.png){kind=logo}
Vetted gRPC Professionals
Pre-screened and vetted.
Chau An
Senior Full-Stack Software Engineer specializing in Healthcare IT and FinTech
“Backend/platform engineer building HIPAA-compliant, real-time healthcare systems: owned a Python/Flask API layer for an AI-enabled patient engagement and risk scoring service, implemented PHI-safe logging and cross-service auditability, and delivered Kubernetes microservices via ArgoCD GitOps. Also has experience with Kafka streaming pipelines and hybrid cloud-to-on-prem migrations in regulated healthcare/fintech environments.”
Srushti Manjunath
Mid-level Data Scientist specializing in NLP, LLMs, and cloud ML platforms
“LLM/MLOps engineer who has shipped production systems for complaint intelligence and contact-center NLU, including LoRA/RLHF-tuned LLaMA models deployed on GKE with vLLM and Vertex AI batch pipelines to BigQuery. Demonstrates strong practical focus on hallucination control, data imbalance mitigation, and production monitoring (Langfuse) with regression testing and canary rollouts, plus experience orchestrating complex workflows with AWS Step Functions.”
Sohan Kshirsagar
Junior Software Engineer specializing in cybersecurity and cloud-native AI
“Backend-focused full-stack engineer who built an MVP at Neon AI for PhD students: a FastAPI backend integrating multiple cloud and local LLMs plus a RAG pipeline with session/identity management, designed to be modular and extensible across domains. Also has VMware experience debugging production issues and executing safe, API-compatible refactors with staged rollouts and strong security controls.”
Geetha Sri Kasu
Mid-level Software Engineer specializing in Java/Spring Boot, Kafka, and AWS
“Software engineer who owned an end-to-end self-service reporting workflow (secure APIs, async/batched processing, and React UI), improving report generation performance by ~30–40% and reducing manual support effort. Also built a RAG/embeddings prototype over internal docs and service logs with grounding-focused guardrails, and has a strong reliability/observability mindset (retries, DLQs, CI/CD validation, dashboards/tracing) for distributed workflows.”
Mid-Level Full-Stack Java Developer specializing in FinTech microservices
Staff Software Engineer specializing in cloud-native healthcare platforms and ML systems
Mid-level AI/ML Engineer specializing in NLP/LLMs and real-time data pipelines
Mid-Level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Mid-Level Software Engineer specializing in distributed systems and cloud data pipelines
Intern Software Engineer specializing in cloud-native backend and AI orchestration
Senior Software Engineer specializing in cloud-native microservices and distributed systems
Mid-level Software Engineer specializing in cloud-native microservices, MLOps, and GenAI
Senior Full-Stack Software Engineer specializing in FinTech and distributed systems
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Mid-level Machine Learning Engineer specializing in computer vision and LLM systems
Junior Software Engineer specializing in full-stack web and ML systems
Senior Backend & Distributed Systems Engineer specializing in Payments and FinTech
Mid-level Full-Stack Software Engineer specializing in AI, cloud platforms, and compliance
Intern Software Engineer specializing in cloud, ML, and real-time audio streaming
Senior Software Engineer specializing in cloud-native SaaS and platform engineering