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Vetted AWS Lambda Professionals
Pre-screened and vetted.
Senior DevOps Engineer / AWS Solutions Architect specializing in Kubernetes and DevSecOps
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Mid-level Full-Stack Software Engineer specializing in SaaS, FinTech, and Healthcare IT
Senior Software Engineer specializing in cloud platforms and distributed systems
Intern software engineer specializing in full-stack SaaS and platform engineering
Senior Software Engineer specializing in data platforms and FinTech/SaaS systems
Senior Full-Stack Engineer specializing in Java microservices and FinTech
Mid-level Software Developer specializing in backend cloud and API platforms
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
Staff Software Engineer specializing in frontend platform architecture
Rubeena Riyas
Senior AI Engineer specializing in LLM agents, RAG, and scalable data platforms
“ML/data engineer who owned an end-to-end production sales analytics pipeline at 15,000+ user scale, delivering ~50% compute reduction, ~80% faster reporting, and ~$1.2M impact. Also shipped a production RAG-based AI assistant over internal BigQuery/docs with evaluation metrics and safety guardrails, and built shared Python libraries to standardize reliability and accelerate engineering teams.”
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
Sangeeth Kumar Mohan
Senior Lead Software Engineer specializing in authentication platforms and distributed systems
“Full-stack engineer (T-Mobile experience) focused on authentication/session-management systems, with hands-on work optimizing token-validation flows and reducing latency by eliminating redundant API calls and adding caching. Brings strong production ownership with observability (Splunk/Grafana), Postgres data modeling/index tuning, and resilient async workflow design (idempotency, retries/backoff, queues).”
Khaliun Gerel
Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms
“Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.”