Prakash Chaudhary

AI Researcher

Seattle, Washington, United States4 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed multimodal shopping agent boosting automation by 32%.
Created hierarchical models for earth science document tagging.
Led AI Fellowship tutorials, enhancing ML understanding.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in E-commerce and Research industries.

Contact

Skills

Core Skills

Large Language Models (llm)Machine LearningSystems DesignEarth ScienceTeachingComputer VisionData AnalysisRoboticsEngineering

Other Skills

AWSAgentsAmazon Web Services (AWS)Apache KafkaArtificial Neural NetworksAssistant TeachingAsyncBashC++Continuous Integration and Continuous Delivery (CI/CD)Data MiningData ScienceData StructuresDebateDeep Learning

About

Machine Learning Engineer with over 5 years of experience designing and deploying scalable end-to-end ML models, with expertise in building AI agents leveraging human-in-the-loop automation to drive measurable business impact.

Experience

4 yrs 8 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs 1 mo

Current Experience

Fetch

Machine Learning Engineer

May 2024 – Present · 2 yrs 1 mo · Seattle, Washington, United States · Remote

Developed and released internal alpha of multimodal shopping agent that answers shopping questions, plans personalized shopping lists, and maximizes offer value
Built production LangGraph multi-agent orchestrator with in-context learning, recovering $15M ARR through 32% full automation via LLM-as-a-Judge guardrails at 97% accuracy, human-in-the-loop routing, and continuous learning from corrections to boost catalog match rate by 3-5%
Developed 3-agent annotation workflow using LangGraph to replace double-annotation with human-LLM agreement system, reducing 2nd annotator workload by 60% while maintaining dataset quality through human tie-breaking on disagreement cases for product matching models
Developed RAG-based LLM solution to automatically flag incorrect product matches at 95% recall, streamlining quality team's review process to efficiently catch and correct brand mismatches in ML predictions

GrafanaApache KafkaLarge Language Models (LLM)Large Language Model Operations (LLMOps)LangChainLangGraph+6

Fusemachines

6 roles

Teaching Assistant

Sep 2023 – Mar 2024 · 6 mos · New York, New York, United States · Remote

Supported 50+ AI Fellowship participants in Latin America with ML and AI fundamentals.
Led tutorials and recitations, simplifying technical topics for diverse learners.

Machine LearningPython (Programming Language)Data ScienceAssistant TeachingMLOpsDeep Learning+2

Lecturer

Jan 2023 – May 2023 · 4 mos

- Taught Computer Vision in the AI Fellowship program, designing engaging lectures and tutorials to bridge theory and industry practice.

Computer VisionOpenCVPyTorchTeaching

Teaching Assistant

Mar 2022 – Jan 2023 · 10 mos

- Led recitation sessions and research paper discussions for ML and Deep Learning courses, supporting fellows in mastering both theory and practical applications.

Machine LearningAssistant TeachingPyTorchPython (Programming Language)Deep LearningTeaching

Machine Learning Engineer Level III

Promoted

Jan 2022 – May 2022 · 4 mos

- Explored and quantified product cannibalization effects for retail fashion, delivering actionable insights for merchandising strategies.

Amazon Web Services (AWS)PyTorchSQLMachine LearningData Analysis

Machine Learning Engineer Level I

Jan 2021 – Dec 2021 · 11 mos

Led efforts to build an ensemble model to classify fashion products into Kate Spade’s four customer segments using computer vision and scipy optimize, achieving 62% accuracy
Developed multi-modal contrastive learning pipeline using CLIP-inspired architecture to combine image and time-series data for accurate sales forecasting of new product launches

Amazon Web Services (AWS)SQLPyTorchLeadershipComputer VisionMachine Learning

Machine Learning Engineer Associate

Feb 2020 – Dec 2020 · 10 mos

Developed an in-house recommendation system using Factorization Machine model, AWS EC2 and Lambda, achieving ranking metrics comparable to with AWS’s recommendation engine
Implemented Multi-Quantile RNN-based sales forecasting model for Coach fashion, reducing stock outs by 30%

Amazon Web Services (AWS)SQLPyTorchTime Series ForecastingComputer VisionMachine Learning+1

Nasa-impact

Graduate Research Assistant

Aug 2022 – Apr 2024 · 1 yr 8 mos · Huntsville, Alabama, United States · On-site

Developed a hierarchical classification model to automate the tagging of earth science documents, accelerating project delivery and metadata quality.
Designed a machine learning pipeline for spectral signature analysis, enabling precise identification of material composition in mixed-substance samples.

Earth SciencePython (Programming Language)Amazon Web Services (AWS)PyTorchMaterial scienceHyperspectral Imaging+1

Styldod, inc

Machine Learning Consultant

Jun 2022 – Sep 2022 · 3 mos · Bengaluru, Karnataka, India

- Researched on the virtual staging pipeline for real estate, applying machine learning models to automate and enhance image processing workflows.

Computer VisionMachine LearningPyTorchPython (Programming Language)TransformersGenerative Adversarial Networks (GANs)

Betterhalf.ai

Machine Learning Engineer

Nov 2019 – Feb 2020 · 3 mos · Bengaluru, Karnataka · On-site

- Developed user attribute prediction and computer vision models to streamline onboarding for a matchmaking app.

SQLPython (Programming Language)Predictive ModelingDeep LearningComputer VisionMachine Learning

Robotics club, ioe pulchowk campus

Robotics Engineer

Sep 2016 – Jun 2019 · 2 yrs 9 mos · Pulchowk, Lalitpur · On-site

Represented Nepal at ABU Robocon 2017 (Japan) and 2018 (Vietnam).
Created PID controllers for velocity control of holonomic robots.
Developed a double differential drive line-tracking robot for high-speed racing.
Designed, fabricated, and tested electrical circuits, and programmed embedded control systems for robot navigation.

C++KinematicsProportional-Integral-Derivative (PID)Printed Circuit Board ManufacturingRoboticsEngineering