Hetav Patel

Data Scientist

San Francisco, California, United States2 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built scalable ML systems reducing update time by 40%.
Led development of energy-saving tools predicting cost reductions.
Mentored 40+ students improving project outcomes by 20%.

Stackforce AI infers this person is a Data Science and AI professional with a focus on MLOps and energy-tech solutions.

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Skills

Core Skills

MlopsData ScienceTeachingResearchComputer VisionSoftware Development

Other Skills

Amazon Web Services (AWS)Artificial Intelligence (AI)Data EngineeringPython (Programming Language)Project ManagementLarge Language Models (LLM)REST APIsStatistical Data AnalysisCommunicationLeadershipExplainable AIApplied Machine LearningMachine LearningData AnalysisDeep Learning

About

AI | ML | Data | AWS | MLOps I build ML systems that ship, scale, and stay maintainable. I’m actively seeking full-time roles as a Data Scientist, ML Engineer, or AI Engineer, focused on MLOps in production, data pipelines, and building in AWS. Data Scientist @ MicroEra Power: I build production ML and AI systems in energy-tech end to end, from thermal energy storage modeling to cost-optimized AWS pipelines supporting grid decarbonization work. Most recently, I deployed a containerized ML workflow using Docker and AWS ECS Fargate that reduced model update time by 40% and improved validation accuracy. I’ve also built AI products from prototype to product: -- IntrVu: a multi-agent interview coaching platform built with LangGraph, in beta with 25+ concurrent daily users and 400+ daily generations -- MiniDeep: a deep-research agent template delivered as an MVP for a startup to speed up internal documentation and research workflows Research and teaching: -- Capstone: Public Safety Monitoring Analysis using NLP and LLMs to infer public opinion at scale, submitted to a top-tier AI conference and currently under review -- Teaching Assistant at RIT: mentored 40+ graduate students in Python and ML through hands-on projects -- Research Assistant at RIT: built data pipelines supporting XAI research on temporal graph models in cybersecurity

Experience

2 yrs 2 mos

Total Experience

10 mos

Average Tenure

9 mos

Current Experience

Microera power, inc.

2 roles

Data Scientist

Aug 2025 – Present · 9 mos

Implementing a multi-agent RAG pipeline with LangGraph, enabling executives to query over 450+ Voice-of-Customer interviews and reduce decision making time by 50%.
Integrated MLflow for experiment tracking and prompt evaluation, enhancing model consistency and insight relevance by 20 %.
Built a FastAPI backend with Pinecone for semantic retrieval and summarization, cutting average response latency by 35 % and improving search precision.

Amazon Web Services (AWS)Artificial Intelligence (AI)Data EngineeringMLOpsPython (Programming Language)Project Management+2

Data Scientist

May 2025 – Aug 2025 · 3 mos

Led development of an Energy-Savings Modeling tool using client energy profiles to predict optimal Thermal Energy Storage sizing, projecting up to 40 % reduction in commercial electricity costs.
Designed a serverless ETL pipeline in AWS Glue and Athena, ingesting raw Parquet/CSV data from S3 and automating preprocessing tasks, cutting manual data prep by 60 %.
Containerized and deployed XGBoost and LSTM models with Docker on AWS ECS, enabling scalable inference.

Data ScienceLarge Language Models (LLM)MLOpsAmazon Web Services (AWS)Artificial Intelligence (AI)REST APIs+2

Rochester institute of technology

3 roles

Graduate Teaching Assistant

Jan 2025 – Dec 2025 · 11 mos · Rochester, New York, United States · Hybrid

Jan '25 - May '25: Graduate Teaching Assistant for ISCH-370: Principles of Data Science
Aug '25 - Dec '25: Graduate Teaching Assistant for DSCI-633 Foundations of Data Science and Analytics

Statistical Data AnalysisData ScienceTeachingCommunicationLeadership

Research Assistant

Aug 2024 – May 2025 · 9 mos · Rochester, New York, United States · Hybrid

Explainable AIStatistical Data AnalysisApplied Machine LearningResearchCommunication

Graduate Teaching Assistant

Aug 2024 – Jan 2025 · 5 mos · Rochester, New York, United States · Hybrid

Graduate Teaching Assistant for DSCI-633 Foundations of Data Science and Analytics.
Mentored and conducted lectures as an interim instructor of the course for 40+ graduate students in the field of data science, focusing on Data Analytics, Machine Learning, SQL, and Python, improving project outcomes by 20%.
Conducted industry-relevant and code walkthroughs, boosting students' practical skills and raising average grades by 15%.

Data ScienceMachine LearningLeadershipCommunicationData AnalysisTeaching

The lnm institute of information technology

Machine Learning Engineer

Sep 2022 – Mar 2023 · 6 mos · Jaipur, Rajasthan, India · Hybrid

Collaborated with an interdepartmental team of 5 international professors to propose a novel animal behavior detection model.
Engineered an image processing pipeline to improve the model’s ability to detect key points in various circumstances, utilizing OpenCV and DeepPoseKit to streamline the annotation and preprocessing of 2,000+ images.
Created a custom CNN model inspired by AlexNet in PyTorch, achieving 84% accuracy in classifying animal poses for behavioral analysis.

Deep LearningResearchComputer VisionData AnnotationFeature Engineering

Emewcorporation

Software Engineer

Jul 2021 – Dec 2021 · 5 mos · Vancouver, British Columbia, Canada

Upgraded legacy website to a multi-page React.js application and integrated analytics for user flow optimization, boosting engagement by 40%.
Automated customer logging workflow using a custom MySQL and Node.js pipeline in the backend, enhancing data retrieval efficiency by 32%.
Partnered with CMO to architect a data-driven SEO strategy, leveraging user analytics to drive a 20% rise in international client acquisition.

Software DevelopmentJavaScriptSQLData Analysis