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Vetted Celery Professionals
Pre-screened and vetted.
Mid-level AI/Data Engineer specializing in LLM agents, RAG, and cloud data pipelines
Mid-level Software Engineer specializing in backend systems, AWS data pipelines, and Generative AI
Senior AI/ML Engineer specializing in Agentic AI, RAG, and LLM systems
Senior Python Full-Stack Engineer specializing in cloud-native microservices
Senior Software Engineer specializing in AI platforms and full-stack ML systems
Senior Backend Software Engineer specializing in distributed systems and data pipelines
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Senior Python Backend Engineer specializing in microservices and cloud-native APIs
Senior Backend Engineer specializing in cloud-native distributed systems
Mid-level Back-End Engineer specializing in Python, Kubernetes, and Kafka streaming
Mid-level Python Developer specializing in backend APIs and AWS cloud-native systems
Mid-Level Full-Stack Software Engineer specializing in scalable web platforms and APIs
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Mid-level AI/ML Engineer specializing in FinTech and production ML systems
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Senior Full-Stack Python Developer specializing in microservices, data engineering, and cloud
Senior Full-Stack Python Engineer specializing in scalable web apps and APIs
Mark Wlodawski
Senior Unity Developer specializing in AI/LLM systems and multiplayer VR
“Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).”
Shamala Chandrappa
Mid-level AI Engineer specializing in agentic AI, LLM systems, and healthcare AI
“Healthcare-focused ML/AI engineer who has built production voice agents and clinical question-answering systems end-to-end, from experimentation through deployment, observability, and iteration. Particularly strong in making LLM systems reliable in real workflows via RAG, fine-tuning, guardrails, evaluation pipelines, and shared Python tooling; cites ~20% clinical QA accuracy gains and ~40% faster physician decision turnaround.”
Mohammed Saalim Kartapillai
Senior Backend/Full-Stack Engineer specializing in data platforms and cloud microservices
“Backend engineer who built and shipped an end-to-end AI outreach product (LazyMails) combining a LinkedIn-scraping Chrome extension with a FastAPI/Postgres backend and Gemini-powered email generation, achieving major personal productivity gains. Also has enterprise experience at TCS on Humana’s 500k+ user wellness platform running Kubernetes microservices with Azure DevOps CI/CD, plus Kafka-based real-time eligibility event streaming and GitOps-driven operations.”