakhar Tiwari speaking at the École Polytechnique Gala
Speaking at the École Polytechnique Gala

Paris, France

Interested in a CDI or a 6–8 month internship in AI, agentic AI systems or data science.

Achievements beyond academic journey

2025

1stof 85 teams

Hi! Paris H!ckathon

EvAluate: an agentic assistant for teachers and institutions.

2024

1stof 30 teams

ENGAGE.EU Student Competition

Digital integration of AI in society.

2023

Nominatedone of 28 students across the Netherlands

ECHO Award

Understanding intelligence.Building what comes next.

A path from cognition to engineering, and from technical possibilities to the needs of people, businesses and institutions.

Start with the mind.

2022

I moved to Europe to study Cognitive Science and Artificial Intelligence at Tilburg University. I wanted to understand the connections between human psychology and AI, and what each could teach us about the other.

Look beyond the classroom.

2023–2025

Outreaching Honours, campus involvement, competitions, associations and consulting brought me closer to businesses and institutions. Along the way, I received recognition for my active contribution to campus life.

Put intelligence to work.

2025–2026

At École Polytechnique, my focus became clearer: applied AI for businesses, close client contact, building and consulting. As the first technical / AI hire at EdTech startup Nabojo, I began putting those ideas into practice.

“I started by wanting to understand intelligence. Now, I want to put it to work.”

From research to real work.

Experience, leadership & education · newest first

Sep 2026–Sep 2027

EuroTeQ · Elected student representative

One of 11 representatives advising the management board on a European university programme.

Jan 2026–present

MoX · VP & Head of Partnerships

11-member board · 7 partnerships · sponsorship +25%.

Jan–Aug 2025

Tilburg University · Research Assistant

Reproducible Python behavioural-data pipeline for the GOALIE study, involving 90+ participants.

Nov 2023–Mar 2024

Circana · Technology Consultant Intern

Python automation across 100,000+ product / pricing points, replacing at least 15 hours of manual work per cycle.

Sep–Dec 2023

180 Degrees Consulting · Student Consultant

Yopla carbon-footprint SaaS market entry: 6-person team, 15+ competitor benchmarks across 4 countries. Recommended the Netherlands in a 78-page report and client deck.

An international path.

Where the work happened, in sequence · hover or tap for details

Selected work.

Different applications. A common thread: making technical ideas useful in context.

Illustrative preview · image Q&A pipeline

“What is happening in this image?”

BLIP + DETR→LLaMA 3 / Groq→Answer

Images that talk

↗

A Streamlit image Q&A app combining BLIP captioning, DETR object detection and LLaMA 3 reasoning via Groq.

Computer vision · Multimodal systems

Illustrative preview · sample brief

Your critical tasks, in one brief.

Notion→GPT-4o-mini→Email / every 2 days

Notion Autopilot

↗

Python daily-brief automation that pulls critical Notion tasks, summarises them and emails a digest every two days via GitHub Actions.

Agents & automation · Python / GitHub Actions

Help Elect

Founder · In development

Political transparency for France and India. Machine-verified, verbatim quotes from primary sources, not summaries.

Primary-source verification · AI for institutions

OuroNova

Circular renovation platform

Connects homeowners, contractors and material buyers on one platform, combining stackable French public aid with a marketplace for demolition material.

Circular renovation · Community workflows

MoX community website

Community infrastructure

Official website of MoX, the student body for all MScT students at École Polytechnique. Handles member information, event registration, partnership inquiries and payments.

Community website · TypeScript

Hummingbird

Music and AI

Hum a melody and the system finds the song from a database of 20 tracks, using pitch extraction and a two-stage DTW match. The project also covers harmonising a hummed tune and generating a music video from a song.

Audio signal processing · Python

Social role classification

Team project · École Polytechnique data challenge

Predicting whether a Twitter user is an Influencer or an Observer from a single tweet and its metadata. CamemBERT embeddings, engineered features and a boosted-tree ensemble reached 84.4% accuracy on the Kaggle test set.

Deep learning · NLP · Kaggle

Imitation learning with RL fine-tuning

Team project · École Polytechnique course

Behavioural cloning followed by REINFORCE fine-tuning on LunarLander, compared against RL from scratch. Ablations cover demonstration set size, expert quality and covariate shift.

Reinforcement learning · PyTorch

Bias detection

Team project · Hi! Paris hackathon

An MVP that flags racism and sexism in text with a BERT classifier, then explains each flag with a Mistral LLM. Backend and frontend run from a single Docker container.

NLP · BERT · Mistral

Disaster tweet triage

NLP pipeline

Classifies disaster-related social media posts to help triage them, combining the Kaggle Disaster Tweets and HumAID datasets.

NLP · Python

Motion-powered computer interface

Computer vision

Operate the mouse, change the volume or switch wallpapers using only hand signs and motions captured by a camera.

Computer vision · Human-computer interaction

WorldQuant Applied AI Lab

Coursework

My solutions to the six computer vision projects in WorldQuant University’s Applied AI Lab: classification, detection, segmentation, facial recognition, medical image generation and text-to-image generation.

Computer vision · PyTorch · OpenCV

The short version. And the why.

Read the sample previews below. Downloadable PDFs are not yet supplied.

Sample PDF previewCV / PDF

Prakhar Tiwari

AI applications & technology management
Paris, France · prakhar.tiwari@polytechnique.edu


Education
MScT, École Polytechnique · 2025–2027
BSc Cognitive Science & AI, Tilburg · 2022–2025

Selected experience
Nabojo · AI R&D Engineer Intern / first technical hire
Circana · Technology Consultant Intern
180 Degrees Consulting · Student Consultant

Python · SQL · C++
Computer vision · Agentic AI · Data science

Download CV · pending ↗ Preview based on supplied résumé.
Website PDF to follow.
Draft samplePersonal statement / PDF

Why I build.

I began with a question about intelligence: how do people learn, and what can AI learn from them? Studying cognition at Tilburg gave me a way to investigate that question.

Consulting and campus involvement widened my perspective. At École Polytechnique, I found a clearer direction: building applied AI in close contact with the people and organisations it serves.

I’m interested in internship opportunities where engineering, thoughtful evaluation and business understanding meet. I want to understand the challenge before deciding what to build.

Download statement · pending ↗

Supporting documents · sample slots

Academic transcript ↗

Sample preview: degree and course overview. Official transcript not supplied.

Project documentation ↗

Sample preview: pipeline notes and collaborative contribution summary.

Certificates & evidence ↗

Sample slot for approved evidence. No certification is claimed.

In development

Ask about Prakhar.

A second way into the portfolio. Explore the experience, projects and ideas behind the work.

Open the second brain ↗

Sample conversation, not a live assistant. Answers draw on portfolio material; unknowns go to direct contact.

Sample conversation
You

How does Prakhar connect technical AI work with business needs?

Portfolio answer · sample

His experience spans understanding the problem and building the solution. At Circana, Python automation replaced at least 15 hours of manual work per cycle. At Nabojo, agentic checks supported pedagogical review. At 180 Degrees Consulting, he worked in a six-person team on Yopla’s market-entry strategy.

Sources: Experience → Circana, Nabojo, 180 Degrees Consulting

Let’s put AI to work.

Hiring, building or exploring a useful application? I’m interested in the conversation.

prakhar.tiwari@polytechnique.edu ↗

For a quick overview: CV sample preview · Experience · Selected work