MSc AI & ML @ TU Darmstadt | BTech CSE @ IIT Indore
I'm an AI/ML researcher and engineer with a strong publication record, hands-on edge deployment experience, and a passion for building things that work in the real world — not just in notebooks.
My core expertise sits at the intersection of generative models, video understanding, and applied computer vision. I've taken systems from research prototype all the way to field deployment on resource-constrained hardware, and I enjoy working on problems where that full journey matters.
Currently pursuing my MSc at TU Darmstadt, where I'm also working as a research assistant on diffusion model steerability and federated learning for medical imaging.
🏅 Institute Best Research Paper Award, 2025 — IIT Indore
Whether you're looking for a researcher, a collaborator, or a freelance engineer, here's where I add the most value:
| Area | What I Bring | |
|---|---|---|
| 🔬 | Research Collaboration | Novel model design, ablation studies, paper writing, benchmark evaluation |
| 🛠️ | Freelance / Contract | Computer vision pipelines, model training & fine-tuning, edge deployment |
| 💼 | Full-time / Internship | Deep learning engineering, applied AI research, MLOps |
| 🏥 | Medical AI | Histology image analysis, federated learning, segmentation pipelines |
Generative Models Novel GAN architectures for video understanding — CVAD-GAN, VALD-GAN, STemGAN, MAAD-GAN, iMAppGAN. Work spans anomaly detection, style transfer, and latent space manipulation.
Diffusion Model Steerability Training pipelines for text-to-image control; integrating Sparse Autoencoders as adapters for fine-grained generation steering.
Federated Learning for Medical Imaging Multi-client FL simulation on hyperspectral histology data (PaNCK & H&E staining); knowledge distillation / teacher-student extensions.
Edge AI & Real-world Deployment Optimized deep learning models for NVIDIA Jetson Nano (32 FPS real-time anomaly detection). Full stack from dataset collection to field testing.
| # | Paper | Venue | Year |
|---|---|---|---|
| J.1 | Attention-guided dual discriminator GAN for real-time video anomaly detection ⭐ | Engineering Applications of AI | 2024 |
| J.2 | CVAD-GAN: Constrained video anomaly detection via GAN | Image and Vision Computing | 2024 |
| J.3 | VALD-GAN: Video anomaly detection via latent discriminator augmented GAN | Signal, Image and Video Processing | 2024 |
| J.4 | STemGAN: Spatio-temporal GAN for video anomaly detection | Applied Intelligence | 2023 |
| C.1 | PAIN-GAN: Dual-stream encoder GAN for image style transfer | ICONIP 2024 | 2025 |
| C.2 | iMAppGAN: Integrated motion-appearance GAN for anomaly detection | ICONIP 2024 | 2025 |
| C.3 | Constraining latent space for unsupervised image-to-image translation | CVIP 2024 | 2024 |
| C.4 | VALT GAN: Anomaly detection via latent space mining | IEEE SSCI 2023 | 2023 |
| C.5 | MAAD-GAN: Memory-augmented attention discriminator GAN | CVIP 2023 | 2023 |
⭐ Best Research Paper Award, IIT Indore 2025
Core ML/DL
Data & Tooling
Languages & Web
Web3 & Blockchain
Backend & Infrastructure
Hilfswissenschaftler — MEC Lab, TU Darmstadt (Jul–Dec 2025) Federated learning for medical hyperspectral imaging; knowledge distillation pipelines.
Hilfswissenschaftler — AIML Lab, TU Darmstadt (Jan–Jun 2025) Diffusion model steerability; Sparse Autoencoder integration for text-to-image control.
Translational Research Fellow — IIT Indore (Oct 2023–Aug 2024) End-to-end development and field deployment of highway surveillance AI system in collaboration with DevAditya Technocrats LLP and CSIR CEERI Pilani.
Research Intern — Computational Intelligence Lab, IIT Indore (Jan 2022–Sept 2023) GAN-based video anomaly detection research leading to multiple journal publications.
Freelance services I offer:
- 🔗 Smart contract development (ERC-20, vesting, presale mechanics)
- 🏦 Token distribution platforms & investor portals
- 🔍 Blockchain transaction scanning & on-chain reconciliation
- 🌐 Web3 frontend integration (wallet connect, contract interaction)
- 🤖 Computer vision & deep learning pipelines
- 🚀 ML model deployment & optimization (including edge devices)
- 🤝 Research collaborations in generative AI, video understanding, or medical imaging
- 💻 Freelance projects in computer vision, model fine-tuning, or ML pipeline development
- 💼 Full-time / internship roles in applied AI research or deep learning engineering
- 📧 Reach me at anikeitsethi@gmail.com or connect on LinkedIn