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Vetted AWS Professionals
Pre-screened and vetted.
Anu Baluguri
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
“Full-stack engineer with production experience at Atlassian and Zoho, spanning GraphQL federation, React/TypeScript frontends, and cloud-native AWS/Kubernetes operations. Built and operated a federated GraphQL gateway with Terraform + CI/CD + observability, delivering major latency and integration-time improvements, and also designed high-volume Kafka data pipelines (10M+ events/day) with strong reliability guarantees.”
Saiteja Gaddam
Mid-Level Data Engineer specializing in cloud data platforms and streaming analytics
“Data engineer (Intuit) who owned an end-to-end telemetry and subscription analytics platform processing ~22M events/day, built on Kinesis/S3/Glue/Spark/Airflow/Redshift. Strong focus on reliability and data quality (schema drift controls, quarantine layers, idempotent reruns) and performance tuning, achieving a reporting latency reduction from ~15 minutes to under 4 minutes while enabling revenue and churn analytics for business teams.”
Surya Vardhan
Junior Operations Data Analyst specializing in KPI dashboards and SLA reporting
“Manufacturing/quality-focused professional with experience at Sikorsky Aerospace supporting aircraft parts production for clients such as Boeing and Cobham. Drove data-driven process improvements (cleaned/visualized production data) and redesigned material usage to cut delays by ~20% and reduce waste, while coordinating across production, inspection, QC, and delivery readiness.”
Ranganayak Meravath
Mid-level Generative AI Engineer specializing in RAG, agentic copilots, and regulated AI
“Senior engineer who built and productionized an Azure-based Enterprise AI Copilot for financial/compliance teams, focused on grounded, auditable answers with citations to reduce hallucinations in regulated workflows. Experienced designing multi-step agent orchestration and improving reliability through targeted iterations (e.g., fixing chunking/parsing to materially improve citation accuracy), plus building defensive pipelines for messy ERP/operational finance data.”
Vismay Patel
Senior AI & Machine Learning Engineer specializing in NLP, GenAI, and MLOps
“ML/GenAI practitioner with healthcare domain depth who built and deployed a production cervical-cancer EMR classification system using a hybrid rules + medical BERT approach, optimized for high recall under severe class imbalance and PHI constraints. Experienced running end-to-end production ML/LLM pipelines with Apache Airflow (validation, promotion/rollback, monitoring, retraining) and partnering closely with clinicians to calibrate thresholds and implement human-in-the-loop review.”
Jason Shankel
Executive Software Engineer/CTO specializing in real-time 3D, game engines, and BIM platforms
“Game/interactive systems engineer with shipped Unity/C# work (including performance gains on iOS) and experience building creator-facing tooling like a plain-language level scripting system. Also implemented an OpenAI-powered UGC dialogue/event generation pipeline with offline fallback, and built multiplayer collaborative editing in Unreal for an architectural drafting product using checksum + delta synchronization.”
Cheryl Qian
Junior Product Designer specializing in AI-powered SaaS products
“Product-minded designer/builder who operates at the intersection of UX, support, and engineering. At Miter, they helped launch three products and built the customer-facing readiness layer that contributed to a 15% adoption increase; at Yacht Labs, they designed and implemented high-polish React/Next.js experiences and proposed a spec-driven app generation system to make AI output more controllable and trustworthy.”
Sudhir Sagi
Executive technology and operations leader specializing in connected vehicle SaaS and IoT
“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.”
Hari Kiran Reddy Rommala
Mid-level Full-Stack Software Engineer specializing in cloud and data platforms
“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”
Prafull Prajapati
Senior Backend Software Engineer specializing in cloud, microservices, and AI systems
“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.”
Chitra Uppalapati
Entry-level Software Engineer specializing in full-stack and machine learning applications
“Built production Python data integrations and dashboard automation for incident analytics, with a strong focus on data quality, observability, and reliability for leadership-facing reporting. Also translated an ambiguous manual creator evaluation process at startup Spring into an automated predictive scoring feature, showing a blend of backend data engineering, test automation, and cross-functional product thinking.”
“Built end-to-end LLM/RAG systems for biological data and scientific literature analysis in a drug discovery setting, helping researchers explore disease insights and treatment hypotheses faster. Combines applied GenAI product work with strong production engineering, including monitoring, retrieval optimization, reusable Python services, and scalable deployment on AWS/Kubeflow.”
Arjun Kulkarni
Junior Software Engineer specializing in AI, LLM systems, and healthcare applications
“Product-minded full-stack engineer with experience improving performance, UX, and platform architecture across startups including SideShift, Curator, Congruence, and work on an AI coding assistant called Exec. Stands out for cutting messaging-system Redis traffic by roughly 95%, redesigning user flows for faster adoption, and building reusable multi-tenant systems and cross-platform APIs without over-abstracting.”
Keano Zamora
Mid-level Software Engineer specializing in backend, platform, and cloud infrastructure
“Full-stack engineer with experience owning a customer-facing data platform at GDIT, built on Django and Next.js. Demonstrated pragmatic architecture choices to handle image-heavy deployments and helped evolve the frontend from Alpine.js to a consistent React-based stack.”
Shreya B
Mid-level Software Engineer specializing in backend, cloud-native, and GenAI systems
“Software engineer with strong Java/Spring Boot backend depth and hands-on full-stack experience building AI-powered enterprise knowledge assistants and customer-facing order tracking systems. Stands out for combining RAG/LLM product work, event-driven microservices, and user-trust-focused product iteration, including shipping prototypes that became the basis for broader production workflows.”
Santhosh Adari
Director-level GenAI product leader specializing in conversational AI and platform strategy
“Product leader with experience at Amazon and Temenos, focused on AI-powered consumer experiences at scale. They led critical Alexa+ launches, including the first Suno music-generation integration on Alexa, combining strong UX instincts, LLM quality frameworks, and partner negotiation to unblock launches and drive major engagement gains. They also bring people leadership and a thoughtful human-in-the-loop perspective on AI, especially across multilingual and culturally nuanced markets.”
SushmithaVishwanath Rao
Mid-level Software Engineer specializing in backend systems, AI automation, and SaaS
“Full-stack engineer who built and owned a production real-estate search platform (advanced search + saved-search alerts) using Next.js App Router/TypeScript with a NestJS + Postgres + Elasticsearch/Kafka backend. Demonstrated strong performance engineering (map search FPS ~20→60, ~80% latency reduction) and backend scalability (optimized alert-matching queries and orchestrated notification workflows with Airflow/Redis), with measurable post-launch engagement gains (+27% returning users).”
Sai Anuhya Bandi
Mid-level Full-Stack Engineer specializing in AI-driven data platforms
“Full-stack engineer with 5+ years of experience who built real-time data visualization and analytics systems at Uber, spanning React/TypeScript frontends, Node/GraphQL services, Kafka pipelines, and PostgreSQL. Particularly compelling for teams needing a hands-on builder who can turn ambiguous customer needs into scalable products, and who has also applied RAG with LangChain/OpenAI over 1.8M support files to surface actionable insights.”
Thomas Lancaster
Senior Full-Stack Engineer specializing in scalable web platforms
“Software engineer with 5+ years of experience building and scaling high-traffic web systems, including e-commerce-style purchasing/reservation flows and broker back-office platforms. He has hands-on experience across Next.js front ends, Python integrations, Go load-testing tools, and MySQL/Redis-backed architectures, with notable exposure to financial reporting, MT5 integrations, and commission logic.”
Melbourne Brown
Senior Software Engineer specializing in AI-driven cloud-native platforms
“Engineer with unusual breadth: from a tiny startup building racehorse medical-record systems on credit-card chips for live racetrack demos to modern AI-powered contract intelligence platforms in production. Brings hands-on full-stack and backend depth across React, Python, .NET, PostgreSQL, Kubernetes, and Azure, with a track record of making complex, reliability-sensitive systems work in real-world conditions.”
Sky Nite
Senior Unity Developer specializing in real-time 3D, VR/XR, and WebGL platforms
“Unity engineer with a rare mix of real-time multiplayer, cross-platform shipping, and applied LLM/avatar experience. Built production systems ranging from scalable social-game avatar customization and multiplayer sandbox tooling in Agora World to a low-latency AI negotiation roleplay avatar in Unity WebGL, while also owning client-facing event features end-to-end.”
Lakshmi Tanikonda
Mid-level Full-Stack Software Engineer specializing in backend and cloud applications
“Backend-leaning full-stack engineer with experience at Liberty Mutual and Airbnb, building high-scale insurance claims systems (1M+ monthly transactions) and consumer booking/pricing services (120K–180K daily requests). Strong in transactional data integrity, PostgreSQL performance tuning, and production operations (Docker/Jenkins/AWS), with measurable UX/performance wins including ~2.3s page loads and significant runtime failure reduction.”
Sunil Chinthaparthi
Senior Software Engineer specializing in cloud-native backend and distributed systems
“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”
Neil Gariepy
Executive technology leader specializing in AI, cloud operations, and information security
“Veteran software engineering executive with ~20 years of experience who grew from hands-on IC and release engineer into VP leadership across AI, security, infrastructure, and platform engineering. Particularly compelling for senior platform or CTO-track roles: he combines board-level strategy with real technical depth, including architecting Airship's multi-agent generative AI platform, leading GDPR/security programs, and scaling NetSuite infrastructure to 99.99% uptime across six global data centers.”