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Vetted Neural Networks Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale
Mid-level Robotics & Firmware Engineer specializing in continuum robotics and SerDes validation
Junior Robotics & AI Engineer specializing in autonomous systems and machine learning
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Vidyaa KrishnanNivash
Mid-level Robotics Software Engineer specializing in perception and motion planning
“Robotics software engineer focused on ROS2 motion and calibration systems—built a trajectory generator/low-level controller using TOPPRA that improved robot motion speed by 11x while increasing accuracy. Experienced making high-frequency robot communication more real-time (core isolation) and shipping ROS2 modules via Docker-backed CI/CD, including serving as release manager coordinating reviews, release notes, and QA.”
Siyuan Peng
Engineering Manager specializing in enterprise SaaS, cloud analytics, and ML-driven systems
“Engineering leader who managed a 20-person cross-functional team building customer-driven software solutions, delivering a 50% reduction in simulation/test lifecycle and securing a long-term strategic SLA. Strong in scalable data ingestion architectures (FastAPI + Kafka + multiprocess workers), operational diagnostics (correlation IDs/centralized logging), and microservice decoupling for analytics/visualization. Active open-source contributor who shipped a NATS bug fix and improved SDK onboarding with automation that cut ramp time by 30%.”
Matthew Frank
Senior Machine Learning Engineer specializing in computer vision and LLM-powered analytics
“Machine learning engineer and startup veteran building InfraSketch (infrasketch.net), a full-stack system-design/diagramming product where users describe systems in plain English and an LLM agent generates and iterates on infrastructure graphs and exports design docs. Owns the entire stack (React/TS + FastAPI/Node, DynamoDB/Postgres, AWS serverless) and focuses on LLM consistency, modular agent architecture, and production-style CI/CD and reliability patterns.”
Yili Jin
Intern Software Engineer specializing in data systems and machine learning
“Internship experience at TikTok and nCino, with hands-on work spanning production Python data pipelines, recommendation-system feature workflows, Salesforce Apex automation, and flaky UI automation for a live stock recommendation platform. Stands out for a reliability-focused approach: anticipating failure modes, instrumenting observability, and turning ambiguous business processes into maintainable automated systems.”
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Mid-level Software Engineer specializing in cloud and full-stack web development
Junior GenAI/ML Engineer specializing in LLM agents and production NLP systems
Mid-level Machine Learning & Data Engineer specializing in MLOps and cloud data platforms
Mid-level Software Engineer specializing in AI-driven systems and scalable backend services
Mid-level Robotics/Mechatronics Engineer specializing in autonomous systems and robot manipulation
Intern AI/ML Engineer specializing in generative AI and multimodal agentic systems
Senior Business Analyst specializing in data analytics and business intelligence
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Nandini Kosgi
Mid-level AI/ML Engineer specializing in LLMs, RAG, and fraud/risk analytics in Financial Services
“Built and shipped a production-grade GenAI Fraud & Compliance Investigation Copilot for a large US bank, integrating OCR docs, structured data, and prior case history to generate grounded, regulator-friendly summaries and red-flag highlights. Demonstrates strong end-to-end LLM systems engineering (LangGraph/LangChain, hybrid retrieval with FAISS+BM25, guardrails/citations, streaming/latency optimization) plus rigorous evaluation and close partnership with compliance stakeholders.”
Leela Tikkisetty
Mid-level Software Engineer specializing in ML platforms and cloud-native backend systems
“Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).”
Alexander Goldberg
Executive Technology & Product Leader specializing in AI/AR SaaS and cybersecurity
“Engineering/technology leader with mission-critical experience at JPL NASA on the Mars Curiosity Rover, delivering an AI-driven navigation system designed for zero tolerance for mistakes and reportedly operating with no failures for 15+ years. Also led a monolith-to-microservices, cloud-native migration that improved scalability by 300% and cut deployments from days to hours, and is comfortable switching between executive fundraising/stakeholder communication and deep technical leadership.”
Chitra Uppalapati
Entry-level Software Engineer specializing in full-stack and machine learning applications
“Built production Python data integrations and dashboard automation for incident analytics, with a strong focus on data quality, observability, and reliability for leadership-facing reporting. Also translated an ambiguous manual creator evaluation process at startup Spring into an automated predictive scoring feature, showing a blend of backend data engineering, test automation, and cross-functional product thinking.”