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Vetted TDD Professionals
Pre-screened and vetted.
Saurabh Sharma
Senior Salesforce Technical Lead specializing in enterprise CRM and integrations
“Salesforce-focused candidate with hands-on experience delivering Service Cloud automation, including entitlement/SLA escalation workflows, and building multi-component Lightning UI frameworks. Brings a mix of native-platform design, custom Apex extension, LWC architecture, and legacy Aura maintenance experience.”
Travis Johnson
Senior Full-Stack Software Engineer specializing in FinTech payments and fraud systems
“Backend/data engineer with production experience building credit/fraud enrichment services and checkout pipelines on AWS (EKS + Lambda) using FastAPI, Kafka, Postgres, and Redis, with a strong focus on reliability patterns (timeouts/retries/circuit breakers) and observability. Has also built AWS Glue/PySpark ETL into S3/Redshift with schema evolution and data quality controls, and modernized legacy credit decisioning into Java/Node microservices with parallel-run parity validation and feature-flag rollouts.”
Mid-level Software Engineer specializing in FinTech and compliance systems
Senior DevOps Engineer specializing in cloud security, automation, and data pipelines
Senior Full-Stack Engineer specializing in Python, AI automation, and cloud microservices
Senior Software Engineer specializing in cloud-native full-stack and FinTech systems
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Software Engineer specializing in scalable platforms and AI-driven personalization
Senior Full-Stack Software Engineer specializing in SaaS and healthcare platforms
Senior Backend Engineer specializing in cloud-native Python microservices
Principal AI Engineering Leader specializing in ML, computer vision, and signal processing
Mid-level Full-Stack Software Engineer specializing in healthcare and cloud systems
Director-level engineering leader specializing in MedTech software, systems architecture, and DevSecOps
Senior Backend Engineer specializing in cloud-native microservices and real-time streaming
Senior Full-Stack Engineer specializing in cloud-native SaaS platforms
Mid-level Full-Stack Developer specializing in cloud-native FinTech and Healthcare IT
Rohith Sadanala
Mid-level Machine Learning Engineer specializing in Generative AI and MLOps
“LLM/agent engineer who has shipped production RAG chatbots in sustainability-focused domains, including a packaging recommendation assistant that standardized messy user inputs and used Pinecone-backed retrieval over product/regulatory data. Experienced orchestrating end-to-end ML workflows with Airflow and AWS Step Functions/Lambda, emphasizing reliability (property-based testing, circuit breakers, OpenTelemetry) and measurable performance (latency/cost). Partnered closely with non-technical leadership to ship 3 weeks early, driving adoption by 150+ businesses and ~20% reported waste reduction.”
“Built end-to-end LLM/RAG systems for biological data and scientific literature analysis in a drug discovery setting, helping researchers explore disease insights and treatment hypotheses faster. Combines applied GenAI product work with strong production engineering, including monitoring, retrieval optimization, reusable Python services, and scalable deployment on AWS/Kubeflow.”