Vetted Microsoft Azure Professionals

hetvi patel

Screened

Mid-level Software/Data Engineer specializing in cloud ETL pipelines and data infrastructure

New Jersey5y exp

“Backend/data engineer who built a production analytics data service (Python/FastAPI on AWS/Postgres with PySpark ETL) handling millions of records per day and drove major latency improvements (10–15s to <2s) via indexing, Redis caching, and shifting aggregations into ETL. Also shipped an LLM-based natural-language-to-SQL assistant end-to-end with strong guardrails (schema restrictions, read-only validation, RBAC, masking) and designed a multi-step agent workflow with verification and fallback logic.”

Md Abul Kalam Azad

Screened

Director-level Software Development Leader specializing in FinTech, Blockchain, and AI

Kuala Lumpur, Malaysia24y exp

“Bootstrapped founder with a technical background who has already built an MVP SaaS loyalty and referral platform plus a tablet/mobile POS companion product, leveraging Azure and Google Cloud support rather than outside capital. Focused on learning-by-building, resource-efficient execution, and forming highly motivated, equity-aligned teams.”

Jayanth Amol Ergola

Screened

Mid-Level Software Engineer specializing in full-stack development and data engineering

Milpitas, California4y exp

“Backend engineer with production experience at KeyBank building high-volume Java/Spring Boot services on Azure with PostgreSQL/Oracle, including async job ingestion and tracking. Demonstrates strong reliability/performance debugging (HikariCP pool exhaustion, DB contention) and has shipped an LLM-powered data analysis/summarization feature with robust production guardrails (validation, shadow testing, deterministic fallbacks, audit logs).”

“Data engineer who has owned high-volume production pipelines end-to-end (200–300 GB/day) on AWS, implementing strong data quality/observability and achieving 99.9% reliability while cutting data issues ~33%. Also built a large-scale external data collection system ingesting millions of records/day with anti-bot/rate-limit handling and backfill tooling, and shipped a versioned REST service exposing curated Snowflake data to downstream teams.”

“Former VP of IT at Inspired Healthcare Capital, overseeing the full IT organization within a healthcare-focused investment firm managing $3B+ in assets. Very familiar with the venture capital landscape through direct work with multiple capital partners and is specifically seeking CTO roles (not interested in founding another company).”

“Operations/IT leader who has supported venture capital firms by rebuilding and consolidating their tech stacks and improving internal technology usage through training. Previously served as VP of Operations/IT at a VC (AlliedUP), owning IT plus HR and payroll and communicating tech improvements to investors; motivated to found a company and committed to entrepreneurship.”

“Senior engineering leader who says he spent the last 7 years implementing rather than planning, including building a one-person engineering function into a fully operational department with standards, KPIs, Scrum, QA, and automation. He also designed the full technical ecosystem across application, backend, enterprise architecture, ETL, IoT, and CI/CD, and has additional exposure to VC-backed environments and M&A integration leadership.”

“Serial founder and fractional CTO with 8 companies founded and 3 exits, now looking to commit full-time to a venture-backable startup. Currently advising two startups that recently raised $400K friends-and-family and $1M pre-seed, and brings thoughtful perspective on venture-scale economics, team quality, and AI disruption risk.”

“Junior web developer turned applied AI builder who has shipped both user-facing web UX improvements (Vue.js + Drupal/Twig) and production LLM systems. Built a Google Cloud-hosted Llama/Ollama RAG customer-service chatbot with citation-based guardrails and a metrics-driven eval loop, and also delivered a large-scale Python pipeline analyzing 14M Amazon consumer reviews for flavor-trend detection.”

“Analytics-focused candidate with hands-on experience building compliance and contract utilization reporting from messy contract, vendor, subcontractor, and payment data. They combine SQL and Python automation to improve reporting speed and accuracy, and show strong stakeholder discipline through validation sessions, documentation, and dashboard adoption.”

RAUNAQ BEDI

Screened

Entry-level Software Engineer specializing in AI, data engineering, and cloud DevOps

San Francisco, CA1y exp

“Product-minded full-stack engineer with strong React/TypeScript, serverless AWS, and Postgres depth, highlighted by owning real-time personalization and onboarding experiences at mParticle. Stands out for combining deep performance debugging with measurable product impact—improving activation by 28%, reducing time-to-insights by 35%, and building reusable internal platform primitives adopted by 12 teams.”

vinod yendluri

Screened

Mid-level MLOps Engineer specializing in production machine learning systems

Hyderabad, India3y exp

“Built an end-to-end churn prediction platform at Freddi's Flowers spanning Spark ETL on AWS, model serving, monitoring, and a stakeholder-facing dashboard. Stands out for combining MLOps rigor with product thinking—adding explainability, action-oriented workflows, and config-driven multi-tenant architecture while improving latency and automating drift response.”

Rohit Viswakarma Pidishetti

Screened

Mid-level Full-Stack Engineer specializing in real-time frontend systems

New York City Metropolitan Area, USA5y exp

“Frontend-leaning full-stack engineer who built and largely owned YAARI, a browser-based social media platform with real-time interactions, media handling, and AI-based content validation. Stands out for combining React performance tuning, real-time UX design, and security-conscious backend integration in a complex consumer-style application.”

“Frontend-leaning full-stack engineer who modernized a legacy jQuery-based product information management platform into a more modular React application and owned analytics dashboard integration across UI, APIs, and data flows. Brings strong experience with enterprise releases, TypeScript modeling for complex API data, and performance optimization for large, data-heavy product and analytics interfaces.”

“Full-stack/backend engineer with recent hands-on depth in Go, Python, React, and TypeScript, spanning telehealth, banking, and B2B workflow platforms. Particularly compelling for startup and scale-up environments: rebuilt core telehealth services to restore provider trust and support 150% user growth without adding servers, and has also delivered large-scale banking and compliance-sensitive systems in production.”

“Commercial and operations leader with 11 years building the revenue infrastructure behind enterprise growth, spanning Fortune 500 creative-tech engagements, a Series A SaaS launch, and an AI operations consulting practice. Particularly compelling for GTM and revenue roles: they have repeatedly built pricing, packaging, pipeline, and delivery systems from scratch, including scaling ARR 5x at a startup and deploying AI-driven outbound engines that materially increased pipeline efficiency.”

“Product/backend engineer from Revinate with experience in a startup-like SaaS environment, working on B2B tools for hotel managers. Stands out for hands-on performance optimization work that cut core service response times from roughly 800ms to about 300ms using Redis caching and database query improvements, alongside full-stack JavaScript/TypeScript and Python experience.”

Simon Ray

Screened

Senior Full-Stack Developer specializing in scalable backend and microservices systems

Virginia, USA8y exp

“Full-stack engineer with strong Go/React experience who built a property management MVP from scratch as the only engineer at a pre-seed startup, owning everything from architecture to deployment. Also brings fintech depth from a production AWS-based platform handling payments, transactions, and financial calculations that was later acquired by an IBM subsidiary.”

Steve Majko-Ruben

Screened

Executive software architect specializing in AI, Azure, and enterprise platforms

Bellingham, WA25y exp

“Founder of NeuroCoreTech, an AI startup that has generated about $70K in under a year while building products including an interactive story platform, spam detection, and custom AI solutions. Brings startup experience dating back to 2009, exposure to $130M+ in fundraising, and a US patent, with a clear focus on revenue-first, privacy-conscious AI for PII/HIPAA-sensitive customers.”