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Vetted MLOps Professionals
Pre-screened and vetted.
Ranjani Salla
Mid-level AI/ML Engineer specializing in LLMs, FinTech, and Healthcare IT
“Built production GenAI systems in both healthcare and financial services, including a Verily clinical platform and an Accenture financial Q&A product. Stands out for combining advanced RAG, fine-tuning, safety evaluation, and infrastructure engineering to deliver measurable gains in engagement, groundedness, hallucination reduction, and cost efficiency.”
Chappidi Sasi
Mid-level Machine Learning Engineer specializing in GPU-accelerated LLM training and inference
“ML/LLM engineer with production experience building a multi-GPU LLM inference platform using TensorRT and vLLM, achieving ~40% p95 latency reduction through batching/KV caching, quantization, and CUDA/runtime tuning. Also has end-to-end orchestration experience (Kubernetes, Airflow) and has delivered real-time fraud detection systems at Accenture in close collaboration with non-technical risk and product stakeholders.”
Roni HE
Mid-level Software Engineer specializing in distributed systems and ML infrastructure
“Senior software engineer candidate who uses AI and multi-agent workflows thoughtfully to speed up development while preserving engineering rigor for production-critical decisions. Stands out for a clear risk-based framework: leveraging agents for boilerplate, refactoring, testing, and debugging, while relying on fundamentals, metrics, and human review for system design and scalability.”
Lakshmi Narayana
Mid-level Data Science AI/ML Engineer specializing in Generative AI, LLMs, and RAG systems
“Built a production RAG-based "knowledge copilot" for support/ops using LangChain/LangGraph, implementing the full pipeline (ingestion, chunking, embeddings, vector DB retrieval/rerank, guarded generation with citations) and operating it as monitored microservices with CI/CD. Also designed an event-driven, streaming backend for real-time inventory ordering predictions that reduced stockouts by 25%, and has hands-on incident response experience stabilizing LLM API latency/5xx spikes using Datadog/APM and resilience patterns.”
Senior Software Engineer specializing in cloud-native, event-driven platforms and AI
Senior AI/ML Software Engineer specializing in LLM and RAG systems
Senior AI/ML Developer specializing in LLMs, RAG, and generative AI
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and GPU-accelerated deep learning
Mid-level Data Scientist specializing in LLMs, RAG, and personalization
Mid-level Machine Learning Engineer specializing in LLM inference and MLOps
Executive Technology Leader (CIO/CTO) specializing in cloud platforms, cybersecurity, and digital transformation
Executive financial technology leader specializing in AI, payments, and capital markets
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 Software Development Engineer specializing in AWS cloud, data pipelines, and MLOps
Mid-level Machine Learning Engineer specializing in recommender systems and LLM/RAG pipelines
Executive AI & Technology Leader specializing in enterprise data, GenAI, and digital transformation
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines