Vetted Scalability Professionals

Pre-screened and vetted.

SA

Mid-level Full-Stack Java Developer specializing in cloud microservices and React

5y exp
Eli LillyUniversity of Central Missouri
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SZ

Mid-Level Software Engineer specializing in backend, microservices, and cloud platforms

Syracuse, NY5y exp
Speech Production LabSyracuse University
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MM

Executive technology and marketing leader specializing in digital transformation and e-commerce

West Palm Beach, FL20y exp
SROA Capital, LLCUniversity of Phoenix
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PM

Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics

Westlake, OH4y exp
KeyBank
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SM

Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement

6y exp
Publicis Sapient
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Veronica Andrews - Executive Chief People & Operations Officer specializing in HR strategy and operational scale in Brooklyn, NY

Veronica Andrews

Screened ReferencesStrong rec.

Executive Chief People & Operations Officer specializing in HR strategy and operational scale

Brooklyn, NY16y exp
MirimusYork College (CUNY)

People/HR leader with deep org design and change-management experience, including leading a full-company restructuring at Mirimus in direct partnership with the CEO and VPs. Known for combining systems thinking with rigorous people analytics (engagement, churn, capacity, performance signals) to diagnose root causes, redesign operating models, and coach senior leaders through high-stakes transitions and ER situations.

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SM

Sai Manikanta Kasireddy

Screened ReferencesStrong rec.

Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems

5y exp
Revstar ConsultingUniversity of North Texas

Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.

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Brandon Pav - Executive CTO specializing in cloud architecture, DevSecOps, and scalable SaaS platforms in Indianapolis, IN

Brandon Pav

Screened ReferencesStrong rec.

Executive CTO specializing in cloud architecture, DevSecOps, and scalable SaaS platforms

Indianapolis, IN13y exp
Pavtek Consulting LLCUniversity of South Florida

Founder of Pavtek Consulting LLC who acts as a hands-on technology leader for startups, building MVPs and full-stack AI products, custom ERPs, integrations, and AI agent chat tools. Notably led a major turnaround at Dyknow (EdTech), cutting major cloud waste and moving the business from a $500k annual loss to double profitability within two years before a successful acquisition.

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JV

Jon Vogel

Screened ReferencesStrong rec.

Executive software engineer specializing in iOS, AI, and edge computer vision

Redmond, WA11y exp
Nomad GoUniversity of Washington

Built a production AI-native internal onboarding feature that reduced manual product setup effort by combining barcode API data, product photos, structured LLM outputs, and a polished real-time camera UI. Demonstrates hands-on experience across the full stack of LLM systems: prompt/schema design, multimodal inputs, backend orchestration with SQS and vector retrieval, and production reliability through evals, telemetry, and drift monitoring.

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DC

Deepika Chudi

Screened

Mid-level Full-Stack Engineer specializing in React, TypeScript, and Spring Boot

Seattle, WA5y exp
CuraJoyNortheastern University

Full-stack engineer with strong Next.js App Router/TypeScript experience who built production dataset search/filtering and data-heavy dashboards backed by Postgres. Demonstrates hands-on performance work across the stack (EXPLAIN ANALYZE, composite indexes, caching, React profiling/memoization) and has built durable, Temporal-like orchestrated data-processing workflows with idempotency and retry strategies in an early-stage startup environment (Gaia AI).

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SS

Mid-level Full-Stack Engineer specializing in cloud-native microservices and healthcare portals

Columbus, OH5y exp
Molina HealthcareIllinois Institute of Technology

Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.

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PD

Mid-level Software Engineer specializing in backend APIs, cloud deployments, and enterprise automation

New Paltz, NY6y exp
HumanaSUNY
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AS

Director of Software Engineering specializing in AI-enabled platforms and cloud modernization

Remote, US11y exp
RedTeam SoftwareEmory University
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LM

Mid-level Data Scientist / Machine Learning Engineer specializing in NLP and computer vision

Austin, TX6y exp
ArtisightUniversity of Northern Colorado
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SP

Mid-level AI Engineer specializing in NLP, computer vision, and MLOps

Birmingham, AL4y exp
FTI ConsultingUniversity of Alabama at Birmingham
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Tiffany Utvaer Gasser - Mid-level Software Developer specializing in FinTech in Foster City, CA

Tiffany Utvaer Gasser

Screened ReferencesModerate rec.

Mid-level Software Developer specializing in FinTech

Foster City, CA4y exp
SpareBank 1 UtviklingNoroff School of Technology and Digital Media

Software engineer with experience in a large financial institution, including ownership of an internal queue-based service and upgrades to an online credit dispute flow. Stands out for combining backend reliability work, stakeholder collaboration with bank operations staff, and a pragmatic focus on validation, monitoring, and developer experience.

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AA

Archi Agrawal

Screened

Mid-level Software Developer specializing in microservices and AWS cloud-native systems

United States3y exp
Saayam for AllArizona State University

Full-stack engineer focused on application-layer product work (70–75%), with production experience building real-time operational dashboards (React/TypeScript + Node/Express + WebSockets + Postgres) and measurable impact (50% reduction in data entry time). Also owned a Flask backend for a SaaS product with token auth/RBAC, versioning, observability, and performance tuning, and has operated containerized apps on AWS (EKS, RDS/Aurora, S3, API Gateway) including handling a real latency/scaling incident end-to-end.

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TW

Tom Wang

Screened

Entry-Level Software Engineer specializing in distributed systems and backend infrastructure

Remote0y exp
Bright Sparks AcademyUniversity of Massachusetts Amherst

Built and operated an end-to-end customer-facing "Record Platform" web product as both engineer and primary user, focusing on reliability and correctness in core flows like search and checkout. Implemented a TypeScript/React frontend with a multi-service backend and Kafka-based event-driven architecture, and created internal tooling to automate risky ops like Kubernetes TLS certificate rotation with k6 load/chaos testing (including HTTP/2 and HTTP/3 validation).

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Aakanksha Desai - Junior Full-Stack Software Engineer specializing in React, Kubernetes, and AI-powered apps in Scottsdale, Arizona

Junior Full-Stack Software Engineer specializing in React, Kubernetes, and AI-powered apps

Scottsdale, Arizona2y exp
onsemiArizona State University

Backend/DevOps-leaning engineer managing multiple customer service platforms end-to-end (requirements through deployment). Built an in-house Python monitoring/alerting solution for Salesforce-to-Java contact sync jobs (Snowflake dependencies) that increased uptime ~60%, and helped modernize delivery by moving the team from manual releases to automated Jenkins-based deployments while coordinating an Oracle EBS→Fusion transition with business/data/IT stakeholders.

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