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Vetted gRPC Professionals
Pre-screened and vetted.
Executive Engineering Leader specializing in FinTech payments and real-time platforms
Software Engineering Intern specializing in backend APIs, Kafka data pipelines, and cloud systems
Senior Full-Stack Engineer specializing in cloud-native .NET microservices
Mid-level AI/ML Engineer specializing in GPU-accelerated LLM and vision systems
Senior Backend Engineer specializing in scalable AWS serverless and data pipelines
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Mid-level Site Reliability Engineer specializing in AI training infrastructure and GPU platforms
Mid-Level Software Engineer specializing in distributed systems and AI agent platforms
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems
Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure
Mid-level Full-Stack/Backend Software Engineer specializing in distributed systems and cloud
Mid-level Full-Stack Software Engineer specializing in distributed systems and GenAI platforms
Senior Backend Engineer specializing in Healthcare & Cloud Platforms
Mid-Level Full-Stack Software Engineer specializing in cloud-native systems and FinTech
Intern Full-Stack Software Engineer specializing in distributed systems and cloud services
Mid-level Software Engineer specializing in distributed systems and payments
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Gowri Kajipuram
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multimodal deep learning
“ML/LLM engineer who has built and productionized a large multimodal LLM pipeline end-to-end—fine-tuning a 20B+ parameter model with distributed/FSDP training and deploying on Kubernetes via Triton for ~5x throughput. Strong focus on reliability and safety (monitoring with SHAP, guardrails, A/B testing) with reported ~22% relevance lift and reduced harmful/incorrect outputs, plus experience orchestrating ETL/retraining workflows with Airflow across S3/Snowflake/RDS.”
Shiting Ding
Mid-level Software Engineer specializing in Ads backend and ML infrastructure
“Customer-facing technical professional with Amazon incident-management experience who helps drive adoption of complex ML/LLM solutions by delivering hands-on demos and rapid model fine-tuning. Applies a disciplined debugging approach (repro + logs/metrics + severity triage) and maintains runbooks to resolve SEV2 issues in ~1 hour, while also partnering with sales/customer teams to ship patches and new features based on feedback.”
Swayambhu Raparti
Executive Technology Leader in AI/ML, cloud platforms, and biotech/healthcare data systems
“Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.”
Zahaan Khan
Mid-Level Full-Stack Software Engineer specializing in ads transparency platforms
“TikTok engineer (4 years) who built and owned multiple ad transparency platforms used by internal teams and advertisers worldwide. Strong full-stack profile spanning Next.js/TypeScript + Redux frontends, a secure/optimized BFF layer, and event-driven backend workflows (Kafka, retries/DLQ, Redis idempotency) with heavy emphasis on observability and performance; cites a 20% moderation efficiency gain on a modernized legacy tool.”