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Vetted Sentiment Analysis Professionals
Pre-screened and vetted.
Prashanth Kedri
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and predictive maintenance
“ML engineer with General Motors experience deploying production AI systems, including a BERT-based sentiment classifier for over a million customer support call transcripts (reported ~91% precision) and sub-200ms latency via FastAPI/Docker optimization. Also built predictive maintenance models and automated retraining/monitoring workflows using Airflow and MLflow, collaborating closely with non-technical customer support stakeholders.”
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.”
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%+.”
chetan sharma
Senior Product Manager specializing in AI-driven SaaS and product-led growth
“Product-focused candidate with live B2C/product-led growth experience who translates free-to-play game mechanics (onboarding as a core loop, progressive unlocking, nudges, variable rewards) into real-world web/mobile products. Strong in live experimentation, KPI-driven iteration, and monetization/retention measurement (DAU/MAU, funnels, LTV-focused A/B testing).”
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 Generative AI & Machine Learning Engineer specializing in LLMs, RAG, and multimodal AI
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and MLOps
Junior Full-Stack Developer specializing in cloud security and web applications
Mid-level Data Engineer specializing in cloud data pipelines, analytics, and AI/ML
Mid-level AI/ML Engineer specializing in Generative AI, RAG pipelines, and NLP
Mid-level Machine Learning Engineer specializing in NLP and recommender systems
Mid-level AI Engineer specializing in computer vision, NLP, and MLOps
Mid-level AI/ML Engineer specializing in healthcare analytics and fraud detection
Executive CTO / VP Engineering specializing in AI, Healthcare IT, and FinTech SaaS
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Mid-Level Software Engineer specializing in cloud-native FinTech and AI platforms
Mid-level Software Engineer specializing in AI/ML and FinTech platforms
Mid-level Software Developer specializing in Python, APIs, and cloud automation
Senior AI/ML Engineer specializing in LLMs, RAG, and enterprise GenAI systems
Mid-level ML Software Engineer specializing in Generative AI and fraud detection