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Vetted Mentoring Professionals

Pre-screened and vetted.

RK

Principal Technical Artist specializing in game art pipelines, tools, and character rigging

Chatsworth, CA27y exp
Respawn EntertainmentThe College of New Jersey
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PF

Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms

Remote12y exp
AnthropicUniversity of Wisconsin–Milwaukee
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LM

Principal/Senior Full-Stack Software Engineer specializing in scalable cloud platforms

Toronto, Canada13y exp
GreenshieldCarleton University
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AC

Executive Shipping & Logistics Leader specializing in international trade and revenue growth

Norfolk, VA19y exp
CMA CGMFlorida International University
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SM

Director-level QA leader specializing in test automation and Agile quality strategy

NYC, New York16y exp
AdvisrTexas A&M University
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EL

Senior Full-Stack Software Engineer specializing in Telehealth and FinTech

Santa Clara, CA11y exp
AmazonUCLA
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TB

Senior Software Engineer specializing in FinTech payments and scalable platforms

San Francisco, CA10y exp
StripeUniversity of Houston
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DD

Senior Software Engineer specializing in Python and AWS cloud backend systems

Austin, TX8y exp
Royal.ioUSC
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YF

Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI

Irvine, CA5y exp
AmazonUniversity of Chicago
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QG

Staff Software Engineer specializing in FinTech and scalable distributed systems

Menlo Park, CA12y exp
RobinhoodAugusta University
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PK

Director-level Strategy & Operations leader specializing in transportation and consulting

New York, NY8y exp
ViaDartmouth College
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SN

Sandeep Natu

Screened ReferencesStrong rec.

Executive Technology Leader (CTO/COO) specializing in Telecom, IT Delivery, and eGovernment platforms

Atlanta, GA19y exp
Contec Global GroupDevi Ahilya Vishwavidyalaya

Entrepreneurial operator who has started three revenue-generating startups for an employer and is now ready to found independently. Built and scaled a USSD-based lottery product in Nigeria by partnering with MTN, driving 10%+ uplift in gross turnover, and has hands-on experience validating market gaps via SMS/call-center surveys and launching pilots before scaling.

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TS

Tami Smith

Screened ReferencesStrong rec.

Executive HR & Compensation Leader specializing in board advisory and incentive design

Washington, DC14y exp
Federal Housing Finance AgencyGeorgetown University

HR operations and human capital leader with Department of Transportation experience who built an HR policy and training infrastructure from scratch (20 policies in a year), enabling ~25% organizational growth. Known for data-driven process optimization (cut processing time by 20 days and improved request responsiveness by ~20%) and for creating scalable manager enablement tools (HR toolkit/quick-reference guides) while aligning senior leadership and reducing overhead via FTE-to-contractor transitions.

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DT

Danielle Tisser

Screened ReferencesStrong rec.

Executive Marketing & Agency Transformation Leader specializing in global brand operations

Remote17y exp
Santho ConsultancyColumbia College Chicago

Operations-focused leader specializing in rebuilding and scaling marketing/product/commercial operating models during rapid growth and leadership change. Known for implementing integrated quarterly planning, intake/resourcing, and KPI reporting systems that de-silo teams (including B2B enterprise, sales, and marketing) and create predictable execution, clearer decision rights, and scalable operating rhythms.

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JQ

Jolie Qiu

Screened

Mid-Level Software Engineer specializing in AWS data infrastructure and pipeline automation

5y exp
AmazonUSC

AWS-focused software engineer who built a self-serve ETL pipeline scheduling service for non-engineers, including automated CloudFormation-based onboarding that cut setup time from 2–3 weeks to ~5 minutes. Strong in production reliability and customer-facing data platforms (EMR/DynamoDB/Lambda), with examples spanning pagination at scale, cross-table consistency, and phased rollouts to improve Parquet log SLAs.

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YL

Yanis Liaskos

Screened

Executive Technology Leader (CTO/CPO) specializing in AI, robotics, and warehouse automation

Atlanta, GA14y exp
FORTNAUniversity of Nottingham

VP/CTO-level leader who builds globally distributed engineering organizations and operating systems (SAFe, governance, real-time metrics) to align product, engineering, and executives. Drove a security modernization initiative in a robotics context using Achilles and Polaris, remediating vulnerabilities and upgrading libraries to achieve a cyber certification that was ahead of industry norms.

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DJ

Dave Jacoby

Screened

Executive Hospitality & Resort Development Leader specializing in fundraising and operations

Galveston, TX22y exp
Hotel LucineCornell University

Hospitality entrepreneur who founded and launched Hotel Lucine, a hotel resort in Galveston, TX, raising approximately $30M and opening in 2023. Led the venture end-to-end—from business model and investor pitches to entity structuring, deal docs, design/construction (including acting as primary general contractor), and ongoing operations spanning service standards, finance/capital strategy, brand, and event bookings.

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YS

Principal Partnerships & Business Development leader specializing in AI alliances and SaaS growth

San Francisco, CA22y exp
AdobeEastern Illinois University

Candidate explicitly states they focus on SaaS and software (not hardware/GPU infrastructure) and withdrew their application due to the role’s hyperscaler/AI infrastructure focus and screening criteria.

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KM

Kowshika M

Screened

Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety

Santa Clara, CA5y exp
NVIDIAOregon State University

AI/LLM engineer with production experience at NVIDIA, where they fine-tuned and deployed a financial-services chatbot and cut latency ~50% using TensorRT + NVIDIA Triton, scaling via Docker/Kubernetes. Also has consulting experience at Accenture delivering a predictive maintenance solution for a logistics network, bridging non-technical stakeholders with actionable dashboards.

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KT

Kenil Tanna

Screened

Staff-level Machine Learning Engineer specializing in LLMs and MLOps for Financial Services

New York, NY7y exp
JPMorgan ChaseIIT Guwahati

Machine learning/NLP practitioner at J.P. Morgan who led development of a production RAG system and an entity resolution pipeline for complex financial data. Deep hands-on experience with embeddings (Sentence-BERT), vector search (FAISS/pgvector), LLM fine-tuning (LoRA/PEFT), and rigorous evaluation (human-in-the-loop + A/B testing) backed by strong MLOps on AWS (Docker/Kubernetes, MLflow, Prometheus/Datadog).

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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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NR

Nikhil Reddy

Screened

Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms

San Francisco, CA5y exp
NVIDIASaint Louis University

Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.

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MR

Maria Ramirez

Screened

Senior Talent Acquisition Leader specializing in technical recruiting, DEI, and hiring operations

New York, NY13y exp
AmazonNYU

Recruiting leader with AWS LATAM experience managing teams of ~10 (up to 14) and personally owning executive searches for country leaders across Mexico, Chile, Peru, and Colombia. Led compensation benchmarking and package recalibration for new-country office launches (e.g., Argentina) and drove a major recruiting operating-model change to a centralized pod/virtual hiring approach to support rapid headcount growth.

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