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Vetted AWS Step Functions Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend and AWS cloud infrastructure
Senior Full-Stack Software Engineer specializing in React and Node/Python in regulated systems
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Senior Full-Stack Engineer specializing in AI-powered SaaS and cloud-native analytics
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Software Engineer specializing in FinTech payments and scalable platforms
Senior Software Engineer specializing in Python and AWS cloud backend systems
Director-level Software Development Manager specializing in large-scale cloud platforms
Nishitha Thummala
Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference
“Backend/retrieval-focused engineer with production experience at Perplexity building a large-scale real-time Q&A system using retrieval-augmented generation, emphasizing low-latency, high-quality answers through ranking, context optimization, and caching. Also has orchestration experience from both product-facing LLM pipelines and large-scale infrastructure workflows at Meta, and has partnered with non-technical stakeholders to align AI trade-offs with business goals.”
Nikhil Reddy
Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms
“Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.”
Krishna Reddy
Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants
“Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.”
Aniket Singhal
Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms
“Backend engineer with Amazon experience building large-scale, automated financial/accounting and pricing systems on AWS. Designed a fault-tolerant Step Functions + DynamoDB workflow platform handling 100K+ messages/sec to compute fair values and generate journal entries in under 3 seconds, and led safe API refactors using shadow mismatch testing. Also uncovered a major legacy pricing bug (tax vs non-tax swap) that cut mismatch rates from 5–10% to ~0.5% and materially improved price acceptance/business outcomes.”