Vetted .NET Professionals

“Senior engineering executive who has spent the last decade leading large-scale platform modernization while staying deeply hands-on in architecture, debugging, and code reviews. He has led 120+ person organizations, built cloud-native SaaS and identity platforms across regulated and enterprise domains, and ties engineering decisions directly to revenue outcomes, including contributing to Wind River's $1B+ milestone.”

“Senior engineering leader with VP-level scope who combines hands-on technical depth with large-scale org leadership. He led modernization of a legacy automotive ERP platform and architected OEM integration systems, while also scaling teams aggressively and translating enterprise customer needs into practical product and engineering plans.”

Briant Trainer

Screened

Principal cloud consultant specializing in ERP, public sector, and enterprise implementations

California, USA25y exp

“Senior cloud/functional consultant with deep experience implementing Oracle and Infor solutions for large public-sector clients, especially permitting, licensing, and EAM-related workflows. Stands out for owning full lifecycle delivery, translating highly regulated requirements into complex configured workflows, and running large-scale UAT/test management across multi-module enterprise programs.”

“Frontend engineer with JP Morgan Chase experience building data-heavy React/TypeScript products, including an AI-powered enterprise search application and workforce analytics dashboards. Stands out for combining reusable component architecture, Redux-driven state flow, responsive CSS, and production performance tuning for large-scale internal enterprise tools.”

“CTO candidate with experience in multiple VC-backed startups, emphasizing timing and disciplined scaling of engineering orgs (people, product, process). Evaluates technology choices through a customer-value lens and proactively flags business/tech misalignment, with a pragmatic approach to venture viability using TAM, competitive landscape, and leading indicators.”

“Backend/data engineer with experience at Citi and Elevance Health, building end-to-end pipelines and data services in regulated, high-volume environments. They combine Python, SQL, .NET, Azure Functions, and strong observability/reliability patterns to improve processing speed, reduce manual effort, and maintain high uptime across financial and healthcare data platforms.”

Amaan Elahi

Screened

Mid-level Software Engineer specializing in backend, AI, and full-stack systems

New York, NY5y exp

“Built and shipped production LLM agents including an internal RAG-based compliance classification system at SAIL (FastAPI/Redis/Docker) designed to handle real failure modes and scale to ~10k LLM calls/hour, achieving ~93% pipeline accuracy with reduced hallucination risk via multi-model orchestration and strict grounding. Also architected “Elara,” a state-machine-driven conversational appointment booking agent using structured JSON outputs and backend function execution for reliability, and has experience normalizing messy OTA/PMS data at RateGain.”

“Unity/C# game engineer with about 3 years of experience who owned a high-impact runtime content delivery platform at Zynga/Singa powering LiveOps releases for roughly two years. Their work cut app size by 35-40%, removed a 25K daily activator drop on release days, improved load times by 25%, and supported a feature that drove 10% quarterly revenue growth.”

Pahuldeep Singh

Screened

Senior Full-Stack Developer specializing in scalable web platforms and automation

Remote6y exp

“Backend/full-stack engineer focused on TypeScript/Node.js systems, with hands-on ownership of a real-time telemetry and dashboard platform built on Kafka, Debezium, PostgreSQL, and GraphQL. Stands out for combining event-driven architecture, correctness/idempotency patterns, strong observability, multi-tenant security, and developer-friendly API design in production environments.”

Anirban Ghosh

Screened

Mid-level Machine Learning Engineer specializing in data science and cloud systems

Seattle, WA4y exp

“ML engineer who independently pitched and built a recommendation engine at Danske Bank in a legacy fintech environment, creating compliant data pipelines and deployment infrastructure from scratch and delivering a 62% engagement lift with 70%+ advisor adoption. Also worked at AWS on classification and GenAI-powered reporting systems, with strengths spanning production ML, platform setup, monitoring, and research-to-production optimization.”

“Engineering director and former front-end engineering manager with a strong blend of people leadership, UX/design-system ownership, and hands-on technical depth. At Siemens, they led a 15-person US/Europe team through a SaaS-era design-system transformation, winning over resistant product teams and exceeding adoption goals; at Intellimize, they solved legacy-browser constraints with a custom TypeScript-based build pipeline that improved quality, morale, and user experience.”

“Backend engineer with hands-on experience scaling a Python/Flask incident-logging platform processing thousands of daily logs. Strong in performance tuning (PostgreSQL/SQLAlchemy query optimization, partitioning, summary tables) and reliability patterns (Redis caching, Celery background workers, Docker + Jenkins CI/CD), with some multi-tenant data isolation experience via separate DBs/schemas.”

“Founder/builder of an EdTech startup (robograde.io) who personally conducted on-site classroom discovery with teachers and rapidly iterated the product based on real-world feedback. Implemented a Canvas LMS integration and refined it through weeks of in-person testing, and handled a live production grading failure by quickly debugging and deploying a fix, then adding fault-tolerant/backup API design.”

“Serial entrepreneur who built Verb Technology from a garage startup to a Nasdaq IPO, raising multiple rounds of capital along the way. Invented interactive live streaming technology that was acquired by Amazon and demonstrated rapid product/market response during COVID by prototyping and launching a solution for users while tightly managing AWS costs.”

“QA professional with Apple experience supporting the macOS Sonoma release, owning daily monitoring of submissions, crashes, regressions, and release verification across multiple OS/device builds. Notably isolated a memory-related issue in the Safari suite that caused an 18-hour build backlog and 156+ test crashes, leading to a Python-script fix that restored build times to ~1 hour and helped keep the release on schedule.”

“LLM/RAG engineer who has shipped production systems in high-stakes domains (fraud analytics at Mastercard and security compliance as a CI/CD gate). Strong focus on reliability: hybrid retrieval for latency, citation-backed outputs for trust, and code-driven eval/regression pipelines using golden datasets. Also built scalable OCR-based ingestion for messy classroom artifacts (handwriting, PDFs, whiteboard photos) using Go/Python and cloud services.”

Edward Robinson-Adams

Screened

Executive cybersecurity and AI leader, CEO/co-founder specializing in enterprise SaaS and strategy

Boston, MA35y exp

“Operator who took a seed-funded university spin-off in cybersecurity from zero revenue and heavy losses to profitability and industry leadership, while building the full internal ops stack (HR/payroll/benefits/401k) and the initial GTM engine (Salesforce/HubSpot, SPIN + MEDPICC). Personally led fundraising across 30+ VC pitches, raising $11.2M total and delivering $98M returned to investors to date, with additional upside from a subsequent spin-off.”

Akshaya Chiduruppa

Screened

Mid-level Quality Assurance Engineer specializing in AI/ML and Apple ecosystem testing

Seattle, WA4y exp

“QA automation engineer with end-to-end ownership of a regression suite for a warehouse loan management platform (.NET/Angular), using Selenium (Java/Cucumber/POM) and Cypress. Improved suite stability and expanded risk-based coverage (DB/API/SQL, RBAC approval workflows), catching critical financial defects like EMI calculation errors and cutting regression effort by ~50% while gating releases via GitLab CI/CD with actionable Slack reporting.”

Subbu Paravatareddy

Screened

Engineering Leader specializing in cloud modernization and AI/ML integration

Emeryville, CA21y exp

“Player-coach engineering leader focused on buyer/distribution product lines, building scalable purchasing/planning frameworks and modernizing workflows. Drove performance and reliability improvements via queue-based async architectures, external API redundancy, and CI/CD automation, and has led production incident response (cache-related) with follow-up playbooks and monitoring. Experienced in high-growth/startup environments, combining hands-on delivery with mentoring, 1:1s, and performance coaching.”

“Built a production AI-powered insights platform for marketing teams analyzing large-scale social and news data, combining Java microservices, Kafka, Spark, React, and LLM-based retrieval workflows. Stands out for shipping customer-facing AI features with measurable gains in accuracy and latency, plus solid reliability practices for high-volume backend systems.”

“5-year .NET full stack developer who has applied AI-assisted development in an enterprise Cisco environment, using tools like GitHub Copilot and ChatGPT to accelerate microservice API delivery while maintaining architecture, security, and code quality standards. Notably reports a roughly 30% reduction in development time on a customer policy management/claims processing project through disciplined use of AI for boilerplate, testing, and design validation.”

“Senior engineering leader with deep hands-on experience scaling and stabilizing complex SaaS platforms, including leading the OneLogin identity platform and managing globally distributed teams of up to 105 people. Particularly strong in reliability engineering, infrastructure modernization, and cross-functional execution, with a track record spanning platform unification, enterprise product delivery, and tailored Agile transformations.”