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Vetted SciPy Professionals
Pre-screened and vetted.
Vishanth Iyer
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Senior Software Engineer specializing in backend systems, data platforms, and FinTech
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Karthikeyan Subramanian
Junior Software Engineer specializing in distributed systems and machine learning
“Google backend engineer with strong experience in large-scale identity, membership, and access-control systems. Notable work includes reconciling customer IDs across 2B+ roster records and leading a 0-to-1 Drive sharing feature to classify external users as crossover members, with a strong emphasis on correctness, rollout safety, and low-latency service design.”
Sabrish Kumar Pradeep Kumar
Mid-Level Software Engineer specializing in data pipelines, observability, and analytics
“Meta engineer who improved a critical revenue estimation dataset pipeline that was arriving ~6 days late—diagnosed via raw logs/lineage, redesigned legacy scans to only process the needed window, and shipped validation plus freshness/lag dashboards. Delivered ~50% latency reduction (to ~3 days) and regained adoption by running old/new pipelines in parallel with gated cutover and evidence-based customer communication. Applies incident-response rigor to real-time LLM/agentic workflow debugging and regularly runs developer demos/workshops.”
Ahmed Sadaqat
Senior Machine Learning Engineer specializing in production ML and predictive analytics
“ML/AI engineering leader who has owned end-to-end production systems from experimentation through deployment, monitoring, and iteration at meaningful scale. They describe running a 1M+ records/day prediction platform with 99.9% availability, shipping a RAG-based conversational AI feature for 50,000 active users, and consistently improving precision, latency, reliability, and cost with measurable business impact.”
Intern AI/ML Engineer specializing in LLM agents, RAG, and low-latency systems
Senior Strategy & Operations Leader specializing in AI and data-driven transformation
Intern Machine Learning Engineer specializing in optimization, federated learning, and LLMs
Principal Data Scientist specializing in AI and quantitative investment strategies
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Data Scientist specializing in large-scale ML systems and recommendations
Senior Applied AI Engineer specializing in LLMs, NLP, and production AI systems
Mid-level Software Engineer specializing in ML-driven software testing and developer tools
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Christopher Bun
Executive AI/ML technology leader specializing in healthcare, biotech, and legal AI
“Repeat founder and startup advisor with experience spanning academic, health tech, legal tech, sports, and gaming. Has participated in fundraising and due diligence and has built companies, engineering teams, and software platforms from scratch, with a strong product-design-first approach to product-market fit and market selection.”
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.”