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Vetted ETL Pipelines Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in MLOps, real-time ML, and LLM/RAG systems
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale
Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Mid-level Full-Stack Software Engineer specializing in AI platforms and LLM applications
Senior Software Engineer specializing in backend and data systems
Staff Software Engineer specializing in cybersecurity and AI platforms
Intern Full-Stack Software Engineer specializing in scalable web platforms
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Staff Software Engineer specializing in backend platforms and FinTech/SaaS systems
Mid-level Software Engineer specializing in cloud-native AI/ML and full-stack systems
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
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.”