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Rashid Khazeynasab-Senior Machine Learning Engineer | Ml Systems, Applied AI & Model Evaluation

Rashid Khazeynasab - Senior Machine Learning Engineer | Ml Systems, Applied AI & Model Evaluation - profile avatar
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Available
Sunnyvale, United States

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Experience

Oct 2025 - Present
Sunnyvale, United States

Senior Machine Learning Engineer

Walmart Labs

Position summary
Senior Machine Learning Engineer at Walmart Labs
Industries
Retail
Business areas
Information Technology
Product Development
Quality Assurance
Research and Development
Explore AI Engineer
  • Designed and built agentic AI features for Walmart's conversational shopping assistant, spanning agent orchestration, tool calling, state and context management, and backend services.
  • Delivered customer-facing shopping features that combine LLM reasoning, business logic, and real-time data for product discovery, recommendations, and cart-related experiences.
  • Led Llama 8B/70B fine-tuning and prompt design for e-commerce and product Q&A systems, improving production answer quality by 10%.
  • Built personalized product-discovery and event-planning agents using customer intent, behavior, and product information to generate relevant recommendations.
  • Built retrieval and ranking pipelines using embeddings, semantic search, query understanding, and LLM-based re-ranking.
  • Established evaluation and safety workflows using LLM-as-a-Judge, replay testing, human feedback, and automated metrics; analyzed hallucinations, unsafe responses, tool-use failures, and instruction-following errors.
Sep 2024 - Present

Exceptional Software Engineer (Coding Agent Experience)

Pareto AI & micro1

Position summary
Exceptional Software Engineer (Coding Agent Experience) at Pareto AI & micro1
Industries
Information Technology
Business areas
Information Technology
Product Development
Quality Assurance
Research and Development
  • Conducted large-scale evaluations of frontier AI agents across complex software-engineering tasks, assessing reasoning quality, reliability, instruction following, and real-world task performance.
  • Analyzed multi-turn agent interactions to identify systematic failure modes including hallucinations, unsafe actions, tool-use errors, overconfidence, and reasoning breakdowns.
  • Developed evaluation frameworks and behavioral taxonomies used to benchmark AI systems, assess deployment readiness, and provide actionable feedback for improving model reliability and robustness.
Jan 2022 - Oct 2025
Redwood City, United States

Senior Data Scientist

Oracle

Position summary
Senior Data Scientist at Oracle
Industries
Information Technology
Utilities
Business areas
Business Intelligence
Information Technology
Research and Development
  • Led the design and fine-tuning of large language models for utility-focused customer and operator chatbots.
  • Architected a production RAG platform combining vector search, LLMs, and retrieval pipelines to improve answer quality and reduce hallucinations.
  • Defined model-validation and LLM-evaluation frameworks using human-in-the-loop and automated evaluators to assess response quality, factuality, usefulness, reliability, and robustness.
  • Built customer-level time series forecasting models for noisy energy data using a two-stage classification-to-prediction approach to improve accuracy and stability.
  • Developed customer inference and prediction models to estimate future behavior and likelihood of participating in demand-response programs.
  • Designed and deployed anomaly detection models to identify abnormal energy usage and potential equipment issues.
  • Built causal inference models to estimate the effect of notifications on customer engagement and energy reduction.
Sep 2018 - Dec 2021
Orlando, United States

Research Assistant

University of Central Florida

Position summary
Research Assistant at University of Central Florida
Industries
Education
Energy
Business areas
Information Technology
Research and Development
  • Developed a Conditional Variational Autoencoder (CVAE) for parameter estimation and model calibration in energy systems.
  • Built deep-learning models for time series forecasting using LSTM and Transformer architectures.
  • Built regression and classification models to predict energy consumption and system behavior from large-scale energy datasets.
Sep 2016 - May 2018
Tehran, Iran, Islamic Republic of

Machine Learning Engineer

Luxin Tech

Position summary
Machine Learning Engineer at Luxin Tech
Industries
Information Technology
Business areas
Business Intelligence
Information Technology
Product Development
Explore AI Engineer
  • Built and deployed machine learning models to analyze customer behavior and improve engagement.
  • Optimized data pipelines for real-time insights from large datasets.
  • Applied statistical analysis and predictive modeling to support product and business decisions.

Industry experience

See where this freelancer has spent most of their professional time.

Experienced in Information Technology, Utilities, Education, Energy, and Retail.

Information Technology
Utilities
Education
Energy
Retail
Profile match chart

Business area experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology, Research and Development, Business Intelligence, Product Development, and Quality Assurance.

Information Technology
Research and Development
Business Intelligence
Product Development
Quality Assurance
Profile match chart

Summary

Senior Machine Learning Engineer with 9+ years of experience building production ML and AI systems across conversational AI, recommendation and personalization, forecasting, anomaly detection, and model evaluation. Experienced in shipping customer-facing systems, leading LLM fine-tuning and RAG work, and designing evaluation and safety workflows for reliable AI agents.

Skills

Software & Data

  • Python
  • Sql
  • Backend Services
  • Data Pipelines
  • Real-Time Data Integration
  • Web Development
  • Typescript
  • Node.Js
  • Devops
  • Apis
  • Agentic Development
  • Claude Code
  • Codex
  • Antigravity
  • Opencode
  • Kiro

Machine Learning

  • Pytorch
  • Deep Learning
  • Time Series Forecasting
  • Anomaly Detection
  • Causal Inference
  • Recommendation Systems
  • Personalization

Applied Ai & Evaluation

  • Llm Fine-Tuning
  • Rag
  • Embeddings & Semantic Search
  • Agentic Ai
  • Prompt Engineering
  • Llm Evaluation
  • Llm-As-A-Judge
  • Ai Safety Evaluation
  • Adversarial Testing
  • Llm Observability

Languages

Persian
Native
English
Advanced
German
Intermediate

Education

Aug 2018 - Nov 2021

University of Central Florida

PhD in Electrical Engineering · Electrical Engineering · Orlando, United States

Aug 2011 - Aug 2013

Sharif University of Technology

MSc in Electrical Engineering · Electrical Engineering · Tehran, Iran, Islamic Republic of

Aug 2007 - Aug 2011

Shiraz University

BSc in Electrical Engineering · Electrical Engineering · Shiraz, Iran, Islamic Republic of

Statistics

Experience

Total positions 5
Experience in Information Technology 6.5 y
Avg length 2 y 3 m
Longest experience 3 y 9 m

Global experience

Countries worked in 2 (United States, Iran, Islamic Republic of)
Primary country United States

Expertise

Recent roles Senior Machine Learning Engineer, Exceptional Software Engineer (Coding Agent Experience), Senior Data Scientist
Main industries Information Technology, Utilities, Education
Main business areas Information Technology, Research and Development, Business Intelligence

Qualifications

Highest degree Doctorate

Profile

Member since
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Frequently asked questions

Have questions? Find more information here.

Rashid is based in Sunnyvale, United States.

Rashid speaks the following languages: Persian (Native), English (Advanced), German (Intermediate).

Rashid has at least 10 years of experience. During this time, Rashid has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 2 years and 11 months. Note that Rashid may not have shared all experience and actually has more experience.

Based on recent experience, Rashid would be well-suited for roles such as: Senior Machine Learning Engineer, Exceptional Software Engineer (Coding Agent Experience), Senior Data Scientist.

Rashid's most recent position is Senior Machine Learning Engineer at Walmart Labs.

In recent years, Rashid has worked for Walmart Labs, Pareto AI & micro1, Oracle, and University of Central Florida.

Rashid is most experienced in industries like Information Technology, Utilities, and Education. Rashid also has some experience in Energy and Retail.

Rashid is most experienced in business areas like Information Technology, Research and Development, and Business Intelligence. Rashid also has some experience in Product Development and Quality Assurance.

Rashid has recently worked in industries like Information Technology, Utilities, and Education.

Rashid has recently worked in business areas like Information Technology, Research and Development, and Business Intelligence.

Rashid holds a Doctorate in Electrical Engineering from University of Central Florida, a Master in Electrical Engineering from Sharif University of Technology and a Bachelor in Electrical Engineering from Shiraz University.

Rashid is immediately available part-time for suitable projects.

Daily rate distribution

0 2 4 6 8
<€400 €400-​800 €800-​1200 €1200+

The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

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Daily rate avg. 692 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 31 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.