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Vetted Hyperparameter Tuning Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in ML, computer vision, and data engineering
Mid-level Data Scientist specializing in LLMs, RAG, and personalization
Mid-level Data Scientist specializing in ML, NLP, and fraud/anomaly detection
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
Rojin Bakhti
Junior Software Engineer specializing in Edge AI and ML deployment
“Qualcomm engineer building Android applications that run on Qualcomm AI accelerators, with hands-on experience in C++ concurrency, chipset stress testing, and power/performance tuning. Has deployed on-device AI models and built deployment/log post-processing workflows using Docker/Kubernetes and CI/CD; interested in translating this embedded AI/performance background into robotics (perception/real-time systems).”
Meghashree N
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and cloud ML
“AI/ML engineer who has shipped both a safety-critical mental health RAG chatbot (Mistral 7B + Pinecone) with automated faithfulness/toxicity monitoring and a deep Q-learning investment recommendation engine at Lincoln Financial Group. Strong in production MLOps and orchestration (AWS Lambda/CloudWatch/SageMaker, Docker, AKS) and in translating regulated-domain requirements (clinical reliability, fiduciary duty) into measurable model constraints and monitoring.”
Vishnu Mukundan Thanikunathe Manoj
Junior AI/ML Engineer specializing in LLM agents, explainable AI, and computer vision
“Robotics/computer-vision engineer with industrial safety monitoring experience, building real-time pose estimation (TRTPose) and 2D-to-3D localization and optimizing pipelines to sustain 30+ FPS under heavy multi-entity load. Also brings edge-to-cloud distributed systems work (HoloLens + Google Vision/Translation) and production ML deployment experience using Docker/CI/CD across finance and edge camera environments.”
Junior Robotics Software Engineer specializing in GNSS localization, perception, and controls
Mid-level AI & Machine Learning Engineer specializing in production ML and LLM applications
Mid-level Machine Learning & Data Engineer specializing in MLOps and cloud data platforms
Mid-level AI/ML Engineer specializing in LLMs, agentic systems, and MLOps
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI