Vetted SDLC Professionals

Pre-screened and vetted.

SC

Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps

TX5y exp
UberUniversity of Alabama at Birmingham
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DO

Mid-level Software Engineer specializing in backend systems, cloud microservices, and AI-driven automation

Bellevue, WA4y exp
LTIMindtreeArizona State University
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DP

Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React

Chicago, Illinois6y exp
UberIllinois Institute of Technology
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DT

Mid-level Full-Stack Developer specializing in FinTech payments and secure APIs

San Francisco, CA4y exp
Scale AIBelgorod State University
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YG

Mid-Level Software Engineer specializing in cloud-native distributed systems

Harrison, NJ5y exp
AmazonSouthern Illinois University
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HR

Mid-level Data Scientist specializing in marketing analytics and scalable data platforms

Remote, USA5y exp
AdobeNortheastern University
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JK

Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines

San Antonio, TX4y exp
USAAClark University
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SM

Mid-level Data Engineer specializing in AI/ML data platforms and real-time streaming

Arkansas, USA6y exp
WalmartUniversity of Central Missouri
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SM

Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines

California, USA5y exp
JPMorgan ChaseCalifornia State University, Fullerton
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MS

Senior Solution Consultant specializing in Workday HCM and integrations

5y exp
Elevance HealthUniversity at Albany
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SB

Senior Software Engineer specializing in full-stack web development

San Francisco, CA9y exp
Assort HealthGeorgia Tech
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TL

Tesia Lo

Screened ReferencesStrong rec.

Senior Program Manager specializing in SaaS, e-commerce, and AR/3D delivery

San Francisco, CA8y exp
BoltUSC

Implementation leader with 7 years of experience delivering enterprise B2B/SaaS rollouts across dental healthcare, AR commerce, restaurant management, and fintech-related environments. Has managed everything from small multi-week deployments to 450+ location enterprise implementations, including high-visibility alpha launches at Snap where executive communication, governance, and cross-functional coordination were critical.

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Vijay Mohan - Executive technology leader specializing in AI, cloud platforms, and enterprise software in Nashua, NH

Vijay Mohan

Screened ReferencesStrong rec.

Executive technology leader specializing in AI, cloud platforms, and enterprise software

Nashua, NH25y exp
redfly.aiCollege of Engineering, Trivandrum

Founder of Braindump (redfly.ai), an AI companion for memory and personal organization, who has already raised $60,000 from Alchemist Accelerator. Brings hands-on experience with customer discovery, technical validation, and VC pitching, and stands out for a first-principles approach to building products with dramatic performance and cost improvements.

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YS

Yoga Sathyanarayanan

Screened ReferencesStrong rec.

Junior Software Engineer specializing in backend, distributed systems, and AI infrastructure

New York, NY3y exp
NYU Stern School of BusinessNYU

Full-stack engineer with hands-on experience spanning real-time AI products, large-scale payments migration, internal research infrastructure, and open-source ML tooling. Particularly compelling is the mix of low-latency React/Node/TypeScript systems work, zero-downtime migration of 50,000 accounts across 12 regions, and proactive contributions to Kubeflow build and security reliability.

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Sreenaina Koujala - Mid-level Full-Stack & AI Engineer specializing in cloud and intelligent systems in Ashburn, VA

Sreenaina Koujala

Screened ReferencesStrong rec.

Mid-level Full-Stack & AI Engineer specializing in cloud and intelligent systems

Ashburn, VA8y exp
Zazvata Inc.George Mason University

Builder with experience across government contracting, engineering automation, and solo AI product development. They architected a serverless AWS pipeline that converted unstructured BIM data into IFC 3D models, built an enterprise internal-data chatbot with auditability and guardrails at Steampunk, and independently launched an AI study platform using Claude. Strong fit for early-stage or ambiguous environments where end-to-end ownership and practical AI systems matter.

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DY

David Yoo

Screened

Junior AI Solutions Engineer specializing in enterprise LLM systems

Frisco, TX2y exp
WorldLink USCornell University

Recent Cornell graduate with roughly 18 months of unusually high-impact Solutions Engineering experience, already owning enterprise AI engagements for Citi and Samsung at WorldLink US. Stands out for combining technical pre-sales with hands-on prototyping and delivery, including local on-device AI for Samsung QA and helping take an AI security product from architecture to first $100K close.

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CK

Mid-level Data Engineer specializing in cloud data platforms and FinTech analytics

Chicago, IL4y exp
IntuitDePaul University

Solutions architect/technical consultant with experience across Intuit, Deloitte, and CodeNest Solutions, focused on enterprise data modernization, AI adoption, and real-time streaming in B2B environments. Particularly strong in regulated financial use cases, where they combine hands-on POC building, security/compliance diligence, and modern data stack expertise to help clients modernize legacy systems and close complex enterprise deals.

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MA

Mahesh Ambig

Screened

Senior Front-End Engineer specializing in React architecture and performance

Newark, NJ11y exp
BroadridgeSikkim Manipal Institute of Technology

Lead front-end engineer focused on large-scale React microfrontend enterprise platforms, with experience spanning telecom e-commerce and financial services. Stands out for combining architecture ownership with deep browser-level performance expertise, including a 42-45% route transition improvement and UX changes that cut workflow completion times by about 25% for demanding institutional users.

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RS

Mid-level Software Engineer specializing in full-stack agentic AI

Tampa, FL3y exp
SamsungUniversity of South Florida

Built a production-grade agentic document intake system that converts PDFs into structured records with strict schema validation, confidence-based retries, and a human review UI. Demonstrates strong practical judgment around making LLM systems reliable in enterprise workflows, including custom orchestration, observability, and continuous evals rather than relying on off-the-shelf abstractions.

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Michael Prospero - Executive product leader specializing in AI/ML and data products in Remote

Executive product leader specializing in AI/ML and data products

Remote15y exp
Royal CaribbeanDrexel University

GenAI product owner and longtime financial-services product professional who helped stand up a new AI function at Royal Caribbean Group as one of its earliest hires. They combined enterprise intake, governance, and rapid prototyping with hands-on product leadership, including a fraud detection initiative projected to save $16M annually and AI solutions shaped across highly regulated environments.

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