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Vetted TensorFlow Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI risk scoring
Senior Full-Stack & AI/ML Engineer specializing in cloud-native platforms and LLM systems
Mid-level AI Engineer specializing in LLM agents, RAG, and enterprise GenAI
Intern Data Scientist specializing in NLP and Large Language Models
Mid-level Full-Stack Developer specializing in FinTech and fraud detection
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Intern Software Engineer specializing in cloud governance and distributed systems
Junior Multimodal AI & Systems Engineer specializing in robotics and cloud infrastructure
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level AI/ML Engineer specializing in MLOps, distributed ML, and RAG pipelines
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Senior Applications Engineer specializing in ERP Financial Systems and GenAI automation
VP Data Engineer specializing in AI-driven analytics platforms for investment management
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
Keith Aumiller
Director-level Data & AI Leader specializing in enterprise transformation
“Built Cigna Health’s risk-based management/monitoring system used as a primary product for pharmaceutical clients, supporting clinical trials and utilized during the COVID-19 pandemic. Currently running a community-based startup (details kept proprietary) and is open to executive roles or joining a strong team with a clear path to success, evaluating opportunities via ROI.”
Matthew Mullins
Senior Software Engineer specializing in AI/ML backend and cloud infrastructure
“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”
Hari Kiran Reddy Rommala
Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms
“LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.”