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Vetted Performance Optimization Professionals

Pre-screened and vetted.

AW

Senior Software Engineer specializing in scalable web applications

14y exp
SmartsheetUniversity of South Alabama
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PP

Senior HR Business Partner specializing in Sales & GTM organizations

Avenel, NJ13y exp
AmazonFORE School of Management
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RC

Senior Front-End/Full-Stack Engineer specializing in cloud-native SaaS and enterprise web apps

11y exp
NorthStandard
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MO

MichaelJose Oakes

Screened ReferencesStrong rec.

Senior Unity/XR Engineering Manager specializing in real-time interactive and multiplayer experiences

9y exp
UnityUniversity of Hull

Unity Technologies engineer with direct Meta subcontract experience shipping Quest titles (Horizon Worlds projects like Super Rumble) and supporting third-party studios. Strong in VR performance optimization and modernization work—porting legacy OVR/older-Unity projects to OpenXR, URP, and hand-tracking inputs. Built a master’s dissertation cross-platform multiplayer FPS spanning Quest VR, PC, and mobile AR using Photon.

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RD

Director-level Engineering Leader specializing in Payments and Financial Services

Edison, New Jersey21y exp
ZelleIIT Madras

Senior Director-level engineering leader from Zelle who built a multi-year cloud and use-case expansion roadmap (e.g., SMB and brokerage funding) aligned to an aggressive growth target (from $1.2T to $5T in 5 years). Experienced scaling an engineering org from ~25–30 people into domain-driven pods and leading audit/compliance remediation (OCC, SOC 2, PCI) through security and infrastructure reengineering, including multi-region/multi-zone architecture.

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NK

Engineering Manager specializing in mobile monetization and consumer apps

Bay Area, CA13y exp
GrindrIllinois Institute of Technology

Engineering Manager/Tech Lead on Grindr’s monetization team who helped ship an AI-powered conversation summary feature (A-list), contributing across Android freemium implementation and backend LLM workflow service architecture/reviews. Demonstrated strong operational ownership by leading a Boost production incident from detection through rollback and prevention, and improved team throughput by introducing a lightweight end-to-end delivery process in a high-growth environment.

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BS

Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms

Remote, USA4y exp
NetflixUniversity of Dayton

Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.

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KV

Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices

San Francisco, CA5y exp
MetaUniversity of Texas at Arlington

Backend engineer with experience at Meta and Accenture building regulated-data systems (healthcare/financial) using Python/Flask and Postgres. Has scaled high-throughput services to millions of daily requests, delivering measurable latency wins (~40% API latency reduction; ~35% faster DB-backed endpoints), and has productionized ML inference services using Docker/Kubernetes and AWS (ECS/SageMaker).

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AW

Adam Wermus

Screened

Senior Data Engineer & Render Tools Developer specializing in VFX and render farm pipelines

Santa Monica, CA7y exp
FavoritedUniversity of Bradford

Real-time simulation/physics engineer who optimized character effects and cloth for the "Infinity" game by implementing and profiling multiple ODE integrators, including pioneering the largely undocumented Parker-Sochacki method (optimized 5/7 sims; >30% speedup on a particle system). Also built SPH fluid solvers in Unity (C#) and created Grafana/Python Dash dashboards to analyze latency/throughput, with strong interest in applying math/physics and tooling to soccer/football gameplay.

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SK

Sandra Keller

Screened

Principal-level Global Program Manager & Strategy Consultant specializing in international development

New York City, NY17y exp
Keller ConsultingIE Business School

International development program manager with experience across major institutions (World Bank, McKinsey, Deloitte) and multi-country complex programs, including multi-million-dollar US government finance projects. Known for driving executive alignment and accountability through data-driven messaging, disciplined follow-up cadences, and productivity tooling/process improvements (e.g., Asana).

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JK

Jehanzeb Khan

Screened

Director-level Engineering Manager specializing in large-scale data and compute platforms

Sunnyvale, CA20y exp
AmazonInstitute of Business Administration

Platform and distributed-systems leader (player-coach) who owned architecture and reliability for an Amazon analytics/data platform serving ~100K internal users at exabyte scale. Built an ML-driven “Lakeflow” optimization layer that cut pipeline completion times ~20–25% and reduced compute waste >15%, and led major incident response/redesign efforts (e.g., deletion storm) with strong rollout/observability/rollback practices.

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TM

Mid-level Reliability Engineer specializing in incident response and LLM-driven support automation

Palo Alto, USA4y exp
PalantirNYU

Customer Success Services / Support professional working on Palantir Foundry who productionizes customer integrations (secure OAuth2, scheduled pipelines) and builds LLM-driven support automation (runbook matching) with monitoring and evaluation suites. Also leads developer workshops/demos on Foundry packaging/installation workflows, using live debugging techniques to make concepts concrete.

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CD

Chris Du

Screened

Intern Full-Stack Software Engineer specializing in web apps and AI systems

Mountain View, CA0y exp
BoschCarnegie Mellon University

Product/UX designer who builds end-to-end systems across both consumer wellness and industrial/technical domains. Designed BloomPath (mental-wellness platform for therapists and young professionals) using research-driven, emotionally safe interaction patterns, and also simplified a Bosch autonomous parking vision-language mapping pipeline into a developer-facing real-time UI with layered debug tooling. Comfortable collaborating deeply with engineers and contributing in React/JS.

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SS

Mid-level Software Engineer specializing in AR/VR accessibility

Cupertino, CA4y exp
AppleUniversity of Rochester

Spatial computing software engineer focused on making Apple Vision Pro/visionOS accessible, including building VoiceOver and Live Captions features. Debugged a complex Live Captions issue involving dual audio inputs during FaceTime screen sharing by leveraging iOS implementation docs and creating concurrent audio sources; also has safety-critical testing experience from train control systems and is interested in pivoting into robotics.

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AK

Azaan Khalfe

Screened

Intern Software Engineer specializing in cloud backend and distributed systems

Redmond, WA0y exp
MicrosoftUniversity of Washington

Internship experience deploying cloud-based services into production, including navigating security/resource provisioning and coordinating approvals across impacted teams. Built a Python backend for a local Ollama-based app using open-source models, and has hands-on distributed systems experience implementing and debugging Paxos with extensive logging/state tracing.

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SB

Mid-Level Full-Stack Engineer specializing in Java microservices and cloud-native systems

Remote, USA6y exp
NetflixMissouri University of Science and Technology

Backend/platform engineer with hands-on ownership of Python services (Postgres/Redis/Celery) and measurable performance gains (~20–25%). Strong Kubernetes + ArgoCD GitOps experience delivering zero-downtime rollouts, plus led key reliability fixes (readiness probes, immutable tagging) and supported an on-prem to AWS migration using CDC replication and ALB traffic shifting; also built Kafka real-time analytics pipelines with schema registry.

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VM

Vishal Mittal

Screened

Director-level Engineering Manager specializing in cloud security platforms and AI-driven automation

Fremont, CA18y exp
Palo Alto NetworksStanford University

Senior engineering leader in the Bay Area with experience spanning VMware, Hortonworks/Cloudera, Barracuda, and Palo Alto Networks, including leading open-source work (Apache Knox) and architecting large-scale security platforms. Has driven disaster recovery and cloud security products, designed Python microservices for Microsoft 365 security, and scaled teams (3x) while formalizing enterprise readiness practices with automated documentation using Notebook LLM.

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AG

Akshit Gaur

Screened

Mid-level AI Engineer specializing in agentic LLM systems

Mountain View, CA3y exp
Carnegie Mellon UniversityCarnegie Mellon University

Built and productionized a dual-agent LLM invoice-processing system for GFI Partners, adding guardrails and audit trails to earn stakeholder trust and drive adoption while cutting operational burden by 75%. Uses LangSmith observability to diagnose real-time workflow regressions and has experience teaching agentic AI concepts (e.g., at Carnegie Mellon) through hands-on, scaffolded demos.

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SS

SHREYA SINHA

Screened

Intern Robotics Engineer specializing in autonomous systems and perception

Austin, TX0y exp
VisaUC Berkeley

Robotics software candidate with hands-on ROS2 experience building an autonomous UR7e cake-decorating robot, owning trajectory planning from perception-driven design selection through IK-based waypoint execution. Also optimized a depth-camera object-detection system for assistive glasses (doubling FPS from ~5 to ~10) and is currently exploring distributed Raspberry Pi robot networking to emulate satellite-style handoffs.

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MM

Mason McBride

Screened

Junior Software Engineer specializing in AI, game theory, and blockchain protocols

Los Angeles, CA2y exp
All In BitsUC Berkeley

Backend engineer who built gnocal, a ~150-line stateless Go service that turns on-chain event data into standards-compliant .ics calendar feeds consumable by Apple/Google Calendar, deployed on Fly.io. Also refactored MCTS into Monte Carlo Graph Search (Python-to-Rust) using deterministic tests and state canonicalization to handle transpositions, and implemented decentralized role-based ACLs in Gno for a smart-contract web hosting network (gno.land / All in Bits).

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KA

Kyle Arch

Screened

Senior Backend Software Engineer specializing in API development and SaaS platforms

Bakersfield, CA13y exp
DropboxCal Poly San Luis Obispo

Backend-leaning engineer with experience at Dropbox, Wayfair, and Etsy who has led cross-product integrations and internal platform tooling. Re-architected a legacy promo code system from a PHP monolith to a Java/Spring Boot microservice achieving a 99% execution-time reduction, and built a React/TypeScript + Supabase product (press.social) with LLM-powered bulk parallel generation and a path to multi-tenancy.

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PM

Mid-Level Full-Stack Java Engineer specializing in cloud-native web applications

Bellevue, WA6y exp
SnowflakeUniversity of Texas at Arlington

Full-stack engineer (Snowflake) who shipped an AI/LLM-powered data exploration product end-to-end, spanning Spring Boot/Python services and a polished React UI with streaming responses and robust fallbacks. Experienced operating high-scale AWS deployments (Docker/Kubernetes, SNS/SQS, RDS Postgres, CloudWatch, Jenkins CI/CD) supporting thousands to tens of thousands of concurrent users, including handling real traffic-spike scaling incidents.

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KW

Keith Webster

Screened

Senior Technical Designer specializing in gameplay systems and Unreal Engine

Electronic Arts

Player Experience developer on Madden who shipped player-facing Weekly Recap and Halftime Show flows built in visual scripting, including a custom solution to keep full-screen UI persistent across level loads with strong logging and failsafes. Also builds networked UE co-op ARPG systems (talent trees, combat/animation, leveling/stats, AI, dynamic spawning) and has a track record of refactoring shared UI/banner logic into scalable prefabs to reduce bugs and improve team workflow.

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JY

Intern Product Manager & Software Engineer specializing in data analytics and AI

Redmond, WA2y exp
MicrosoftUSC
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