Vetted Data Ingestion Professionals

Pre-screened and vetted.

Shailaja Domala - Executive product and AI leader specializing in data platforms and analytics in California, USA

Executive product and AI leader specializing in data platforms and analytics

California, USA24y exp
CerenityCornell University

Engineering leader with deep experience at Visa building and modernizing large-scale analytics platforms, including refactoring legacy systems into globally available microservices on AWS. Combines hands-on technical judgment in architecture, search platform evaluation, and service reliability with management of distributed international engineering and data teams.

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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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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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Nishitha Thummala - Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference in San Francisco, CA

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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Mitul Sheth - Senior Engineering Manager specializing in cloud security and graph-based data platforms in Seattle, WA

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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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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Kunj Amrutbhai Patel - Mid-level Software Engineer specializing in distributed backend systems on AWS in Seattle, WA

Mid-level Software Engineer specializing in distributed backend systems on AWS

Seattle, WA4y exp
AmazonTrine University

Built production systems in the AWS ecosystem, including an internal AI assistant for diagnosing account transfer and permissions issues and an end-to-end account transfer workflow used by enterprise customers. Stands out for combining LLM/RAG design with strong distributed systems reliability practices, emphasizing guardrails, fallbacks, and operational trust in high-stakes workflows.

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AD

Ada Demir

Screened

Executive healthcare operations leader specializing in transformation and supply chain

New Hampshire, USA30y exp
Dartmouth HealthGeorge Washington University

Healthcare systems leader with unusually broad provider-side experience spanning operations, finance, revenue cycle, supply chain, and strategic planning. Combines executive finance exposure—M&A support, bond offerings, debt reporting, IPO-related work, and FEMA/DOH coordination—with hands-on operating leadership, including recovering $350M in COVID relief funds and helping drive a turnaround that produced $90M in revenue plus $45M in savings within 6 months.

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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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TD

Thuc Duong

Screened

Senior Data Engineer specializing in AI-driven GTM analytics and LLM evaluation

Long Island City, NY5y exp
MetaTemple University

Data/analytics engineer who stood up foundational pipelines and services at Meta for the Ray-Ban Meta launch—building a retailer sales ingestion system (S3/Hive) with rigorous DQ checks, 1-day SLAs, and dimensional rollups used by GTM to track sales trends. Also built a modular multi-retailer web-scraping system for out-of-stock alerts and shipped internal GraphQL APIs and an n8n-like workflow builder using serverless (AWS Lambda) with strong testing and observability practices.

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

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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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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Yutong Guo - Intern Machine Learning Engineer specializing in AI security and anomaly detection in Remote, CA

Intern Machine Learning Engineer specializing in AI security and anomaly detection

Remote, CA2y exp
FordCarnegie Mellon University
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RB

Senior AI/ML Engineer specializing in scalable cloud ML systems

Seattle, WA14y exp
BCGPortland State University
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SR

Mid-level Machine Learning Engineer specializing in LLMs and RAG systems

San Francisco, CA5y exp
Scale AIUniversity of New Haven
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Xiangyu Wang - Senior Product and Data Leader specializing in AI, experimentation, and e-commerce growth in Remote, NC

Senior Product and Data Leader specializing in AI, experimentation, and e-commerce growth

Remote, NC15y exp
Museum IslandDuke 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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SA

Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics

San Jose, CA5y exp
CorsairSan José State University
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WM

Principal Software Engineer specializing in cybersecurity distributed systems

Ridgewood, NY12y exp
Palo Alto NetworksBoston University
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