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Vetted SQL Query Optimization Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend microservices and cloud applications
Mid-level Software Engineer specializing in full-stack AI and cloud-native systems
Mid-level Software Engineer specializing in distributed systems and FinTech
Senior Java Full-Stack Engineer specializing in AI-integrated cloud microservices
Mid-level Software Engineer specializing in distributed backend systems for FinTech
Junior Software Engineer specializing in backend distributed systems
Senior Full-Stack Software Engineer specializing in .NET enterprise web systems
Senior Software Engineer specializing in cloud-native backend and data platforms
Mid-level Frontend Engineer specializing in scalable enterprise web applications
Senior Software Engineer specializing in healthcare and supply chain systems
Mid-level Full-Stack Java Developer specializing in enterprise and FinTech systems
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms
Harshini Kanamathareddy
Mid Software Engineer specializing in iOS, backend systems, and AI-powered applications
“Full-stack/backend engineer with experience spanning React/TypeScript, Flask, Spring Boot, SQL databases, and production mobile optimization. They’ve shipped features end to end, improved query performance and app startup/crash metrics, and helped drive a configuration-driven architecture that enabled faster releases across 30 consumer applications.”
mohannaik M
Mid-level Full-Stack Software Engineer specializing in Java microservices and cloud platforms
“Open-source JavaScript library contributor/maintainer focused on performance and usability—uses profiling and user feedback to optimize large-dataset processing and modernize abstractions. Refactored a nested-callback event handling system into an observer-pattern dispatcher with batched event queues, reducing CPU usage and improving maintainability; also handles community-reported crashes by reproducing issues, fixing memory leaks, and updating docs.”
Bhavya Surana
Junior Software Engineer specializing in distributed systems and AI automation
“Backend engineer/technical lead with experience building and operating real-time blockchain analytics systems at Merkle Science. Owned high-traffic Django/DRF services and Kafka streaming pipelines processing millions of events daily, with deep focus on performance (N+1 fixes, indexing, caching) and reliability (DLQs, retries, monitoring). Also led containerization and Kubernetes/GitOps-style CI/CD on Google Cloud, including a migration off Google App Engine to reduce cost and improve scalability.”
GOWRI SHANKAR ANANTHULA
Mid-level Data Scientist & Generative AI Engineer specializing in LLMs and RAG
“ML/NLP practitioner who built a retrieval-augmented generation (RAG) system for large financial and operational document sets using Sentence-Transformers (all-mpnet-base-v2) and a vector DB (e.g., Pinecone), with a strong focus on retrieval evaluation and chunking strategy optimization. Experienced in entity resolution (rules + embedding similarity with type-specific thresholds) and in productionizing scalable Python data workflows using Airflow/Dagster and Spark.”
Ishwar Girase
Mid-level AI/ML Engineer specializing in LLMs, GenAI, and NLP
“AI/ML Engineer who built a production RAG-based LLM system for insurance policy documents, turning thousands of messy PDFs into a searchable index using LangChain, Azure AI Search vectors, hybrid retrieval, and FastAPI. Strong focus on evaluation (MRR/precision@k/recall@k, REGAS) and performance optimization (vLLM), with prior clinical NLP experience using BERT-based NER validated on ground-truth datasets.”