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Vetted Microsoft SQL Server Professionals
Pre-screened and vetted.
Director-level Engineering Leader specializing in platform, data, and cloud systems
Senior Software Engineer specializing in healthcare integrations, microservices, and AI-assisted systems
Mid-level Full-Stack Software Engineer specializing in cloud-native web and real-time systems
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Senior Software Engineer specializing in cloud-native microservices and real-time data pipelines
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics
Mid-level Growth & Lifecycle Marketer specializing in SEO/SEM and marketing automation
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows
Mid-level Full-Stack Developer specializing in microservices and AWS DevOps
Senior Software Engineer specializing in cloud platforms and real-time collaboration
Senior Software Engineer specializing in full-stack web platforms, SEO, and microservices
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Nandini Kosgi
Mid-level AI/ML Engineer specializing in LLMs, RAG, and fraud/risk analytics in Financial Services
“Built and shipped a production-grade GenAI Fraud & Compliance Investigation Copilot for a large US bank, integrating OCR docs, structured data, and prior case history to generate grounded, regulator-friendly summaries and red-flag highlights. Demonstrates strong end-to-end LLM systems engineering (LangGraph/LangChain, hybrid retrieval with FAISS+BM25, guardrails/citations, streaming/latency optimization) plus rigorous evaluation and close partnership with compliance stakeholders.”
Nagatheja Sharaf
Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics
“React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.”
Vyas Cholayil
Mid-Level Software Engineer specializing in Python automation, DevOps, and microservices
“Backend-focused engineer who built an internal wiki LLM chatbot end-to-end using FastAPI, Kubernetes, and ChromaDB vector search, including frontend integration. Also has strong DevOps/migration experience—automating large work-item and repo migrations (Jira/FogBugz/ADO on-prem to cloud) via Python scripts, JSON mappings, REST APIs, and validation test suites.”
Sahithi S
Mid-level AI/ML Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production generative AI chatbot at NVIDIA using LangChain + GPT-3 integrated with internal data sources, cutting response time nearly in half and improving CSAT by ~12 points. Also delivered LLM-driven QA tools by fine-tuning Hugging Face transformer models and deploying via an AWS-based pipeline (Lambda/Glue/S3) with orchestration (Airflow/Step Functions), CI/CD, Kubernetes, and monitoring (MLflow/Splunk/Power BI).”