AI Engineer · Machine Learning Researcher · Data Scientist
Building intelligent systems at the intersection of Generative AI, Computer Vision, and Data Science.
I'm an AI Engineer and ML researcher interested in turning research ideas into practical systems.
My work spans:
- 🤖 Generative AI & LLMs — RAG, multimodal models, efficient inference
- 🧠 Computer Vision — image synthesis, segmentation, representation learning
- 🩻 Medical AI — cross-modal MRI synthesis and generative modeling
- 📊 Data Science — predictive modeling, experimentation and analytics
- ⚙️ MLOps & AI Engineering — deployment, optimization and production ML systems
Currently working as a Data Scientist – AI, building production AI solutions.
My recent research focuses on generative modeling and representation learning for medical imaging.
Selected work
🩻 Bridging the Contrast Gap Frequency-Aware Discrete Representation Learning for Cross-Modal MRI Synthesis
Exploring frequency-aware representations and discrete latent spaces for improving cross-modal MRI synthesis.
Topics I'm currently interested in
Generative AI · Diffusion Models · VQ-VAE · Multimodal Learning · Medical Imaging · Representation Learning
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Research on synthesizing one MRI contrast from another using discrete representation learning and generative models. Focus: VQ-VAE · Diffusion · Frequency Analysis · Medical Imaging |
Building practical AI systems involving LLMs, RAG pipelines, computer vision and machine learning. Focus: LLMs · RAG · Multimodal AI · MLOps |
Python · PyTorch · TensorFlow · OpenCV · Docker · Git · Linux · AWS · Azure · Flask · SQL · MongoDB
M.Tech — Artificial Intelligence IIT Jodhpur · 2024–2026
B.Tech — Data Science & Engineering Manipal University Jaipur · 2020–2024
Also selected for the Amazon ML Summer School and actively involved in ML research and technical projects.
Generative AI
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Multimodal Models
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Efficient AI Systems
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Production ML / MLOps
I'm particularly interested in understanding how modern AI models work internally and how to turn them into systems that are efficient, reliable, and useful in the real world.
I'm always interested in:
- Research collaborations
- Interesting AI/ML projects
- Generative AI & Computer Vision
- Production ML / MLOps
- Building useful AI products
“Building, researching, and learning one model at a time.”