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Vetted scikit-learn Professionals
Pre-screened and vetted.
Senior Systems Engineer specializing in distributed ML infrastructure
Mid-level Data Engineer specializing in analytics engineering, ML forecasting, and modern data stacks
Mid-level Generative AI Engineer specializing in LLMs, NLP, and multimodal systems
Senior Data Engineer specializing in cloud-scale pipelines and legal data utilities
Mid-Level Software Engineer specializing in backend microservices and cloud automation
Executive IT & Software Development Leader specializing in cloud-native transformation and trading platforms
Mid-level Financial Analyst specializing in banking and credit-risk analytics
Mid-level Business Analyst specializing in finance, data analytics, and AI infrastructure
Entry-level Software Engineer specializing in data pipelines and applied AI
Junior AI Engineer specializing in enterprise LLM and FinTech systems
Senior Software Engineer specializing in AI-powered backend and data platforms
Senior Software Engineer specializing in full-stack SaaS, AI workflows, and FinTech
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Vighanesh Sharma
Mid-level Software Engineer specializing in cloud-native platforms and healthcare systems
“Backend engineer with healthcare-domain experience building a security-critical RBAC identity/authentication/authorization microservice suite used across hospital imaging platforms (X-Ray, Ultrasound, etc.). Demonstrates strong security mindset (mTLS, cert hygiene, JWT, pen-testing collaboration) and pragmatic scaling/reliability practices (Nginx load balancing, Redis caching, automated tests, canary rollouts).”
Ashutosh Choudhari
Mid-level AI/ML Engineer specializing in LLM applications and cloud-native systems
“LLM engineer who has shipped production AI systems, including an RFP requirements extraction platform (OpenAI o4-mini + Azure AI Search + FastAPI) achieving 90%+ accuracy and ~5x throughput through grounding, structured outputs, parallelization, and caching. Also partnered with legal/compliance stakeholders at Nexteer Automotive to deliver an AI document comparison tool with traceability and confidence indicators, adopted by non-technical users and saving ~2 FTEs of review time.”
Devisri Veeramachaneni
Senior Software Engineer specializing in cloud backend systems and LLM-powered agents
“Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.”
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.”