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Vetted NumPy Professionals
Pre-screened and vetted.
Mid-level Business Analyst specializing in data analytics and financial systems
Senior Customer Success & Technical Account Leader specializing in AI/ML infrastructure
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Intern Biomedical Data Scientist specializing in healthcare AI and LLM-based clinical NLP
Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Senior Machine Learning Engineer specializing in LLMs and Generative AI
Junior Robotics Engineer specializing in autonomous systems and robot learning
Junior AI Software Engineer specializing in LLM systems and retrieval (RAG)
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Mid-level Software Engineer specializing in AI infrastructure and machine learning
Ashish Ernest Jeldi
Senior Data Scientist specializing in LLMs, agentic AI, and MLOps
“Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.”
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”
Yifei Tang
Intern Machine Learning Engineer specializing in vision-language models and robotics
“Robotics software engineer with hands-on experience building a vision-guided grasping pipeline on a 7-DOF Franka arm, implementing gradient-based IK with null-space optimization and RRT* motion planning in ROS1. Strong in sim-to-real deployment and real-world debugging—addressed frame misalignment via hand-eye calibration and centralized TF configuration, and reduced replanning/jitter by tuning a weighted pose filter using rosbag replay and variance/grasp-time metrics. Also built an ESP32-based mobile robot architecture combining embedded decision-tree control with WiFi/web high-level commands.”
Gowri Kajipuram
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multimodal deep learning
“ML/LLM engineer who has built and productionized a large multimodal LLM pipeline end-to-end—fine-tuning a 20B+ parameter model with distributed/FSDP training and deploying on Kubernetes via Triton for ~5x throughput. Strong focus on reliability and safety (monitoring with SHAP, guardrails, A/B testing) with reported ~22% relevance lift and reduced harmful/incorrect outputs, plus experience orchestrating ETL/retraining workflows with Airflow across S3/Snowflake/RDS.”