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Vetted Microsoft Azure Professionals
Pre-screened and vetted.
Akashreddy Madduri
Senior Backend Engineer specializing in real-time data platforms for FinTech and Healthcare
“Backend/data engineer with experience at JPMorgan building near real-time payment risk and fraud scoring pipelines using Python, Spark Structured Streaming, and Delta Lake, emphasizing auditability, security, and data correctness (dedupe/late events) to reduce false positives. Also led a legacy-to-cloud migration of claims/eligibility data at Cogna with parallel runs, phased rollout, and healthcare-specific validation (ICD-CPT mapping).”
jiayu Zhao
Junior Quantitative Analyst and Full-Stack Engineer specializing in FinTech and web platforms
“Backend/distributed-systems engineer with AI infrastructure experience who built an AI-driven video generation platform, focusing on an asynchronous FastAPI-based orchestration layer between user APIs and heavy inference services. Strong in production instrumentation and latency/concurrency optimization; actively learning ROS 2 but has not yet worked on physical robotics or ROS-based deployments.”
Pandari G
Mid-level Machine Learning Engineer specializing in Generative AI and RAG systems
“GenAI/LLM engineer with production deployments in both fintech and retail: built an AI-powered mortgage document analysis/automated underwriting pipeline at Fannie Mae (OCR + custom LLM) cutting underwriting review from 3–4 hours to under an hour with privacy-by-design controls. Also helped build Sephora’s GenAI product advisory bot using LangChain-orchestrated RAG (Azure GPT-4, Azure AI Search, MySQL HeatWave vector search), focusing on grounding, evaluation, and compliance-aware architecture choices.”
Sanat Ahuja
Senior Engineering Manager specializing in platform, data/ML, and identity/access systems
“Senior engineering leader from Goodyear’s AndGo startup-like division who scaled the org from 12 to 30+ across pod-based teams and introduced an Architect Guild/ARD governance model. Led a 4-month Europe launch requiring AWS regional infrastructure, GDPR compliance, i18n/l10n, and new EMEA reporting pipelines, and has hands-on depth in API performance, incident response, and GraphQL/Hasura adoption to boost product velocity.”
Ravi Ada
Executive CTO specializing in digital health platforms, cloud & AI, and FHIR/HL7 interoperability
“Healthcare diagnostics/health tech founder building Casandra.ai, an API-driven lab test catalog and ordering platform designed to standardize fragmented test catalogs and integrate into provider workflows via FHIR. Bootstrapped and built a deploy-ready product, drawing on prior startup experience and accelerator participation (Health Box, DreamIt Ventures).”
Joe Brannon
Executive IT & PMO leader specializing in digital commerce and enterprise transformation
“IT leader with hands-on M&A integration experience (including day-one readiness) across notable brands (e.g., Billabong, Marucci Sports) and product-focused organizations (Oakley). Brings broad IT domain expertise (AI, business systems, digital sales technologies) and has worked with multiple startups; interested in joining an existing startup to help it scale rather than founding a new company.”
Sarthak Vinayaka
Mid-Level Full-Stack Software Engineer specializing in enterprise AI, data pipelines, and scalable APIs
“Forward-deployed engineer/tech lead who built an end-to-end demand planning and forecasting application for a major US steel manufacturer, integrating Snowflake data into the C3 platform with batch/MapReduce workflows, monitoring, and a React/TypeScript UI. Also productionized an enterprise LLM integration with structured outputs and authorization guardrails, reporting +30% stakeholder engagement and broad adoption across customer deployments.”
Sai Naveen Masadi
Senior .NET Full-Stack Developer specializing in cloud-native enterprise apps
“Full-stack TypeScript engineer who built and operated a production order/inventory platform (React + NestJS/Node + PostgreSQL) with Redis and RabbitMQ for performance and background workflows. Emphasizes correctness in production via idempotency, retries/backoff, DLQs, and observability, and has also delivered external-facing REST APIs (Swagger, versioning, JWT/RBAC) plus resilient checkout browser automations using Playwright/Puppeteer.”
Shram Kadia
Mid-level Software Engineer specializing in backend systems, cloud-native apps, and AI platforms
“Backend/full-stack engineer who has owned production systems end-to-end, including a Dockerized Node.js/TypeScript probabilistic fault-tree analysis service for nuclear safety research deployed on AWS. Also built and operated a FastAPI-based RAG pipeline over 200+ PDFs using FAISS, focusing on low-latency, idempotent workflows and strong observability; experienced with API design and Playwright E2E automation across React/Angular projects.”
Sushma Mangalampati
Mid-level Data Engineer specializing in lakehouse ETL and analytics engineering
“Data engineer with strong end-to-end ownership of production lakehouse pipelines (Snowflake + Databricks + Airflow + dbt + Great Expectations), handling 8M+ records/month and 500K+ daily CDC updates. Delivered measurable reliability and efficiency gains (41% cost reduction, freshness improved from 4h to 30m, 35% fewer downstream incidents) and has experience building a lakehouse platform from scratch across 12 source systems.”
Zhiwen Zhao
Junior Data Engineer specializing in cloud ETL and big data platforms
“Data engineer focused on transit/transportation datasets, building Spark-based pipelines that ingest from Oracle/APIs, apply PySpark data-quality fixes, and publish star-schema fact tables to Azure Data Lake. Experienced troubleshooting complex Spark failures (using checkpointing to manage long lineage) and operating Airflow-driven backfills and GitLab CI deployments for production DAGs.”
Matt McStravick
Director-level security leader specializing in multi-cloud and cloud-native security
“Current Riveron professional with prior startup experience at Quizlet who performs M&A security assessments for VC-backed acquisitions, while also co-founding a private company on the side. Particularly notable for attracting a16z investment interest but intentionally declining funding to preserve equity, board control, and product vision.”
Lahari Nandigani
Mid-level Business Analyst specializing in healthcare and retail analytics
“Analytics professional with experience across retail and healthcare, including Kroger and CVS Health. They have built SQL and Python workflows to clean and operationalize messy data, and have owned patient adherence/retention analytics projects that informed targeted interventions and improved refill and retention reporting.”
Yeshwanth Vudugu
Mid-level Data Analyst specializing in banking and product analytics
“Analytics engineer/data analyst with Bank of America experience turning fragmented financial data across SQL Server, PostgreSQL, Kafka, and flat files into trusted Snowflake/dbt reporting models. Stands out for unifying disputed business definitions like churn and payment success rate, automating manual analysis in Python, and pairing strong data quality rigor with stakeholder adoption through self-service dashboards.”
Naincy Chovatiya
Mid-level Sales Operations Analyst specializing in revenue operations and analytics
Vamsi Reddy
Mid-level AI/ML Engineer specializing in healthcare and financial ML systems
“ML/AI engineer with hands-on experience shipping both predictive healthcare models and clinical GenAI assistants into production. They combine strong MLOps depth across Azure and AWS with healthcare-specific safety thinking, including PHI guardrails, retrieval grounding, and production monitoring, and they also built internal Python tooling for fraud ML workflows at Capital One.”
Chuks Onwuneme
Executive technology leader specializing in Healthcare IT, AI, and regulated SaaS
“Founder who raised friends-and-family capital in 2024, used it to build an initial product and develop patent-backed IP, then pivoted from AI impersonation detection to authorization and trust infrastructure for agentic workflows. Demonstrates strong strategic thinking around infrastructure products, customer-driven repositioning, and venture-backed startup dynamics.”
Arpan Acharya
Executive engineering leader specializing in AI, data platforms, and healthcare SaaS
“Senior product and platform engineering leader with experience spanning startup-style incubation and large-scale enterprise transformation at Omnicell. Led architecture used by 400+ engineers, scaled a new data-focused team from 10 to 60, and drove an inventory optimization platform that helped secure the company’s first $100M+ multi-product contract.”
Veda Shruthi Kunjithapatham
Mid Software Engineer specializing in cloud-native healthcare and security systems
“Frontend engineer with Oracle Cerner experience building healthcare operations UIs where accuracy, compliance, and workflow efficiency matter. They’ve owned a sophisticated React-based patient record validation and merge interface and also show solid performance instincts through render optimization, state management, and TypeScript-based API modeling.”
Rujul Khatavkar
Junior AI/ML Engineer specializing in LLM applications and full-stack systems
“AI/full-stack engineer with hands-on experience shipping LLM-powered operational workflows in claims and Medicaid contexts. They built end-to-end TypeScript/React/Node systems with RAG, structured outputs, evals, and human-in-the-loop controls, and can point to concrete impact including 45% lower triage time, 38% better retrieval accuracy, and major manual-effort reductions.”
Abhinita Sanabada
Senior Software Engineer specializing in AI/ML systems and FinTech platforms
“Master’s student in Data Science at San Jose State University with prior software engineering experience at JPMorgan Chase and Zap Labs. She combines enterprise backend reliability work in financial systems with hands-on full-stack AI workflow projects, including a recruiting automation system built with React/Next.js, FastAPI/Node, Kafka, and WebSockets, with a strong emphasis on observability, human-in-the-loop controls, and maintainability.”
Arunteja T
Senior Full-Stack Engineer specializing in Java microservices and enterprise platforms
“Front-end/full-stack engineer with hands-on ownership of a sophisticated healthcare digital ID card platform at Centene, spanning React/Next.js UI and Spring Boot BFF architecture. Stands out for combining browser-level debugging, reusable component design, and secure multi-system integration to improve mobile usability, reduce production issues, and support adoption of digital member ID cards.”
Mark Parolisi
Executive technology leader specializing in digital publishing and media platforms
“Engineering leader in digital media/news with 8 years leading globally distributed teams supporting 24+ consumer and internal web applications. Distinguishes himself as a hands-on player-coach who standardized tooling across teams, built an in-house authentication and entitlements platform, and led AI systems for newsroom draft generation and taxonomy workflows that improved efficiency and engagement.”
Ilya Kravchenko
Executive engineering leader specializing in AI-enabled SaaS and internet-scale platforms
“Engineering leader with a rare blend of SaaS, robotics, and AI systems experience, most recently leading a 21-engineer org under the CTO. They pair strong people/process leadership with hands-on architecture depth, driving dramatic delivery improvements while also building grounded LLM support tooling for warehouse operations where accuracy directly impacts physical execution and customer outcomes.”