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Vetted Retrieval-Augmented Generation (RAG) Professionals

Pre-screened and vetted.

SV

Mid-level AI/ML Engineer specializing in LLMs, NLP, and scalable ML pipelines

CA, USA4y exp
ServiceNowSan José State University
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RV

Mid-level Data Scientist specializing in ML, NLP, and production AI workflows

5y exp
Johnson & JohnsonUniversity of Massachusetts Dartmouth
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CT

Senior Support Engineer specializing in AI Search, LLMs, and Document Intelligence

Santa Clara, CA7y exp
ServiceNowGujarat Technological University
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MK

Mid-Level Full-Stack Software Engineer specializing in modern web apps and microservices

Los Angeles, CA5y exp
University of Southern CaliforniaUSC
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DG

Senior Software Engineer specializing in AI agents, RAG, and enterprise search in Financial Services

Dallas, TX4y exp
Goldman SachsUniversity of Texas at Dallas
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SK

Mid-Level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications

FL, USA4y exp
ServiceNowFlorida Atlantic University
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AS

Senior Software Engineer specializing in event-driven microservices and GenAI for payments

United States5y exp
PayPalUniversity of Illinois Springfield
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BG

Staff-level AI/ML Engineer specializing in enterprise RAG, agentic automation, and AI governance

Remote, Palo Alto, CA12y exp
GleanUniversity of North Florida
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AS

Senior Software Engineer specializing in distributed AI/ML and GenAI platforms

United States9y exp
IntuitSan José State University
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JJ

Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms

Remote15y exp
DisneyRutgers University–Newark
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DS

Mid-level Full-Stack Engineer specializing in AI-native cloud systems

4y exp
Johnson & JohnsonUniversity at Buffalo
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KK

Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI

New York, NY7y exp
JPMorgan Chase
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AM

Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines

Philadelphia, PA11y exp
CoverMyMeds
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KP

KrishnaVarshith Pabbisetty

Screened ReferencesStrong rec.

Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI

Bay Area, CA4y exp
TemenosSan José State University

Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.

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TH

THAMES HARRISON

Screened ReferencesStrong rec.

Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML

Gainesville, FL17y exp
Cornerstone OnDemandUniversity of Florida

Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.

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RO

Rafael Ortega

Screened ReferencesStrong rec.

Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems

Remote (Texas)8y exp
BlocUnitedNew Mexico Tech

Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.

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NC

Nightvid Cole

Screened ReferencesStrong rec.

Senior Computer Vision & Sensor Algorithms Engineer specializing in imaging systems

Saratoga, CA7y exp
Early-Stage StartupUniversity of Maryland, College Park

Robotics/remote-sensing software engineer who built and validated multisensor image-processing and spectral chemical-detection pipelines (RX anomaly detection, ACE), including calibration protocols with a motorized shutter and rigorous data QC. Uses white-box NumPy simulators to debug SLAM/registration issues before translating logic to C++, and partnered with hardware teams to solve temperature-driven signal variation via combined software calibration and improved thermal management.

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AP

Andres Pegado Boureghida

Screened ReferencesStrong rec.

Engineering executive specializing in cloud-native SaaS for data-intensive, regulated domains

Chicago, IL12y exp
Walker & DunlopIllinois Institute of Technology

Former CTO at Enodo who led development of programmatic parsers to extract unstructured data from real-estate financial documents (rent rolls and T12s), validating with users via prototypes before productionizing. Emphasizes accuracy-driven engineering and scalable test-suite growth based on real user samples, and has experience scoping complex product ideas (e.g., browser-based narrative editor) down to an MVP.

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MS

Senior Machine Learning Engineer specializing in MLOps and Generative AI

St. Louis, Missouri7y exp
Emerson
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TL

Senior Software Engineer specializing in ML/AI and scalable data platforms

San Jose, CA11y exp
LabelboxNational University of Singapore
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YR

Mid-level AI/ML Developer specializing in FinTech fraud detection and GenAI assistants

MO, USA4y exp
Edward JonesUniversity of Central Missouri
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