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Vetted Elastic Stack (ELK) Professionals
Pre-screened and vetted.
Dimple Joseph
Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization
“Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.”
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.”
YAKKALI PAVAN
Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems
“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”
“Data science/NLP practitioner with experience at NVIDIA and Microsoft building production-grade NLP and data-linking systems. Has delivered high-performing pipelines (e.g., F1 0.92) and large-scale entity resolution (F1 0.89), plus semantic search using embeddings and Pinecone with ~30–40% relevance gains, backed by rigorous validation (A/B tests, ROUGE, MRR) and strong MLOps/workflow tooling (Airflow, Databricks, FastAPI, MLflow, Prometheus/ELK).”
Senior DevOps Engineer specializing in Azure/AWS cloud infrastructure and CI/CD
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Senior AI & Data Engineer specializing in LLM agents, RAG, and data platforms
Executive Technology Leader (CTO/Principal Engineer) specializing in cloud-native platforms and AI
Staff AI/ML Engineer specializing in NLP, recommender systems, and Generative AI
Senior Software Engineer specializing in cloud payments, cryptography, and low-latency systems
Mid-Level Software Engineer specializing in FinTech payments and risk platforms
Mid-level Backend/Distributed Systems Engineer specializing in cloud observability and data ingestion
Senior Full-Stack Engineer specializing in Python, cloud platforms, and scalable web systems
Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Senior Full-Stack Engineer specializing in .NET, Cloud Architecture, and Angular
Senior Full-Stack Engineer specializing in Python, React, and AI-powered cloud applications
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Mid-level Full-Stack Developer specializing in Java microservices, React, and cloud AI platforms
Senior DevOps & Cloud Engineer specializing in multi-cloud platforms and Kubernetes GitOps