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Vetted seaborn Professionals
Pre-screened and vetted.
Intern Machine Learning Engineer specializing in RL post-training for LLMs and VLMs
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Mid-level Robotics & Firmware Engineer specializing in continuum robotics and SerDes validation
Gagan Mundada
Intern Machine Learning Engineer specializing in multimodal AI and evaluation benchmarks
“ML-focused candidate with beginner ROS/ROS2 experience (custom pub-sub nodes; TurtleBot3 SLAM simulation debugging via topic inspection and transform/orientation checks). Has research/project exposure to LLM training approaches (GRPO with pseudo-labels using Hugging Face TRL on Qwen/Llama) and uses Docker/Kubernetes + CI/CD to run ViT saliency-attention/compression workloads on UCSD Nautilus infrastructure.”
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).”
Shuju Sun
Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment
“Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).”
Sri Lekha Kandadai
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
“ML/AI engineer focused on production-grade model reliability: built a monitoring and validation framework to detect drift, trigger anomaly alerts/retraining, and maintain consistent performance for device intelligence workflows at scale. Strong MLOps background with Python pipelines, Docker/Kubernetes deployments, Airflow orchestration, and real-time monitoring dashboards; experienced partnering with product managers to deliver business-facing insights.”
Shubham Singh
Mid-level AI/ML Engineer specializing in speech, computer vision, and agentic GenAI
“Built and shipped a production multi-agent, voice-based conversational assistant for older adults’ daily health management using Vertex AI, FastAPI, Firebase/Firestore, and Cloud Run, with a custom cross-session memory design to keep responses context-aware at low latency. Also partnered with caregivers/elderly users and health officials, translating needs into workflows and explaining HIV risk predictions with SHAP and dashboards.”
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
Mid-level QA Engineer and Full-Stack Developer specializing in Apple platforms and ML
Junior GenAI/ML Engineer specializing in LLM agents and production NLP systems
Senior Software Engineer specializing in cloud-native full-stack and FinTech systems
Junior Robotics & AI/ML Engineer specializing in autonomous systems and computer vision
Mid-level Software Engineer specializing in AI/ML and full-stack systems
Mid-level AI/ML Engineer specializing in production ML, NLP, and computer vision
Mid-level Machine Learning Engineer specializing in GenAI, LLM agents, and MLOps
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Data Science Manager specializing in machine learning and predictive analytics in financial services
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics
Mid-level Data Engineer specializing in analytics engineering, ML forecasting, and modern data stacks