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Vetted Agile Professionals

Pre-screened and vetted.

AgilePythonCI/CDDockerGitJavaScript
BH

Brett Higgins

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

Dallas, TX13y exp
Kamet Consulting GroupUniversity of Texas at Austin
ReactReact NativeNext.jsAngularReduxTypeScript+124
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AS

Amareswara Surapuraju

Mid-level Software Engineer specializing in real-time backend systems and FinTech payments

San Francisco, CA6y exp
StripeWebster University
PythonFastAPIDjangoFlaskSQLAlchemyJava+151
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AB

Anirudh Belwadi

Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures

Bellevue, WA2y exp
AmazonCarnegie Mellon University
JavaPythonTypeScriptReactFlaskSpring Boot+60
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JL

Jack Livingston

Senior Software Engineer specializing in Python, cloud microservices, and conversational AI

Chapel Hill, NC11y exp
GoogleUniversity of North Carolina at Chapel Hill
PythonDjangoFastAPIFlaskGoNode.js+96
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KV

Kaushal Verma

Executive CIO/CTO specializing in enterprise digital transformation and cloud modernization

Dallas, Texas33y exp
DXC TechnologyUniversity of Texas at Dallas
AgileAWSBudgetingChange ManagementCRMDevOps+59
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JS

Joey Scales

Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems

Austin, TX11y exp
RampLehigh University
AgileArgo CDAudit LoggingAWS LambdaCeleryCypress+108
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TM

Thomas Maxwell

Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce

San Jose, CA11y exp
AmazonGeorgia Tech
AgileAngularApache AirflowApache HadoopApache KafkaApache Spark+268
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PB

Panagiotis Belias

Mid-level Management Consultant specializing in banking, financial modeling, and AI enablement

Amsterdam, Netherlands5y exp
Athena StudiesLondon School of Economics and Political Science
AgileHTMLJavaScriptPythonSQLAgile Operating Model Design+23
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RN

Ram Naresh Goud Balagani

Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems

USA5y exp
ShopifyCalifornia State University
A/B TestingAgileAmazon EC2Amazon S3Apache HiveApache Kafka+111
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PK

Paul Kasinski

Screened ReferencesStrong rec.

Executive CIO/CTO specializing in enterprise transformation across retail, e-commerce, and AI

Santa Monica, CA17y exp
AspirixDuke University

“Senior technology executive (CTO/SVP Technology, also board member) with experience modernizing legacy environments and scaling teams in high-growth and PE-owned contexts. Architected a standardized enterprise platform (ERP/WMS/CRM/POS/eComm/DWH/BI/integration) to rapidly migrate acquisitions—moving 7 companies in under 3 years and cutting migration timelines ~4x—while also driving major org redesign and hiring acceleration (30+ hires in 6 months).”

Change ManagementData WarehousingE-commerceMentoringProgram ManagementSaaS+102
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PG

Peter Gluck

Screened ReferencesStrong rec.

Principal Software Engineer specializing in scalable, secure multi-platform systems

La Crescenta, CA14y exp
AuctaneUSC

“Engineering leader and former CTO/Disney|ABC engineering manager who built white-label mobile app architecture that supported a branded app and successful exit, and later scaled Disney Channel brand app teams across iOS/Android/web and major OTT platforms. Led kid-safety architecture for DisneyNOW (“Junior mode” with PIN) and partnered with product/legal on COPPA compliance, emphasizing maintainable tech choices and strong execution processes.”

Strategic PlanningAgileCC#C++JavaScript+231
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JS

Joshua Seiden

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in emerging tech commercialization

Centennial, Colorado33y exp
AT&TUniversity of Colorado Boulder

“Startup operations/product advisor and long-time accelerator mentor who has helped multiple early-stage companies become enterprise-ready—shifting teams to customer-driven roadmaps and implementing CI/Agile delivery processes. Notably supported an Israeli company in landing a Fortune 30 customer before it later IPO’d on NASDAQ, and helped an Australian startup operationalize delivery to secure deployment with a major telecom and sports league.”

AgileBudget managementComputer visionMachine learningProgram managementRobotics+100
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AD

Anirudha Deo

Screened

Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms

San Jose, CA23y exp
GoogleNagpur University

“Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.”

AJAXAuthorizationCI/CDCloud ComputingCloud-Native ArchitectureCode Reviews+173
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AI

Asif Iqbal

Screened

Executive Digital & Technology Leader specializing in global platform modernization

Tempe, AZ32y exp
MobivityUniversity of Michigan

“Explored a digital notarization startup concept in 2020 that stalled due to COVID-era inability to secure VC seed meetings; later saw the market validate the idea via a comparable acquisition (~$57M, per candidate). Now more interested in driving innovation and simplifying complex customer experiences within an established organization, using a highly structured, metrics-driven product execution approach.”

Cloud-native architectureE-commerceProduct managementCost optimizationBudget managementRisk management+95
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CC

Christopher Chu

Screened

Senior Backend Engineer specializing in distributed systems and cloud microservices

Beaverton, Oregon11y exp
NikeUC San Diego

“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”

AgileAPI DesignArgo CDAsynchronous ProcessingBatch ProcessingCI/CD+136
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AM

Akhil Maram

Screened

Senior Data Engineer specializing in real-time data platforms and lakehouse architectures

Parker, CO8y exp
AirbnbLindsey Wilson College

“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”

PythonSQLScalaJavaPostgreSQLMySQL+117
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JF

Jeffery Faneuff

Screened

Executive Engineering Leader specializing in AI-driven SaaS and IoT platforms

Los Angeles, CA22y exp
VantivaBabson College

“Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.”

AgileAndroidAngularJSApache TomcatAWSAWS CloudFormation+163
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DN

Dennis Noto

Screened

Executive Technology & Security Leader specializing in FinTech, AI platforms, and enterprise modernization

Denver Metro Area36y exp
Etana CustodyUniversity of Oklahoma

“Technology transformation leader who builds board-approved roadmaps and scales engineering orgs with strong Agile execution. Led large modernization efforts (e.g., Scottrade: 3,000 programs/4M LOC in 18 months) and scaled POCs into enterprise SaaS platforms using Docker, Kubernetes, Helm, and Terraform for high-concurrency workloads.”

AgileAWSBatch processingCC#C+++266
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NN

Noman Nawaz

Screened

Senior PMO Consultant specializing in regulatory compliance and technology modernization

New York, NY5y exp
MassMutualUniversity of Pennsylvania

“PMO consultant with experience delivering regulatory and compliance-driven programs across financial services and government healthcare, including Citibank MRA remediation (Helios) and Ohio Department of Medicaid enterprise release management. Known for proactively consolidating fragmented project data into executive-ready reporting, driving cross-functional alignment, and operating with strong discretion in regulated environments.”

Program ManagementProject ManagementBudgetingRegulatory ComplianceRelease ManagementEnd-to-End Testing+67
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KD

Kusumita Dasgupta

Screened

Director-level Engineering Leader specializing in data platforms, cloud systems, and LLM products

United States22y exp
Intuition IntelligenceUSC

“Engineering leader/player-coach with recent hands-on work delivering an agentic AI MVP on Amazon Bedrock (conversational UI + supervisor agent routing between internal knowledge and external sources). Previously drove large-scale data platform cost optimization at Twitter, saving ~$3M–$5M annually, and has owned production incidents end-to-end with a focus on analytics/monitoring improvements and team coaching.”

JavaPythonScalaSpring BootNode.jsTypeScript+101
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SP

Sanket Patel

Screened

Director-level Front-End Engineering Leader specializing in scalable web and mobile apps

Palo Alto, CA17y exp
AmazonSan Diego State University

“Amazon engineer/leader who drove a major modernization of the AWS Database Migration Service Console, migrating a monolithic UI to a micro-frontend architecture while improving performance, reliability, and engineering standards. Operates as a player-coach (80/20 hands-on/management), with demonstrated incident ownership and process improvements across Amazon and Walmart Labs.”

AgileAngularAngularJSAWSC#Confluence+85
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HK

Harish Kasu

Screened

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

San Francisco, CA5y exp
NVIDIATexas A&M University-Kingsville

“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”

PythonFastAPIFlaskRSQLJava+204
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