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Vetted Sentiment Analysis Professionals
Pre-screened and vetted.
Mid-level Software & ML Engineer specializing in cloud data platforms and MLOps
Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable ML platforms
Senior Data Scientist / ML Engineer specializing in NLP and Generative AI
Mid-level AI/ML Engineer specializing in LLMs, NLP, and scalable ML pipelines
Mid-level Data Scientist specializing in ML, NLP, and production AI workflows
Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Mid-level Data Scientist / ML Engineer specializing in LLMs and predictive analytics
Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems
Mid-Level Software Engineer specializing in Java/Spring Boot microservices and cloud DevOps
Mid-level AI/ML Software Engineer specializing in Generative AI and NLP
Rithindatta Gundu
Mid-level AI/ML Engineer specializing in LLM systems and cloud MLOps
“Built a production LLM-powered fraud detection platform at Wells Fargo, combining OpenAI/Hugging Face models with RAG-based explanations to make flagged transactions interpretable for risk and compliance teams. Delivered low-latency, real-time inference at high scale on AWS (SageMaker + EKS), with strong observability and security controls, reducing manual reviews and false positives in a regulated environment.”
Jason Daniel
Executive Restaurant Operations Leader specializing in multi-unit growth and turnarounds
“Operations leader with repeated startup/entrepreneurial experience building internal operating systems from the ground up—creating department-by-department SOP/policy manuals and implementing KPI-driven management. Strong in diagnosing issues via operational/financial data and rolling out scalable people systems (structured interviews, training/certifications, onboarding) with retention measured across 14/30/60/90-day cohorts.”
Naga Gayatri Bandaru
Mid-level AI/ML Engineer specializing in MLOps and production ML systems
“Backend/ML engineer who has shipped high-scale real-time systems across e-commerce and healthcare: built a PharmEasy real-time recommendation engine for ~2M monthly users (cut feature latency 5 min→30 sec; +15% cross-sell) and architected a HIPAA-compliant multimodal clinical diagnostic workflow (DICOM+EHR) with XAI, MLOps (MLflow/Airflow/K8s), and drift/monitoring guardrails supporting 10k+ daily predictions.”
Hsi-Chun Wang
Mid-level Data Scientist specializing in LLM development and scalable ML pipelines
“Built and deployed production LLM pipelines for evidence-based scoring in two domains: biomedical literature mining (scoring ~2700 drug compounds vs gene targets/mechanisms) and long-horizon news analytics (35 years of Chinese articles). Emphasizes reliability at scale (retries/checkpointing/validation), rigorous empirical model benchmarking (GPT-4o/mini/5), and translating results into stakeholder-friendly visual narratives.”
Vishesh Sharma
Senior Full-Stack Java Developer specializing in cloud-native microservices and real-time web apps
“Full-stack engineer/product owner who built and scaled a customer-facing job application portal (Skillbridge) using TypeScript/React and Spring Boot/MongoDB, optimizing search performance with indexing, caching (Redis), and payload/lazy-loading improvements. Also built an internal AI-driven analytics dashboard for Salesforce operations using OpenAI sentiment analysis, achieving 70% reduction in manual analysis and driving adoption through demos and iterative feedback.”