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Who
dis?

About

I build models that show their work — they cite, abstain, or explain. Never just guess.

I am a Computer Science and Engineering undergraduate at Bennett University (The Times Group), specialising in artificial intelligence, with a CGPA of 8.92. My coursework runs through linear algebra, probability and statistics, machine learning, deep learning, NLP and data structures — and my work sits across all of it.

Most of what I build is about models that can account for themselves. Ruchi verifies every citation in a legal brief against 38,005 Supreme Court judgments. IndicRAG-QA cites a passage or abstains. TruthShield explains its verdicts through attention rollout. On the research side I ran a four-model discriminator ablation to resolve the PatchGAN paradox in MRI tumour segmentation.

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B.Tech CSE (AI)

Bennett University

CGPA

8.92

Research Lead

IEEE & ACM

Summer 2026

Publicis Resources

Open to internships✦Agentic AI✦Deep learning research✦RAG that abstains✦PyTorch✦LangGraph✦Rust → WASM✦Bennett University✦Open to internships✦Agentic AI✦Deep learning research✦RAG that abstains✦PyTorch✦LangGraph✦Rust → WASM✦Bennett University✦

Selected work · 6 packs

The
goods

Research ablations, agents that ground every answer, and systems code compiled to run in the browser.

Full index →

The workshop · interactive

Step into
the room

DHRUV LABSBookshelfTrophiesExperienceServer racksRésuméDeploy lineResearch labDeskNow playingAbout

Welcome to the workshop

Click anything in the room.

Every object opens part of the story — or pick from the list.

Receipts,
not
adjectives

38,005

Supreme Court judgments Ruchi checks citations against

0.958

SSIM — best PatchGAN in the BraTS ablation

54.1%

Recall on unseen attacks, up from 8.5%

0.9956

Validation F1 — TruthShield's fusion head

132

Tests across the Rust systems projects

8.92

CGPA — B.Tech CSE (AI)

The
record

Jun 2026 — Aug 2026

Experience

Applications Admin Intern — AI/ML

Publicis Resources

Gurugram, India

  • Administered and tested AI-enabled enterprise applications in production.
  • Handled DSAR workflows and data validation; documented processes for MLOps teams.

2025 — 2026

Experience

Research Lead

IEEE & ACM Student Chapters, Bennett University

  • Leading student AI/ML research across both chapters.

2024 — 2028

Education

B.Tech — Computer Science & Engineering (Specialisation in AI)

Bennett University, The Times Group

Greater Noida, India

  • CGPA 8.92.
  • Relevant coursework: Linear Algebra, Probability & Statistics, Machine Learning, Deep Learning, NLP, DSA.

Technical skills

Toolkit

ML / DL

  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
  • Scikit-learn
  • OpenCV
  • NumPy
  • Pandas

Models

  • U-Net
  • Conditional GANs (PatchGAN)
  • BERT / RoBERTa
  • GPT-2
  • Vision Transformers
  • Autoencoders

GenAI & Agents

  • LangGraph
  • LangChain
  • Strands Agents SDK
  • LiteLLM
  • AWS Bedrock
  • RAG
  • Tool Calling

Languages

  • Python
  • Rust
  • TypeScript / JavaScript
  • SQL

Systems & Deployment

  • FastAPI
  • Docker
  • Modal
  • Vercel
  • WebAssembly
  • Tokio
  • Rayon
  • SQLite
  • Redis
  • Git

Some
silver
ware

NST GenAI Hackathon

Special Jury Award

Wraith OS — RetroCloud

Built a lightweight cloud file-management system with a FastAPI backend.

Project Showcase 2025 — Bennett University × Times of India

2nd Runner-Up

TerraVit

Built an AI climate-intelligence system that applies Vision Transformers to satellite imagery.

Let's
work!

Open to internships & research roles

Internships, research collaborations, or an agent that needs to stop making things up — write to me.

guptadhruv1402@gmail.com
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