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Vetted Data Ingestion Professionals

Pre-screened and vetted.

KJ

Executive AI Platform & Security Engineering Leader (CEO/CTO)

Seattle, WA13y exp
Aude.ai
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SM

Executive Engineering Leader specializing in scalable streaming, media supply chain, and AI operations

19y exp
DisneyUCLA

Tech executive with Disney experience who has repeatedly scaled and restructured engineering organizations (from 4 to 30 and up to 100+), using OKRs/KPIs to drive business-aligned roadmaps. Hands-on with architecture and platform strategy, including adopting MongoDB Atlas to centralize transactional data and building shared core services (security/permissions, auditing, compliance) to increase product velocity across distributed teams.

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GU

Engineering executive specializing in production ML systems and enterprise SaaS

San Francisco, CA26y exp
FLYRCarnegie Mellon University

Engineering/data platform leader from FLYR (airline ML forecasting and automated pricing) who built scalable ingestion/ETL and a canonical data model to onboard airlines with highly heterogeneous source systems. Created a golden-metrics layer for airline KPIs and implemented monitoring/backfill capabilities, cutting onboarding time by 50%+ while improving SLA performance and controlling cloud/ML training costs through stronger data quality gates.

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SB

Executive Engineering Leader specializing in AI, Cloud Platforms, and Personalization at scale

Los Gatos, United States31y exp
InformaticaUniversity of Louisiana at Lafayette
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CP

Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps

San Francisco, CA6y exp
PerplexityUniversity of North Texas
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SC

Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI

Orlando, FL11y exp
Scale AIFlorida State University
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BM

Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps

San Francisco, CA6y exp
Scale AISaint Louis University
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AT

Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms

Mesquite, TX12y exp
Rocket LawyerUniversity of Texas at Austin
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TC

Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services

San Francisco, CA6y exp
OpenAIWebster University
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YL

Senior Software Engineer specializing in cloud-native microservices and observability

Dublin, CA20y exp
OracleUniversity of Waterloo
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NS

Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference

New York city, NY4y exp
PerplexityCleveland State University
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RT

Rana Taki

Screened

Junior Mechanical Engineering & Software Developer specializing in aviation autonomy and retrieval systems

Stanford, CA2y exp
Stanford UniversityStanford University

Robotics/embedded builder who trained an aviation-specific LLM and deployed it offline on an NVIDIA Jetson for an in-flight voice assistant, solving performance and cabling constraints with NVMe storage and Bluetooth. Also has hands-on Raspberry Pi/Arduino robot builds (including a cigarette-butt picking prototype with hydraulic actuation) plus Docker-based FEA work using FEniCS/Gmsh and strong CI/CD + automated testing practices.

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NT

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference

San Francisco, CA6y exp
PerplexityUniversity of Nebraska Omaha

Backend/retrieval-focused engineer with production experience at Perplexity building a large-scale real-time Q&A system using retrieval-augmented generation, emphasizing low-latency, high-quality answers through ranking, context optimization, and caching. Also has orchestration experience from both product-facing LLM pipelines and large-scale infrastructure workflows at Meta, and has partnered with non-technical stakeholders to align AI trade-offs with business goals.

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MS

Mitul Sheth

Screened

Senior Engineering Manager specializing in cloud security and graph-based data platforms

Seattle, WA9y exp
SysdigCampbellsville University

Engineering leader at Sysdig Secure who pitched and prototyped a model data platform that initially got rejected, then proved value by migrating the CIEM offering and expanding adoption across multiple verticals. Now owns the CIEM suite plus the broader Sysdig Secure data and reporting platforms, manages 14 direct reports, and also leads a pilot AI team while remaining hands-on weekly.

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SS

Sai supriya

Screened

Mid-level AI/ML Engineer specializing in LLM alignment, safety, and scalable inference

St. Louis, MO7y exp
AnthropicSaint Louis University

Built and productionized an AWS-hosted, Kubernetes-orchestrated RAG assistant that enables natural-language Q&A over internal document repositories with grounded answers and citations. Demonstrates strong applied LLM engineering: hallucination mitigation, hybrid retrieval + re-ranking, and rigorous evaluation via benchmarks and A/B testing, plus real-world scaling of compute-heavy inference with dynamic batching and monitoring.

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HL

Hung-Chih Liu

Screened

Mid-level Distributed Systems & AI Infrastructure Engineer

Sunnyvale, CA3y exp
AmazonUCLA

Backend/full-stack engineer (Amazon experience) who built an AWS-based integration testing platform using Flask, ECS, Docker, and CloudWatch—cutting 1000+ test cases from ~5 hours to ~30 minutes while improving log visibility for non-engineering users. Also led a zero-downtime EU region migration with rigorous ORR testing, and built a Kinesis/Firehose/S3 + Glue/Spark replay mechanism for resilient data recovery. Side project: reproducible, cost-efficient LLM hosting platform on EKS using CDK and Karpenter for scale-to-zero.

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AR

Anagha Ram

Screened

Intern AI/ML Engineer specializing in NLP, LLMs, and semantic search

Los Altos, CA2y exp
Columbia UniversityCornell University

Built and deployed a production RAG-based semantic search and summarization system for large legal/technical document sets, owning the full backend (embeddings, vector store, chunking, prompting) and driving a reported 40–60% reduction in manual review time. Experienced with LangChain/LlamaIndex plus Airflow/Temporal-style orchestration, and applies rigorous evaluation/monitoring (A/B tests, drift detection, staged rollouts) to keep agentic systems reliable. Also partnered with a supply-chain manager at TE Connectivity to deliver an AI inventory recommendation tool projected to drive millions in value.

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DM

Dinesh Mishra

Screened

Executive AI Product Leader specializing in FinTech and agentic AI platforms

San Francisco, CA19y exp
PayzoMoney.aiVellore Institute of Technology

Fintech/neobank CTO (5+ years across US and UK markets) now building Payzo Money, a fintech copilot for SMBs covering expenses, accounting, invoicing, and payroll. Pre-revenue and seeking a $5M seed round, with active Bay Area conversations and a clear focus on bank sponsorship plus compliance/operations readiness; leverages Claude-based AI agents to accelerate building with limited resources.

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SG

Sai Gundeti

Screened

Mid-Level Backend Software Engineer specializing in distributed systems and billing platforms

San Francisco, California5y exp
UberUniversity of Cincinnati

Full-stack engineer with Uber experience building finance/billing reconciliation systems: shipped and owned an internal operations dashboard (Next.js App Router/TypeScript) that cut investigation time from hours to minutes and improved load time from ~6–7s to <2s. Deep in Postgres modeling and performance (sub-200ms optimized queries) plus durable event-driven workflow orchestration with idempotency, retries/backoff, DLQs, and reconciliation jobs; also has seed-to-Series C startup experience emphasizing end-to-end ownership.

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OJ

Ollie Jones

Screened

Executive Unity/XR Engineer specializing in real-time mocap and volumetric streaming

8y exp
Trickshot

Technical Director/Unity Lead who has shipped multiple Meta Quest immersive experiences and built custom Unity editor tooling to solve content-heavy pipeline constraints, enabling artists to push content directly into a Unity sandbox. Also prototyped a Unity restaurant simulation where an LLM drives NPC reasoning and state machines, using RAG and memory augmentation to reduce hallucinations and stuck behaviors.

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YG

Intern Machine Learning Engineer specializing in AI security and anomaly detection

Remote, CA2y exp
FordCarnegie Mellon University
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MS

Mid-level Software Development Engineer specializing in cloud platforms, data engineering, and LLM apps

Dublin, Ireland3y exp
AmazonGuru Gobind Singh Indraprastha University
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LG

Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/ML

Bellaire, OH8y exp
AmazonOhio University
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