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Vetted Neural Networks Professionals
Pre-screened and vetted.
Leelakarthik Devisetty
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
“Data professional with ~4 years of experience, most recently at AIG (insurance), building ML/NLP systems for fraud detection and policy automation using transformers, CNNs, and clustering/anomaly detection. Also developed a RAG-based knowledge retrieval system, iterating across embedding models and moving to production based on precision and latency SLAs, then containerizing and deploying with SageMaker and CI/CD.”
Lavanya Nandan Deole
Intern software engineer specializing in AI, mobile, and distributed systems
“Entry-level candidate who built NYC Lens, a real-time Gemini-based multi-agent system that processes live camera input, identifies landmarks, and returns structured contextual insights. Despite being a fresher, they show hands-on experience with deployment on Cloud Run, modular orchestration, noisy-data handling, and reliability patterns like retries, fallbacks, and explicit state management.”
“Built and owned a production RAG-based conversational AI system at Entera for real estate analysis, taking it from experimentation through AWS deployment, monitoring, and iterative improvement. Demonstrates strong practical judgment in retrieval design, LLM safety, and scalable Python service architecture, with measurable impact including 30-40% reduction in manual analysis time and roughly 30% better response accuracy.”
Saketh Kota
Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”
Entry-level Aerospace & Robotics Engineer specializing in spacecraft systems and autonomous robotics
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and AI security
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI, NLP, and predictive modeling
Mid-level Prompt Engineer specializing in Generative AI and RAG systems
Mid-level AI/ML Engineer specializing in credit risk, NLP, and fraud detection
Intern Full-Stack & Generative AI Engineer specializing in LLM apps and RAG
Mid-Level Full-Stack Developer specializing in AI-driven web apps and real-time audio collaboration
Mid-level Full-Stack Software Engineer specializing in cloud-native web applications
Mid-level Supply Chain Analyst specializing in demand forecasting and inventory optimization
Mid-level Software Developer specializing in backend systems and AI-powered applications
Senior Machine Learning Engineer specializing in forecasting, anomaly detection, and MLOps
Intern Full-Stack Software Engineer specializing in AI and cloud marketplace search
Mid-level Software Engineer specializing in full-stack development, QA automation, and LLM applications
Intern AI/ML Engineer specializing in voice AI and FinTech platforms
Entry-Level Software Engineer specializing in full-stack, data visualization, and applied AI
Mid-level Full-Stack Software Developer specializing in FinTech and distributed systems
Junior Software Engineer specializing in AI, LLMs, and backend systems
Mid-Level Full-Stack Software Engineer specializing in modern web apps