About Me

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Hugging Face /
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Hello! I am Vipul Mehra. I am an experienced Machine Learning Practitioner skilled in building models for Natural Language, Recommender Systems, Search, Ranking, and Computer Vision.

With over 10+ years of industry experience, I bring expertise in machine learning and building low-latency high-throughput machine learning systems and platforms.

I have a proven track record of building and delivering high-impact machine learning/AI models that drive business value and ROI, along with end-to-end systems that scale to millions of users.

I am currently exploring Large Language Models (LLMs) and Large Vision Models (LVMs), with a focus on optimizing model serving, scaling, fine-tuning techniques and integration into real-world applications across ranking, recommendations, agentic AI workflows, and Retrieval-Augmented Generation (RAG) pipelines.

Let us connect to explore how I can contribute my skills and experience to make a meaningful impact.

Research & Projects

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FusionEffNet: An EfficientNet-Based Transfer Learning Model with Dual-Path Feature Fusion and AdamW Optimization for Multi-Class Kidney Disease Classification from CT Scans

Sep 30, 2026

Rajan, P., Mehra, V., Swain, D., Vasab, N., Davuluri, D., Pasee, P. J., Swain, N. K., & Kumar, M. (2026). FusionEffNet: An EfficientNet-based transfer learning model with dual-path feature fusion and ADAMW optimization for multi-class kidney disease classification from CT scans. Natural Resources for Human Health, 6(8s), 649–662. https://doi.org/10.53365/nrfhh.1450
XGBoost-Based Alzheimer Prediction with Feature Selection and Randomized Tuning

Sep 29, 2026

Gurlani, P., Dobariya, D., Geryani, J., Swain, D., Kumar, M., & Mehra, V. (2025, November). XGBoost-Based Alzheimer Prediction with Feature Selection and Randomized Tuning. In International Conference on Data Science, Computation and Security (pp. 167-176). Cham: Springer Nature Switzerland.
Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce

May 29, 2026

Shanthakumar, V. A., Barnett, C., Mehra, V., Chanprapan, K., Shankar, R., & Mukherjee, T. (2026, April). Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce. In The International FLAIRS Conference Proceedings (Vol. 39, No. 1).
Multi-label Lung Disease Detection Using Deep Learning

May 28, 2026

Kansara, S., Shah, P., Swain, D., Kumar, M., & Mehra, V. (2025, November). Multi-label Lung Disease Detection Using Deep Learning. In International Conference on Data Science, Computation and Security (pp. 111-123). Cham: Springer Nature Switzerland.
Machine Learning for Stroke Detection: Performance Evaluation of Random Forest and XGBoost Classifiers.

Mar 06, 2025

Deshmukh, O., Swain, N. K., Panda, T., Swain, D., Mehra, V., & Kumar, M. (2025, November). Machine Learning for Stroke Detection: Performance Evaluation of Random Forest and XGBoost Classifiers. In 2025 IEEE 3rd International Symposium on Sustainable Energy, Signal Processing and Cybersecurity (pp. 1-4). IEEE.

Latest Blog Posts

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Exploring MCP, Tools and Agents.

May 28, 2025

My stab at building agentic AI workflows and MCP servers and connecting them with tools.
ML Algorithms from scratch

Mar 01, 2025

Classic ML algorithms from scratch with just python and numpy!
Recommender Systems and Ranking

Mar 01, 2025

All my thoughts around building and scaling recommender and search and ranking systems
So you think you know NDCG?

Mar 01, 2025

Deep dive into NDCG as a ranking metric

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