Vetted Software Development Professionals

Pre-screened and vetted.

KS

Kapil Sharma

Screened

Executive engineering leader specializing in AI platforms, LLMs, and healthcare SaaS

San Francisco, CA15y exp
DriveHealth.aiDominican University

Senior engineering leader in healthcare AI who combines org scaling with deep hands-on architecture work. At DriveHealth.ai, they helped evolve isolated workflows into a production-grade intelligent platform, standardizing a shared RAG+DCE architecture while leading teams of 50+ across engineering, AI, platform, QA, and DevOps.

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DV

Dipesh Valia

Screened

Director of Engineering specializing in cloud platforms and enterprise SaaS

San Jose, CA24y exp
IvantiCarnegie Mellon University

Engineering leader focused on large-scale enterprise SaaS and MDM platforms, with experience modernizing monoliths into microservices, improving reliability, and scaling systems to support 15M devices across AWS and Azure. Stands out for combining deep platform architecture work with strong org-building: managed teams up to 45 globally and built a 0-to-1 platform services team to 22 people in under a year.

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Paiman Nodoushani - Executive CTO specializing in AI-powered transformation for enterprise SaaS in New York, NY

Executive CTO specializing in AI-powered transformation for enterprise SaaS

New York, NY35y exp
TRG ScreenUniversity of Connecticut

Former Cisco professional who successfully pitched and got funding for adding virtualization to access routers to enable third-party application development, framing the opportunity with clear revenue upside and risk management. Highly interested in AI—especially agent-based development—and believes it lowers the barrier to building and shipping new products with small, high-caliber teams.

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SP

Siyuan Peng

Screened

Engineering Manager specializing in enterprise SaaS, cloud analytics, and ML-driven systems

Atlanta, GA11y exp
Keysight TechnologiesGeorgia Tech

Engineering leader who managed a 20-person cross-functional team building customer-driven software solutions, delivering a 50% reduction in simulation/test lifecycle and securing a long-term strategic SLA. Strong in scalable data ingestion architectures (FastAPI + Kafka + multiprocess workers), operational diagnostics (correlation IDs/centralized logging), and microservice decoupling for analytics/visualization. Active open-source contributor who shipped a NATS bug fix and improved SDK onboarding with automation that cut ramp time by 30%.

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Chetan Mukhopadhyay - Senior Engineering Manager specializing in software quality, automation, and web/mobile platforms in Seattle, WA

Senior Engineering Manager specializing in software quality, automation, and web/mobile platforms

Seattle, WA16y exp
BayerCal State Long Beach

Engineering leader at Bayer Crop Science leading a Core Platform team responsible for widely used open-source TypeScript/React and mobile SDKs (npm/GitHub) embedded across 10M+ monthly active devices. Known for shipping high-performance, backward-compatible developer frameworks with rigorous release discipline (bi-weekly releases, 99.99% uptime, long streaks of zero breaking changes) and major DX wins (onboarding cut to minutes, support tickets down 82%).

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Carl Gauntlett - Director of Software Development specializing in embedded systems, SaaS, and cloud migration in Alexandria, VA

Director of Software Development specializing in embedded systems, SaaS, and cloud migration

Alexandria, VA15y exp
Invisinet Technologies LLCUniversity of Phoenix
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LS

Staff Software Architect specializing in full-stack healthcare and enterprise systems

Los Angeles, CA22y exp
ZuubUCLA
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SS

Intern Full-Stack Developer specializing in web applications and backend modernization

Hyderabad, India1y exp
D. E. ShawMotilal Nehru National Institute of Technology Allahabad
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AT

Intern/Entry Software Engineer specializing in AI document intelligence and web development

Remote0y exp
OutamationUC Santa Cruz
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BC

Executive Technology & Product Leader specializing in Video Games, Web3, and AI/ML

Remote, USA32y exp
Autonomous Global Industries, IncUniversity of Kansas
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TB

Executive operating partner and CEO specializing in private equity value creation

Cleveland, OH27y exp
The Riverside CompanyUniversity of Kansas
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WD

Senior Data Scientist/Statistician specializing in SAS automation and data quality

Cambria, WI14y exp
Wells FargoUniversity of Wisconsin–Madison
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SS

Director of Engineering specializing in cloud, microservices, and data-intensive platforms

San Ramon, CA31y exp
StealthIIT (BHU) Varanasi
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DC

Executive IT leader specializing in digital transformation and enterprise systems

Minnesota, USA28y exp
Heliene Inc.St. John's University
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XS

Intern-level investment analyst specializing in private equity and investment banking

Los Angeles, CA2y exp
Marlin Equity PartnersDuke University
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AS

Senior Technical Project Manager specializing in e-commerce and digital marketing

New York, NY31y exp
OneWerxUniversity of Maryland, College Park
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RB

Senior AI/ML Engineer specializing in healthcare and FinTech

New Brunswick, NJ12y exp
Johnson & JohnsonThe King's College
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VD

Vismay Devjee

Screened ReferencesModerate rec.

Mid-level GenAI Engineer specializing in AI agents, RAG, and LLM evaluation

Boston, MA2y exp
Fidelity InvestmentsNortheastern University

Asset Management Risk professional at Fidelity Investments who built and productionized an agentic RAG platform enabling compliance and analysts to query 10,000+ fund documents with cited answers in seconds. Implemented structure-aware semantic chunking (AWS Textract), hierarchical retrieval, and hybrid search to raise accuracy from 68% to 94%, and built an evaluation framework tracking accuracy/latency/cost/hallucinations—delivering 40+ hours/month saved and zero critical production failures.

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Thomas Majchrowski - Executive Technology Leader (CTO) specializing in SaaS, AI platforms, and M&A integration in Irvine, CA

Executive Technology Leader (CTO) specializing in SaaS, AI platforms, and M&A integration

Irvine, CA22y exp
Foundation AIUSC

Entrepreneurial builder who created a SaaS system for insurance sales and developed in-house sales/marketing platforms, prioritizing a robust backend that drove over $500k in immediate sales before expanding features. Emphasizes lean, high-impact execution with strong focus on optimization, barrier management, and contingency planning.

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Cornelius O'Donnell - Director-level Engineering & Program Leader specializing in AI product platforms in San Diego, CA

Director-level Engineering & Program Leader specializing in AI product platforms

San Diego, CA25y exp
Studentsidekiq.comUniversity of San Diego

Technical Program Manager and one of three internal "founders" of HP’s Hardware-as-a-Service home printer subscription initiative, spanning DTC shipping, simplified setup, ink replenishment, and warranty coverage. Led roadmap definition/execution, scaled delivery rapidly to 15+ scrum teams (including vendors) with SAFe-like coordination and shared engineering standards, and drove key architecture trade-offs (building an interim subscription management service) to accelerate time-to-market by about a year.

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Sudhir Sagi - Executive technology and operations leader specializing in connected vehicle SaaS and IoT in Novi, MI

Sudhir Sagi

Screened

Executive technology and operations leader specializing in connected vehicle SaaS and IoT

Novi, MI28y exp
DanlawUniversity of Michigan

Candidate indicated they do not have a business plan or startup, are not familiar with the venture capital/accelerator landscape, and explicitly requested to withdraw their application because the position does not seem like the right fit.

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PP

Senior Backend Software Engineer specializing in cloud, microservices, and AI systems

Richardson, TX8y exp
The University of Texas at DallasUniversity of Texas at Dallas

Built an AI-powered job outreach application for his own job search and took it from idea to production use, owning architecture, FastAPI backend, retrieval/generation pipeline, frontend workflow, deployment, and iteration. Especially compelling for teams needing a pragmatic full-stack engineer who can turn LLM-based product ideas into usable, maintainable tools with measurable workflow impact.

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