Vetted Neural Networks Professionals

Parth Vadera

Screened

Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps

Tracy, CA11y exp

“ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.”

Yishi Wang

Screened

Junior Machine Learning & Data Science professional specializing in LLMs and analytics

Chicago, IL3y exp

“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”

“Engineering leader with deep hands-on experience across eCommerce, retail commerce, regulatory tech, and IP PBX systems, including building a no-code web application platform. Has managed organizations of up to 65 people while staying involved in architecture and production debugging, and cites measurable impact such as 50% efficiency gains, 100% productivity improvement, and 90% error reduction through partner/API remediation.”

Jourdan Smith

Screened

Executive UX design and research leader specializing in AI, voice, and digital commerce

Chicago, IL15y exp

“Product and UX leader with high-profile experience across Amazon Prime Wardrobe, Amazon Fashion, and Alexa smart home, plus consulting work for large enterprises like Hy-Vee. Particularly compelling for roles at the intersection of product, design, and AI: they’ve built zero-to-one consumer experiences, applied ML to reduce fashion returns, and led scalable UX systems across complex ecosystems while navigating heavyweight enterprise politics.”

“Robotics software engineer with internship experience at John Deere and AeroVironment, working across C++/Python stacks and ROS2-based systems. Drove a proof-of-concept migration from an x86/FPGA target to NVIDIA GPU solutions and helped turn a hackathon prototype into a production-ready, CI/CD-driven build-and-deploy workflow with comprehensive automated testing.”

Elena Georgieva

Screened

Mid-level Audio Research Scientist specializing in perceptual audio and ML

Brooklyn, NY8y exp

“Research-oriented candidate with internship experience at Apple and multiple audio/ML projects spanning speech processing evaluation, listener studies, CLAP-based audio workflows, and music prediction. They stand out for combining experimental design, statistical analysis, and applied machine learning in ambiguous research settings, including building a new onset-detection dataset and presenting VoiceFX work at workshops.”

“Machine learning/AI engineer focused on agentic product experiences, including a parts-finding assistant and other AI-driven tools. Has worked on reinforcement learning projects, agent state management, and making AI understandable for non-technical users through visuals and simplified explanations.”

“Built and deployed a production RAG-based semantic search and summarization system for large legal/technical document sets, owning the full backend (embeddings, vector store, chunking, prompting) and driving a reported 40–60% reduction in manual review time. Experienced with LangChain/LlamaIndex plus Airflow/Temporal-style orchestration, and applies rigorous evaluation/monitoring (A/B tests, drift detection, staged rollouts) to keep agentic systems reliable. Also partnered with a supply-chain manager at TE Connectivity to deliver an AI inventory recommendation tool projected to drive millions in value.”

Pranav Hariharane

Screened

Mid-Level Backend Engineer specializing in REST APIs and AWS

SF Bay Area, CA3y exp

“Backend engineer who built a new REST eligibility service at Barclays that unified siloed account logic (card/loan/deposit) and integrated with web/mobile, ultimately serving millions of users daily. Also built an end-to-end LLM-based pharmaceutical care-plan generation tool in a rapid Columbia startup competition, emphasizing configurable design, strict validation, persistence, and robust error handling.”

“Former VC and angel investor with board experience (Sand Hill Angels) who has raised money for their own companies and helped over two dozen companies prepare for fundraising and M&A. Strong fit for CEO roles in venture-backed environments given extensive capital markets and deal-prep exposure.”

“Robotics software engineer with Stanford coursework and Georgia Tech research experience, focused on end-to-end autonomy for mobile manipulation and real-time planning under uncertainty. Built a ROS 2 LoCoBot system combining Gemini speech-to-text, YOLO-based RGB-D perception, navigation, and grasping with robust synchronization/TF fixes, and developed an information-theoretic UGV planner for radiological source localization validated via Monte Carlo simulation.”