dhruvkumar patel/ data scientist
Data Scientist · Machine Learning Systems

Dhruvkumar Patel.

Data Scientist at Myntra (Ads Ranking). M.Tech CSE from IIIT Delhi. I build production ML systems, including feature pipelines, ranking models, and evaluation harnesses.

Research

Publications

Google Scholar ↗
YearPublication & StatusVenue
2026BlackboxNLP 2026, Co-located with EMNLP 2026 in Budapest, Hungary on October 29th, 2026
20242024 IEEE 9th International Conference for Convergence in Technology (I2CT)
Experience

Current work

full CV →
Industry · Full-timeJul 2026 - Present

Data Scientist

Myntra · Bengaluru, Karnataka

  • Shipped a replacement ads-ranking model delivering a statistically significant CTR lift in live A/B testing, after improving offline NDCG over production and baseline rankers.
  • Extended the ranking objective from CTR alone to funnel-depth (CVR) metrics using state-of-the-art deep multi-task ranking architectures and Triton GPU runtime conversions.
  • Cut ad-vector generation compute by more than an order of magnitude by reducing embedding depth while retaining ranking quality, and reduced near-real-time batch processing latency several-fold.
Research · ThesisJan 2025 - Jun 2026

Graduate Researcher

MIDAS Lab, IIIT Delhi · New Delhi

  • M.Tech Thesis: “Lost in Perception: Isolating Perceptual and Reasoning Failures in Multimodal Physics and Geometry Reasoning”, accepted at the 9th BlackboxNLP Workshop @ EMNLP 2026.
  • Engineered a 5-condition diagnostic framework evaluating 6 MLLMs across 5 benchmarks, isolating perception vs. reasoning failure modes and identifying that diagrams break up to 46.1% of text-solvable problems.
  • Fine-tuned Qwen2.5-VL-72B on 5× H100 GPUs for annotation anomaly detection, cutting async batch inference latency 35% with FastAPI and Celery.
Selected Systems

Featured projects

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Multimodal AI
2025
Loading image: Architecture diagram showing OCR extraction, Qwen2.5-VL-7B figurative reasoning, and ResNet-50 visual features fusing into a MentalBART encoder with retrieval-augmented context for mental health meme classification
Architecture diagram showing OCR extraction, Qwen2.5-VL-7B figurative reasoning, and ResNet-50 visual features fusing into a MentalBART encoder with retrieval-augmented context for mental health meme classification
Inspect

Mental Health Meme Classification

Classifies depression and anxiety symptoms from internet memes by combining OCR text, Qwen2.5-VL-7B-generated figurative reasoning, and ResNet-50 visual features, fused through a MentalBART encoder with retrieval-augmented context.

Multimodal AIPyTorchMentalBARTQwen2.5-VL
Kubernetes
2025
Loading image: Pixie eBPF observability dashboard showing live CPU usage, network throughput, and disk I/O for DeathStarBench compose-post-service on Kubernetes
Pixie eBPF observability dashboard showing live CPU usage, network throughput, and disk I/O for DeathStarBench compose-post-service on Kubernetes
Inspect

Microservices Benchmarking with DeathStarBench

Deployed DeathStarBench's 20+ service social network across Docker Compose, k3s, and GKE to benchmark latency and resource utilization under three replica/node topologies. Because Prometheus had nothing to scrape and Jaeger shipped broken, I rebuilt observability on eBPF-based Pixie and repaired Jaeger by hand.

KubernetesGKEDockerPixie eBPF
Credentials

Certifications

AWS Certified Machine Learning Engineer - Associate
Amazon Web Services · Issued Jul 2025
AWS Certified Machine Learning Engineer - Associate
Verify credentialID: 5e46b311411640...
Microsoft Certified: Azure Data Scientist Associate
Microsoft · Issued Jun 2024
Microsoft Certified: Azure Data Scientist Associate
Verify credentialID: E569DA1CD528CD...
Writing & Media

Engineering deep-dives & channels

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On This Website

Technical Blog

Long-form engineering deep-dives into multimodal AI, edge computer vision, and distributed systems benchmarking.

Read the blog
Substack Newsletter

stackdhruv.substack.com

Field notes, architectural essays, and mental models on production machine learning systems, ranking, and infra.

YouTube Channel

The MLDLog

Video walkthroughs, research paper breakdowns, and hands-on demonstrations of machine learning systems.

Watch on YouTube
Endorsements

Recommendations

He has strong development skills and an impressive ability to understand problem statements clearly, which allows him to deliver effective and well-structured solutions. Punctual, sincere, and highly dedicated, as well as a great team player who collaborates effectively and contributes positively.

Jaiswal Raj Poonam
PhD Thesis Mentor · IIIT Delhi

Dhruv is one of the most dedicated and hardworking students, consistently outcome-oriented and punctual. He has worked under me for many research projects in AI, ML, LLMs, Computer Vision and Data Science.

Dr. Himani Trivedi
Head of MMPSRPC, Asst. Professor · KSV, LDRP-ITR