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Vetted Cloud Computing Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and big data on cloud platforms
Executive technology leader specializing in software engineering, AI, and cloud platforms
Junior Software Engineer specializing in cloud infrastructure and database tooling
Intern AI/ML Engineer specializing in generative AI and multimodal agentic systems
Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation
Mid-Level Full-Stack Software Engineer specializing in FinTech platforms
Mid-level Software Engineer specializing in AWS serverless and AI support automation
Executive operating partner and CEO specializing in private equity value creation
Mid-level Software Engineer specializing in distributed systems and data platforms
Senior DevOps & Solutions Engineer specializing in CI/CD and GitHub Enterprise
Director of Engineering specializing in cloud, microservices, and data-intensive platforms
Executive IT & Software Development Leader specializing in cloud-native transformation and trading platforms
Executive IT leader specializing in digital transformation and enterprise systems
Mid-level Business Analyst specializing in finance, data analytics, and AI infrastructure
Leela Tikkisetty
Mid-level Software Engineer specializing in ML platforms and cloud-native backend systems
“Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).”
Thomas Majchrowski
Executive Technology Leader (CTO) specializing in SaaS, AI platforms, and M&A integration
“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.”
Sudhir Nelvagal
Executive Product & Engineering Leader specializing in Cloud/SaaS, AI/ML, and Cybersecurity
“Engineering/technology leader with experience at GE, Owl Cyber Defense, and Team Cymru, focused on translating VOC and business strategy into iterative product/technology roadmaps. Led delivery of a Continuous Threat Exposure Management/asset discovery capability integrated with threat intel, reaching GA in ~2 quarters and generating ~$300K in pre-GA orders. Has scaled engineering organizations significantly (to ~100 FTE) and driven big-data security architectures using Kafka and ClickHouse with data-driven cost/performance tradeoffs.”
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.”
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.”
Pavan Kishore Ramavath
Intern Software Engineer specializing in machine learning and backend systems
“Built an AI-powered medical coding system at Clinpex that mapped 88,000+ clinical terms to standardized codes, achieving about 86% accuracy and cutting manual review time by over 80%. Brings hands-on backend ownership in a healthcare AI setting, with experience using semantic retrieval, LLM validation, and human review to handle ambiguity and reliability in a regulated domain.”
Jonas Shuai
Mid-level Full-Stack Software Engineer specializing in cloud, microservices, and React/Java
“Software engineer with experience at PayPal and JPMC building large-scale onboarding/account setup systems using React/TypeScript with Spring Boot/Node microservices and Kafka. Also built an Ignition-based SCADA monitoring tool at Mainspring Energy that became the default for manufacturing/test engineers by aggregating real-time telemetry and historical test data.”
Kalyaan Kanugula
Mid-Level Software Engineer specializing in AWS distributed systems and microservices
“Backend/ML-systems engineer with experience (including Amazon) building real-time face recognition services using PyTorch (MTCNN/FaceNet) and AWS (SQS/S3/Lambda/EC2) with a focus on low latency, burst handling, and cost control. Also led a revenue-critical legacy pricing workflow migration to a serverless event-driven architecture using strangler-pattern rollout, simulation-based validation, and strong security practices (JWT/RBAC/RLS).”
Pratima Singh
Senior Full-Stack Software Engineer specializing in FinTech, cloud microservices, and blockchain
“Python/ML engineer with strong DevOps depth: built an end-to-end regime-aware stock prediction system (custom fine-tuned FinBERT sentiment + technical/macro features) delivering a 12% accuracy lift. Also implemented Kubernetes/Helm + Jenkins/GitHub Actions pipelines (including GitOps-style workflows for multi-cloud Hyperledger Besu) and improved deployment speed/stability by ~50% while addressing race conditions and image drift.”