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Vetted Operating Systems Professionals
Pre-screened and vetted.
Anishkumar Mahalingam Iyer
Intern Software Engineer specializing in AI/ML infrastructure and applied machine learning
“Interned at Rivian where they built and deployed a production Whisper-based ASR + LLM real-time event labeling pipeline to help autonomous-vehicle engineers diagnose failures and route issues to triage teams. Also built a stateful multi-agent "Code Partner" developer assistant using LangGraph/LangChain (planner/router/coder/critique/tester) with evaluation, adversarial testing, and stakeholder-friendly communication practices.”
Abhay Ravi Kumar
Junior Software Engineer specializing in backend, cloud DevOps, and ML/NLP
“DevOps/data-automation professional with HPE experience who has deployed containerized microservices to AWS EKS and built an end-to-end observability stack (Prometheus/Grafana/CloudWatch via Terraform), reporting zero-downtime deployments and ~40% faster incident response. Also extends Python ETL automation for procurement/operations teams (rules engine, validation, performance tuning) and bridges SAP ERP data into Power BI/Qlik dashboards through close on-site user collaboration.”
Ansh Parikh
Junior Software Engineer specializing in full-stack and machine learning
“Full-stack web developer with experience owning products from client discovery through launch and post-launch iteration, including a complete freelance build for an interior design firm and a large-scale React/TypeScript migration during an internship at Gateway Ticketing Systems. Stands out for balancing strong visual design with performance and SEO, and for improving emergency-use UX in an MVP product through flow simplification and A/B testing.”
Venkata Revanth Vardineni
Entry-level Software Developer specializing in full-stack and AI systems
“Currently at Berryble AI, this candidate is building an LLM-based real-time interview analysis engine using FastAPI, WebSockets, fine-tuned models, and GCP/Cloud Run. They stand out for using AI and agent workflows pragmatically to accelerate development while keeping human ownership over architecture, security, reliability, and maintainability, and they are also pursuing a master's in applied machine learning.”
Junior Software Engineer specializing in backend APIs and Salesforce integrations
Intern Software Engineer specializing in distributed systems and cloud infrastructure
Intern software engineer specializing in cybersecurity and systems programming
Mid-Level Software Engineer specializing in AI-enabled web applications
Junior Software Engineer specializing in full-stack and ML/security systems
Mid-Level Backend Engineer specializing in data platforms and ETL in Financial Services
Intern Full-Stack/Backend Software Engineer specializing in AWS and web platforms
Director-level Video Editor and Creative Lead specializing in branded content and post-production
Entry-Level Software Engineer specializing in backend systems and identity verification
Intern Software Engineer specializing in full-stack development, test automation, and applied AI
Mid-Level Software Engineer specializing in iOS/macOS and cross-platform app development
Mid-level Software Engineer specializing in FinTech and cloud-native full-stack development
Mid-Level Software Engineer specializing in internal web apps, automation, and DevOps
Intern Software Engineer specializing in distributed systems and cloud backend services
Intern/Junior Machine Learning Engineer specializing in LLMs, RAG, and vision-language systems
Junior Software Engineer specializing in distributed systems, cloud infrastructure, and AI