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Vetted SciPy Professionals
Pre-screened and vetted.
Prahlad Vivek
Intern Robotics Engineer specializing in robot learning, SLAM, and control
“Robotics architect intern/new-grad focused on warehouse AMRs, building ROS2 sensor-fusion and SLAM stacks (FastSLAM-style particle filter) and validating in Gazebo with ground-truth metrics. Also interned at ASML debugging real-time in-vacuum robot behavior via Python state-machine telemetry scripts, identifying a firmware driver issue impacting throughput.”
Het Maheshkumar Sekhalia
Entry-level Robotics Researcher specializing in autonomy, motion planning, and control
“Robotics software engineer focused on simulation-first autonomy and learning: implemented TD3 and CLIP-guided pretraining for physics-based humanoid skill learning in Isaac Gym/DeepMimic. Also built a ROS2 + dual-Docker closed-loop stack for an autonomous wheel loader in Isaac Sim, combining global planning, B-spline smoothing, and real-time NMPC control.”
Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs
Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems
Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and on-device ML
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Mid-level Computer Vision Engineer specializing in robotics perception and mapping
Mid-level Software Engineer specializing in AI infrastructure and machine learning
Mid-level Product Manager specializing in AI/ML data products for FinTech
Angel Contreras
Senior Data Scientist specializing in machine learning, NLP, and MLOps
“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”
SAI RAM VARMA Budharaju
Mid-level Software Engineer specializing in backend, distributed systems, and ML-integrated platforms
“Built and shipped production AI systems spanning customer support automation at Uber, privacy-preserving federated health modeling on iOS, and an open-source semantic search layer for Postgres. Stands out for combining strong LLM/product instincts with rigorous eval design, measurable production impact, and zero-to-one execution across backend, mobile, and developer infrastructure.”
Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and real-time recommendation systems
Senior Data & ML Engineer specializing in big data platforms and marketing/ads ML
Intern Computer Vision/ML Engineer specializing in mapping, localization, and scalable inference