Vetted Scalability Professionals

Pre-screened and vetted.

HG

Executive Technology Leader specializing in AI, cloud, and enterprise transformation

14y exp
JPMorgan ChaseTexas Tech University
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CL

Director-level Technical Program & Engineering Leader specializing in global platforms, AI automation, and infrastructure

Herndon, VA16y exp
AmazonUniversity of Manchester
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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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Mazhar Haq - Senior AWS Cloud Architect and Technical Leader specializing in security, migrations, and cost governance in Santa Monica, CA

Mazhar Haq

Screened ReferencesStrong rec.

Senior AWS Cloud Architect and Technical Leader specializing in security, migrations, and cost governance

Santa Monica, CA26y exp
AmazonCalifornia State University

Infrastructure/platform engineer with strong AWS and hybrid on-prem networking depth, spanning Kubernetes platform engineering (IaC, autoscaling, GitOps, observability) and large-scale VMware operations. Managed thousands of VMs across 56 US military bases/airports and has resolved real production hybrid incidents involving BGP/Direct Connect route advertisement and prefix-limit constraints.

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Manaswini Gogineni - Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development in San Francisco, CA

Manaswini Gogineni

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development

San Francisco, CA2y exp
CiscoUniversity of Wisconsin–Madison

Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.

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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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Brayden Tremper - Senior Software Engineer specializing in game UI systems and gameplay features in Olympia, WA

Senior Software Engineer specializing in game UI systems and gameplay features

Olympia, WA4y exp
NetflixOregon State University

Unity/C# game engineer with hands-on ownership of live-service systems, including a real-time multi-channel chat feature for Squid Game: Unleashed that launched alongside Squid Game Season 2 on Netflix and increased player retention and engagement. Brings a strong blend of mobile performance optimization, server-authoritative architecture, multiplayer systems, and practical experimentation with LLM-assisted narrative tooling.

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Amrita Pritam - Senior Backend Engineer specializing in distributed microservices and event-driven systems in Fremont, CA

Amrita Pritam

Screened

Senior Backend Engineer specializing in distributed microservices and event-driven systems

Fremont, CA10y exp
MicrosoftManipal Institute of Technology

Backend engineer with production experience building a high-scale notification pipeline (~20M/day) using Java/Dropwizard with Kafka and Azure Queue, including DLQ/poison-message handling and the outbox pattern for reliability. Also led a batch-based migration of Yammer Messaging user data from PostgreSQL to Azure Cosmos DB for global multi-region scale, addressing throttling and network failures via retries, escalation policies, and dynamic throughput tuning.

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BhanuPrasad Pothagani - Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems in Bay Area, CA

Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems

Bay Area, CA5y exp
MetaFlorida Institute of Technology
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RK

Senior Backend Engineer specializing in scalable AWS serverless and data pipelines

Sunnyvale, CA9y exp
AmazonUniversity of Oregon
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AS

Director-level engineering leader specializing in cloud platforms and distributed systems

Los Angeles, CA20y exp
AmazonThangal Kunju Musaliar College of Engineering
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JC

Mid-level Full-Stack Software Engineer specializing in distributed systems and GenAI platforms

Seattle, WA5y exp
AmazonSan Francisco State University
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JT

Senior HR Business Partner specializing in M&A and global scaling

8y exp
Grid ImpactNorthwestern University
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JW

Executive Marketing Leader specializing in growth acceleration and digital transformation

Rumson, NJ22y exp
RakutenUniversity of Pittsburgh
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DJ

Dimple Joseph

Screened

Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization

Redwood Shores, CA25y exp
OracleThe University of Texas at Arlington

Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.

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MG

Executive Technology Leader specializing in Generative AI, platform architecture, and digital transformation

Austin, TX14y exp
ExpediaSaint Joseph's University

Engineering/technology leader with experience at Expedia and startup OneRail, known for building business-aligned technology roadmaps and scaling orgs rapidly (11 to 120 engineers in a year). Has driven large productivity and efficiency gains by operationalizing AI agents (code reviews, upgrades, security fixes) and implementing ChatOps-based deployment architecture, using data-driven experimentation to manage platform changes and conversion impacts.

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CH

Senior Unity/Full-Stack Engineer specializing in distributed systems, VR, and AI/LLM integration

Springdale, AR13y exp
TectonUSC

Unity/C# gameplay engineer who has shipped a modular, data-driven combat ability system with strong measurable outcomes (≈80% fewer GC allocations, 15–20% better frame times, 10–12% higher early retention). Also integrated an LLM-driven NPC dialogue/quest hint system with a C#/.NET backend, caching/guardrails, and telemetry-driven iteration, and shipped Photon PUN real-time 4-player co-op plus a shared codebase across Meta Quest VR and iOS/Android.

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Eshna Gupta - Intern Software Engineer specializing in full-stack development and machine learning in Menlo Park, CA

Intern Software Engineer specializing in full-stack development and machine learning

Menlo Park, CA3y exp
MetaUSC
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Paraskevas Apostolopoulos - Senior Technical Program Manager specializing in geospatial platforms, APIs, and ML data operations

Senior Technical Program Manager specializing in geospatial platforms, APIs, and ML data operations

14y exp
TomTomUniversity of San Francisco
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JT

Senior Software Engineer specializing in distributed backend systems and AWS

Sunnyvale, CA10y exp
AmazonSan José State University
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OI

Staff/Lead Software Engineer specializing in cloud platforms, GraphQL APIs, and GenAI

California, USA11y exp
AvalaraUC San Diego
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