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Vetted NoSQL Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in recommender systems and LLM/RAG pipelines
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Mid-level AI & ML Engineer specializing in NLP, LLMs, and scalable ML systems
Technology Executive specializing in AI-native engineering and cybersecurity governance
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Executive Digital & Engineering Leader specializing in D2C omnichannel and AI transformations
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms
Executive Technology Leader specializing in Cloud, AI/IoT, and Cybersecurity
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Executive Engineering Leader specializing in AI-native healthcare platforms
Mid-level Software Engineer specializing in cloud infrastructure and distributed systems
Mid-level Software Engineer specializing in backend systems and FinTech
Mid-level Software Engineer specializing in backend systems, microservices, and AI search
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
Nehal Mahankali
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
“Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.”
Sanketh Reddy
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
“Data engineer focused on large-scale ETL/ELT pipelines across cloud stacks (GCP and AWS), including Spark-based transformations and orchestration with Airflow. Has experience loading up to ~2TB per BigQuery target table and designing atomic loads to multiple downstream systems (Elasticsearch + Kafka), with Kubernetes deployment and Jenkins CI/CD.”
Charles Amoyaw
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Infrastructure/operations engineer with hands-on IBM Power/AIX administration (LPAR/DLPAR, HMC, RMC) and PowerHA cluster failover experience, plus modern DevOps tooling across CI/CD, Kubernetes/Helm, and IaC (Terraform/CloudFormation/Ansible). Emphasizes controlled change management, drift prevention via Git-as-source-of-truth, and observability practices using Prometheus/Grafana.”
Sanjanay Reddy
Mid-level Backend Software Engineer specializing in cloud-native microservices
“Product-minded software engineer with experience shipping AI-powered financial insights (spend forecasting, cashflow, credit optimization) and building real-time analytics systems using React/TypeScript and FastAPI. Has designed microservices with RabbitMQ/gRPC and strong observability (Prometheus/Grafana/OpenTelemetry), and also built an internal Figma plugin adopted by designers that reduced export time by 50%.”