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Vetted AWS Lambda Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV
Mid-level Applied AI Engineer specializing in LLM agents and RAG systems
Senior Full-Stack Product Engineer specializing in AI, Cloud, and regulated domains
Mid-Level Full-Stack Java Developer specializing in React, Spring Boot, and cloud microservices
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Senior Backend/Infrastructure Engineer specializing in Python microservices and AWS
Senior Full-Stack Software Engineer specializing in AI, cloud platforms, and payments
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Senior Full-Stack Engineer specializing in growth, analytics, and funnel optimization
Mid-Level Software Engineer specializing in full-stack systems and authentication
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React
Mid-level SQL Developer specializing in MySQL, ETL, and cloud data pipelines
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
Naveen Kancharla
Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs
“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”
Ruthvika Mamidyala
Mid-level Data Scientist specializing in GenAI, RAG, and predictive modeling
“Backend engineer who built and evolved Python/FastAPI services (including AWS-deployed ML prediction APIs) for real-time profitability and risk insights at TenXengage. Emphasizes pragmatic architecture, strong validation/observability, and secure access controls (RBAC + row-level filtering), and has led safe migrations via parallel runs and incremental rollouts; reports ~20% forecasting accuracy improvement.”