Vetted Machine Learning Professionals

“Product leader with deep healthcare experience who has shipped 50+ products, including a mobile app platform adopted by 120+ health plan clients and AI-enabled pharma tools that moved from plan-level to patient-level insights. Former high school science and math teacher who brings a distinctly human-centered, emotionally aware approach to product design, while also driving Agile transformation, mobile-first/API-first modernization, and scalable operational change.”

Cole Bonawitz

Screened

Junior founder and product builder specializing in e-commerce, hardware, and software

Durham, NC5y exp

“Early-stage startup operator and founder who combines sales, GTM, and technical execution. Built a custom CRM for Swoop Tutors to send personalized outbound from Duke email accounts and track performance, helping generate traction that later contributed to a six-figure ARR client; also building Wind, a usage-based billing startup for small AI companies.”

Arya Thorat

Screened

Mid-level Software Engineer specializing in distributed cloud-native FinTech systems

Texas, USA5y exp

“Full-stack/backend engineer with deep experience building real-time fraud and credit-risk systems. Shipped an event-driven fraud monitoring platform (Kafka→MongoDB/Redis→WebSockets) delivering sub-200ms updates to 3000+ concurrent internal users, and built a Java/Spring Boot credit risk decisioning API that improved turnaround time by 30–40%. Strong AWS production operations (ECS Fargate/RDS/Redis) with proven incident response and performance tuning.”

“Founder and Head of Product who built Cloud Institute around a contrarian AI-plus-human coaching thesis, launching adaptive learning, personalized pathing, and 24/7 expert support that drove 91% retention and $1.2M ARR in 18 months. Particularly compelling for mission-driven EdTech or human-centered AI roles: they combine hands-on product leadership, team building, and a clear philosophy that AI should deepen trust and learning rather than replace people.”

Adam Williams

Screened

Senior Software Engineer specializing in full-stack distributed systems

Remote8y exp

“Mailchimp engineer with unusually broad full-stack ownership, spanning React/TypeScript front ends, Go services, and Java/Spring Boot GraphQL platforms. Stands out for building a monolith-replacement campaigns widget in just four weeks while navigating new multi-region Aurora DSQL infrastructure, and for pairing strong product sense with pragmatic migration and reliability decisions in a B2B SaaS environment.”

“Full-stack engineer who built BrewAI, a cloud-native AI resume optimization platform on GCP using React, TypeScript, LangChain, and Gemini, with scalable async job processing and LLM safety guardrails. The product gained real-world traction when an undergraduate college in India asked students to use it for internship resume drafting, and the candidate also has team lead experience shipping an early-stage ERP system.”

Daniel Waine

Screened

Senior Unity Engineer specializing in VR games and AI tooling

New York City, NY9y exp

“Unity gameplay engineer with end-to-end ownership across systems, tools, UI, networking, and VR porting. Notably introduced an agentic automated test bot that cut regressions by 40% and led a PC-to-Quest port that achieved a 4x memory reduction while preserving quality. Strong collaborator who unblocks stalled features by aligning design requirements with scalable technical architecture.”

“Front-end engineer with experience building sophisticated logistics analytics dashboards for Delta Air Lines operations teams, handling real-time shipment and transportation data across millions of records. Stands out for combining React/TypeScript architecture, browser-level performance debugging, and usability improvements for demanding operational users.”

“Backend and full-stack engineer with experience spanning an academic collaboration platform and Comcast voice services. Stands out for measurable performance wins across the stack—30% faster page loads, 40% better throughput, and 25% lower server load—while working on reliability-sensitive production systems handling live voice traffic.”

“Full-stack engineer with experience at Wipro and Cisco building real-time monitoring and observability platforms from scratch. Stands out for combining streaming/data-pipeline depth (Kafka, Fluentd, Elasticsearch, Redis) with strong React/TypeScript frontend execution, and for delivering measurable impact such as cutting troubleshooting time by nearly a third.”

Saikrishna Chandhrasekhar

Screened

Entry-Level Software Engineer specializing in systems, web development, and applied cryptography

College Station, TX

“Worked on CI/CD for a project called NXTFolio, including writing acceptance tests in Cucumber. Also collaborated with customers/operators via weekly check-ins to understand needs and align technical work to requirements.”

“Applied NLP/ML engineer with experience at KeyBank and Novartis building production document intelligence and entity-resolution systems in finance and healthcare. Has delivered end-to-end pipelines (Airflow + AWS) using transformers (DistilBERT/Sentence-BERT), vector search (FAISS/Milvus/Pinecone), and human-in-the-loop labeling to achieve measurable gains (40%+ faster queries; up to 88% F1 and 93% precision/90% recall in entity linking).”

Janvitha Mandyam

Screened

Mid-level AI/ML Engineer specializing in Generative AI and NLP

Chicago, IL4y exp

“GenAI/LLMOps practitioner who deployed a production RAG-based customer service and knowledge retrieval system for a global bank using LangChain, FAISS/Azure Cognitive Search, GPT-4/Claude, and Guardrails—driving a reported 35% Q&A accuracy lift while reducing handle time and escalations. Also partnered with non-technical leaders at CVS Health to deliver ML-driven supply chain risk and inventory insights via anomaly detection, NLG summaries, and stakeholder-friendly dashboards.”

“GenAI/RAG engineer who has deployed a production policy/regulatory search assistant for a financial client using LangChain + Vertex AI, FastAPI, Docker/Kubernetes, and Airflow-orchestrated data pipelines. Demonstrated measurable impact with 50–60% latency reduction and 70% fewer pipeline failures, plus KPI-driven grounding evaluation (90%+ target) and strong cross-functional collaboration with compliance/business teams.”

“Product leader with deep recruiting-tech and HR-tech experience, including leading an end-to-end ATS rebuild and shipping AI-powered candidate matching across tens of millions of profiles. Stands out for turning ambiguous, spreadsheet-level asks into scalable products, improving user efficiency by 40%, and aligning engineering, design, legal, HR, and global stakeholders around clear delivery.”

“Built an end-to-end GenAI underwriting copilot at TD Bank for complex financial documents, combining RoBERTa-based risk classification with Azure OpenAI RAG to deliver grounded, citation-based insights. Drove a 40-50% reduction in manual underwriting review time and created reusable FastAPI ML services that cut integration effort for other teams by 30-40%.”

“Senior project/program leader with 19+ years of experience delivering enterprise B2B and SaaS implementations across highly regulated and operationally complex industries. Brings broad cross-domain expertise spanning CRM, IAM, IoT/fleet, data migration, and platform modernization, with repeated ownership of multi-project portfolios, executive governance, and go-live readiness for high-visibility enterprise releases.”