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Vetted Amazon SageMaker Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Senior AI/ML Engineer specializing in computer vision, GenAI, and 3D spatial analytics
Mid-level Software Engineer specializing in GenAI and distributed systems
Junior Full-Stack Engineer specializing in AI agents, RAG, and distributed systems
Executive CTO specializing in AI, cloud, and regulated SaaS platforms
Mid-level Data Scientist / ML Engineer specializing in LLMs and predictive analytics
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Executive Engineering Leader specializing in data platforms and SaaS
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Anshul Joshi
Mid-Level Software Engineer specializing in distributed systems and GenAI
“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”
KrishnaVarshith Pabbisetty
Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI
“Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.”
Mounika Nadendla
Senior Data Engineer specializing in cloud data platforms and real-time streaming
“Data engineer focused on building reliable, production-grade data systems end-to-end: batch and real-time pipelines (Airflow/Kafka/Spark) with strong data quality, monitoring/alerting, and incident response. Has experience integrating external API/web data with retries, throttling, and schema-change handling, and serving curated datasets to analytics (Power BI) and backend consumers with performance optimizations like Redis caching.”
Senior Machine Learning Engineer specializing in AI systems, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems
Senior Machine Learning Engineer specializing in MLOps and Generative AI