# Dhruv **Research Assistant – Robotics & Reinforcement Learning** — San Jose, CA, United States > ML engineer with 3+ years building production AI systems, distributed data pipelines, and on-device models across Samsung, Bain, and robotics research. Career Archetype: **Foundry Trailblazer** (OS-MG) — One of the first Foundry Trailblazers on Saywise ## Links - LinkedIn: https://linkedin.com/in/dhruvpatel16 - GitHub: https://github.com/pateldhruv1672 - Personal Website: https://pateldhruv1672.github.io ## Experience ### Research Assistant – Robotics & Reinforcement Learning, San José State University (2026-01 – present) San Jose, California, United States · Built scalable ML training and evaluation infrastructure for RL policies on Unitree robots with automated sim-to-real transfer pipelines and W&B experiment tracking. Designed modular pipeline architecture that separated training, evaluation, and hardware deployment, eliminating manual reconfigurations and reducing experiment-to-hardware handoff cycles by 3x. ### President | Applied Intelligence Systems (AIS) Club, Applied Intelligent Systems at SJSU (2025-12 – present) As President of the AIS Club, I drive initiatives that enhance member engagement and professional growth. • Spearheaded the planning and execution of events and workshops tailored to member interests and industry trends. • Fostered collaboration with faculty and alumni to provide networking opportunities and professional development resources. • Developed strong communication strategies to gather feedback and streamline event planning processes. ### Senior Associate Software Engineer (AI/ML), Bain & Company (2024-04 – 2025-07) New Delhi, Delhi, India · Fine-tuned Mistral-8B with RAG on Bain's presentation corpus to build an AI-driven slide assistant, delivering 40% productivity gains. Designed and operated distributed PySpark ETL pipelines processing 1TB+ daily into Amazon Redshift with idempotent jobs and schema-enforced quality gates, cutting pipeline failure rework from ~3 hours to <30 minutes. Engineered the full-stack AI-based Map GL Classifier application resulting in $150 million in yearly revenue and reducing processing time by 3 weeks per case. ### Research And Development Engineer, Samsung R&D Institute India (2022-06 – 2024-04) Noida, Uttar Pradesh, India · Led development of an instruction-based image editing system using LLMs and Stable Diffusion, reducing inference time by 250ms. Developed an NLP proof of concept for real-time English-to-Hindi call translation with 450ms inference latency. Orchestrated ProtoTile for Galaxy Watch 6 Contacts, designing cloud backup and restore pipelines. Optimized a production LLM image editing microservice through request batching and async processing, reducing p99 latency from 1.2s to 480ms. ### Software Engineer Intern, Wipro Limited (2021-06 – 2021-07) India ### Data Analyst Intern, Edulyt India (2020-06 – 2020-08) ### Research Intern, Sardar Vallabhbhai National Institute of Technology, Surat (2019-12 – 2020-02) Greater Surat Area ## Education ### Master of Science - MS in Applied Data Intelligence, San José State University (2025-08 – 2027-05) ### M.S. in Applied Data Science, San Jose State University (2025-08 – 2027-05) GPA: 4.0 / 4.0 ### B.Tech in Electronics & Communication, Sardar Vallabhbhai National Institute of Technology Surat (2018-06 – 2022-05) GPA: 3.7 / 4.0 ### Bachelor of Technology - BTech in Electronics and Communication Engineering, Sardar Vallabhbhai National Institute of Technology, Surat (2018-01 – 2022-01) ## Projects ### The Last Degree – Graduate ROI Intelligence Data pipeline ingesting job listings with analytical views on skill demand and salary trends · Built a self-directed Airflow pipeline extracting 1M+ daily job listings from Adzuna API with rate-limit handling and upsert-based Snowflake loading. Engineered dbt transformations producing 5 analytical views including Skill Demand Index, salary trends, and ROI forecasts. Exposed results via REST API to a React frontend with failure alerting and data-quality checks. ### AutoQuote: AI Vehicle Repair Finder Full-stack microservice system for AI-powered vehicle repair discovery and booking · Independently architected a full-stack microservice with circuit-breaker patterns, two-tier caching, and timeout handling to defend against high-latency dependencies. Integrated AI image analysis for vehicle damage, shop discovery, voice-call automation via VAPI, and appointment booking into a single orchestrated backend with structured logging and request tracing. ### Stock Price Forecasting & Analytics Pipeline Two-DAG Airflow architecture for OHLCV data ingestion and per-symbol ML forecasting · Built a two-DAG Airflow system handling daily OHLCV ETL from yfinance with transactional idempotent loads into Snowflake. Implemented dynamic task mapping with Airflow Pools for controlled Snowflake concurrency and per-symbol model training. dbt layering separated RAW and ANALYTICS with training views and final tables merging historical and forecasted values. ### Semantic Search Engine – Pinecone + Airflow End-to-end vector search pipeline with SentenceTransformers embeddings · Built a self-directed Airflow-orchestrated semantic search pipeline covering ingestion, preprocessing, and SentenceTransformer embedding with all-MiniLM-L6-v2 model. Implemented idempotent Pinecone vector upserts with index-reset capability to prevent duplication. Containerized via Docker Compose for reproducibility. ## Skills Problem Solving, Visual SLAM, Docker, React.js, Kotlin, Django, Flask, Spring Framework, JavaScript, Grafana, Amazon Web Services (AWS), MongoDB, Python (Programming Language), C++, C (Programming Language), Java, Microsoft Office, SQL, HTML, Microsoft PowerPoint, Matlab, SLAM, Motion Control, Robotics, Snowflake, Systems Design, Natural Language Processing (NLP), Computer Vision, Research and Development (R&D), Large Language Models (LLM), Distributed Systems, Generative Adversarial Networks (GANs), Object-Oriented Programming (OOP), Algorithms, Software Development, Model-view-viewmodel (MVVM), Android Development, Microservices, Project Management, Site Reliability Engineering, Physical AI, ROS2, Data Build Tool (DBT), Retrieval-Augmented Generation (RAG), Generative AI, Stable Diffusion, AI Software Development, AI Agents, C#, TypeScript, Data Structures, Graph Algorithms, Dynamic Programming, Design Patterns, S3, Lambda, DynamoDB, SQS, SNS, CloudWatch, Glue, Amazon Redshift, ECS, IAM, PySpark, Apache Airflow, ETL/ELT Pipelines, Fault Tolerance, Scalability, PyTorch, TensorFlow, SentenceTransformers, Pinecone, Weights & Biases, Quantization, Reinforcement Learning, Spring Boot, FastAPI, Node.js, Express, Kubernetes, PostgreSQL, CI/CD, GitHub Actions, Distributed Tracing, OAuth 2.0, REST APIs, Git, Linux ## Credentials - **Lean Six Sigma for a Sustainable Future** — LinkedIn (issued 2023-08) - **Mastering Model Context Protocol (MCP)** — LinkedIn (issued 2025-09) - **Software Architecture Foundations** — LinkedIn (issued 2022-08) - **Applied Data Science Capstone** — Coursera (issued 2020-05) - **IBM Data Science Professional Certificate** — Coursera (issued 2020-05) - **Data Visualization with Python** — Coursera (issued 2020-05) - **Structuring Machine Learning Projects** — Coursera (issued 2020-04) - **Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization** — Coursera (issued 2020-04) - **Machine Learning(Stanford Online)** — Coursera (issued 2020-04) - **Data Analysis with Python** — Coursera (issued 2020-04) - **Programming Foundations with JavaScript, HTML and CSS (with Honors)** — Coursera (issued 2020-04) - **Databases and SQL for Data Science** — Coursera (issued 2020-01) - **Machine Learning with Python** — Coursera (issued 2020-01) - **Python for Data Science and AI** — Coursera (issued 2019-12) - **Python for Data Science and AI** — Coursera (issued 2019-12) - **Google Cloud Platform Fundamentals: Core Infrastructure** — Coursera (issued 2019-12) - **Technical Support Fundamentals** — Coursera (issued 2019-12) - **Neural Networks and Deep Learning** — Coursera (issued 2019-12) - **Data Science Methodology** — Coursera (issued 2019-12) - **Data Science Methodology** — IBM (issued 2019-12) ## AI Fluency - **GitHub Copilot** (https://github.com) - **Claude Code** (https://claude.com) --- Source: https://saywise.com/pateldhruv1672 (last modified 2026-08-31T10:44:28.108Z)