AI / ML ENGINEER · SAN FRANCISCO

DhruvParmar.

I build search, retrieval, and machine-learning systems that turn complex data into useful, reliable decisions.

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Evidence in.
Better decisions out.

AVAILABLE FOR HIGH-IMPACT ML TEAMSSEARCH · RAG · HEALTHCARE AI · SYSTEMSTry the AI portfolio
01Daily queries supported
200M
02Lower p50 search latency
30.2%
03Less embedding storage
75%
04URLs in the web index
200B+

01 THE PERSON BEHIND THE SYSTEMS

Good models matter.
What they make possible matters more.

I'm Dhruv, an AI/ML engineer with 4+ years of experience across production search, retrieval, healthcare intelligence, and distributed infrastructure.

I work from experiment to deployment: ranking better evidence, measuring quality carefully, reducing latency and cost, and building systems that remain dependable at scale.

Explore my experience

02 SELECTED WORK

Ideas, put to work.

Production systems and applied projects across search, healthcare, recommendations, and computer vision.

4 selected pieces

PERPLEXITY / SEARCH & RETRIEVAL

Better evidence. Faster answers.

Hybrid retrieval and ranking systems that select relevant evidence for production RAG pipelines.

  • Python
  • PyTorch
  • RAG
Explore the work

My contribution

Combined staged candidate filtering, embedding-based scoring, and selective cross-encoder reranking. Evaluated releases with retrieval benchmarks, LLM graders, human judgments, and A/B tests.

The work supported pipelines serving 200 million daily queries and contributed to 93.0% overall SimpleQA accuracy. Native INT8 quantization reduced embedding storage by 75%, with retrieval quality validated against full-precision baselines.

30.2% lower p50 latency

HCL TECH / HEALTHCARE ML

Data that supports better care.

Healthcare data and ML workflows for patient-risk insights, data quality, and clinical applications.

  • Databricks
  • MLflow
  • FHIR
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My contribution

Built Python and SQL pipelines for clinical and claims data, OAuth-secured FHIR integrations, and reusable workflows for feature engineering, model versioning, and monitoring.

Automated validation across more than 6,000 healthcare quality rules. Standardized deployment and governance workflows across client environments, with drift and data-quality monitoring for ongoing reliability.

3 weeks → 3 days to deploy

MASTER'S PROJECT / GAME NODE

Recommendations with a player in mind.

A personalized gaming dashboard that connects Steam activity with useful game recommendations.

  • Steam Web API
  • Recommendations
  • AI
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My contribution

Used Steam playtime, achievements, and favorites to personalize recommendations. Added 24-hour caching to reduce redundant API calls and improve response time.

Developed an AI-assisted complaint-resolution workflow that generates contextual recommendations and supports escalation to a human when needed.

24-hour caching for API efficiency

MASTER'S PROJECT / COMPUTER VISION

A new dimension from everyday video.

An end-to-end pipeline that turns monocular smartphone videos into 3D assets for simulation.

  • Python
  • COLMAP
  • Open3D
Explore the work

My contribution

Built a reconstruction workflow with COLMAP and Open3D, from smartphone video to processed point clouds and 3D assets.

Added automated quality control to identify visual and geometric defects, improving the reliability of reconstructed assets for downstream simulation.

Video → simulation-ready 3D

03 EXPERIENCE

From ideas
to impact.

Building at the intersection of machine learning, data, evaluation, and production engineering.

Get the full résumé
PerplexityMay 2025 — Present

AI/ML Engineer

San Francisco, California

Building retrieval, ranking, evaluation, and indexing systems for answer generation at global scale.

  • Improved hybrid retrieval and ranking pipelines supporting 200 million daily queries.
  • Reduced p50 search latency by 30.2% and embedding storage by 75%.
  • Deployed distributed retrieval and model-serving workloads on AWS and Kubernetes.
HCL TechAug 2021 — Jun 2024

Machine Learning Engineer

India

Developed healthcare ML and data platforms for patient-risk and clinical decision workflows.

  • Built Python and SQL pipelines for clinical, claims, pharmacy, and patient-risk data.
  • Automated validation across more than 6,000 healthcare quality rules.
  • Standardized model delivery, reducing rollout time from three weeks to three days.

04 AI PORTFOLIO LAB

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Dhruv is an AI/ML engineer with 4+ years of experience across production search, retrieval, healthcare ML, and distributed systems. Ask about a domain, metric, project, or role and I’ll surface the most relevant résumé evidence.

Try asking about RAG, LLM evaluation, healthcare data, infrastructure, or production scale.

05 EXPERTISE

The tools behind the work.

From the first experiment to a system that holds up in production.

01 /

Models & retrieval

  • PyTorch
  • Scikit-learn
  • Hybrid retrieval
  • RAG
  • Cross-encoders
  • LLM evaluation
02 /

Data & experimentation

  • Python
  • SQL
  • Airflow
  • Databricks
  • MLflow
  • A/B testing
03 /

Systems & deployment

  • AWS
  • Kubernetes
  • Docker
  • CUDA
  • Rust
  • C++

EDUCATION

Master of Science in Computer Science

Saint Louis University

CERTIFICATIONS

  • AWS Certified AI Practitioner
  • NVIDIA Generative AI LLMs Associate
  • DATABRICKS Machine Learning Associate

06 GET IN TOUCH

Building something
ambitious?

I'd love to hear about your team, your idea, or the problem you're trying to solve.

LET'S START A CONVERSATIONPrefer to start with my résumé?