Calvin Patrick

A Fintech company that builds tomorrow’s financial technology today to enhance our global community and connect the world through economic participation. • Developed LATAM talent maps and sourcing plans for Quality/Project Manager, Production Support, Implementation Specialist, and Solutions Architect roles; reduced time-to-present by 20 days. • With no visibility into which sourcing channels were driving quality hires, built a channel attribution tracking system using ATS data and custom tagging, enabling data-driven budget reallocation that reduced overall time-to-fill by 20% within the first quarter. • Introduced AI-driven sourcing automation tools (SeekOut AI, hireEZ) to scale passive candidate identification, reducing sourcing cost-per-qualified-candidate by 15% while maintaining quality-of-submittal benchmarks.

• After inheriting AI/ML hiring with no dedicated sourcing channel, pioneered research-focused pipelines on GitHub, arXiv, and Google Scholar for MLE, Platform, MLOps, and Applied ML/Data Research roles, generating a ~40% increase in qualified candidate flow within two quarters. • Designed structured interview scorecards and technical evaluation rubrics for AI/ML, Platform/SRE, iOS, and SDET disciplines; improved candidate-role match accuracy through systematic Python, TensorFlow, and cloud-platform screen calibration. • Facing a passive pipeline with limited PhD representation, forged direct partnerships with AI labs at Stanford, CMU, and MIT to recruit transformer and deep learning specialists, lifting PhD conversion rates by ~30% through targeted engagement at NeurIPS, ICML, and ICLR. • Engineered ML role assessment frameworks covering Scala, Spark, and Kubernetes proficiency; successfully closed critical model-deployment positions that had exceeded 90 days open. • Drove a 30% increase in candidate response rates by executing targeted outreach through Google Scholar, Hugging Face, and Kaggle communities, converting passive researchers into active applicants.

Freedom Financial Network (FINTEC) is a family of companies that takes a people-first approach to financial services. It uses technology to empower consumers to overcome debt and create a brighter financial future. • Streamlined interview coordination by implementing centralized scheduling tools (Calendly, GoodTime) and same-day debrief protocols, reducing scheduling delays by 20% and accelerating time-to-decision by 5 days. • Increased qualified hires by 25% in the first quarter by integrating Karat's skills assessment platform while managing full-cycle recruiting for diverse technical stacks (Frontend, Backend, Full Stack, Data Science) and Software Engineering Manager roles. • Partnered with engineering leadership to define technical requirements and standardize scorecards, increasing candidate quality scores by 20% in a highly competitive market. • Significantly enhanced passive candidate flow in highly competitive labor markets by conducting deep Boolean searches and leveraging social platforms, niche communities, and competitive talent mapping to source hard-to-find technical candidates.

McAfee primarily develops enterprise and consumer online protection services, SaaS, and commercial services to protect users' online identities and privacy on Windows, Mac, and mobile devices. • Inherited a GTM pipeline with declining offer acceptance across IC-to-Director roles; rebuilt EVP messaging and compensation positioning, achieving 90%+ offer acceptance across Sales, Marketing, RevOPS and Customer Success. • Mapped competitor talent across Norton, Malwarebytes, and Bitdefender to build proactive intelligence pipelines for senior GTM leadership that accelerated director-level fills by 35%. • Elevated offer acceptance rates by 20% by reframing candidate narratives around product mission and user impact, shifting closing conversations away from compensation-first positioning. • Built and maintained recruitment reporting dashboards in Power BI tracking funnel health, source-of-hire attribution, and offer-acceptance trends, giving leadership weekly, data-backed visibility into pipeline performance. • Developed role-specific evaluation rubrics and standardized interview scorecards across six product and design disciplines, reducing interviewer feedback variance and compressing hiring decision timelines by an average of one week per role.

An engineering consulting firm that provided engineering services, and technical and skilled trades staffing to the A/E/C , Engineering, Industrial, and Power/Utility markets. • Starting with zero established client relationships in a new territory, cultivated a portfolio of 8–12 active accounts across AEC/MEP, power utility, and wastewater sectors. • Achieved $52K+ in weekly billing with 95%+ client satisfaction and 92% contractor retention. • Developed specialized PE/EIT sourcing pipelines for niche infrastructure engineering talent, delivering qualified shortlists ~20% faster than industry benchmarks. • Converted single-discipline engagements into multi-discipline retained partnerships through QBR-based account strategy and workforce planning insights, generating $500K+ in expansion revenue over three years. • Negotiated pricing and contract terms for high-volume staffing engagements, increasing average placement margin by 15% while securing 98% contract renewal rates.

This online Bootcamp is a compact, accelerated version of the 400-hour in-person master program. It consists of two parts: - In Part 1, I learned the keys to Artificial Intelligence and the new Generative AI, as well as its potential to revolutionize businesses, startups, and employment. - In Part 2, I learned how to build professional-level LLM Applications, the most potential applications of Generative AI. Topics included in this Bootcamp: AI, Generative AI, AI Applications, LLM Applications, Full-Stack Applications, LangChain, LangChain Expression Language (LCEL), LangChain v010, LlamaIndex, OpenAI, OpenAI API, RAG, RAG Technique, vector databases, Postgres, Pinecone, Chroma, DeepLake, Streamlit, Nextjs, Vercel, FastAPI, Render, AWS S3, LangSmith, LangServe, LangChain Templates, LlamaIndex Templates, LLMOps, Responsible AI.

This certificate program dives into financial technology (FinTech) disruptions. You'll learn about the major areas of FinTech, like automated investment advice (robo-advisors) and digital payments, and how they're changing the game. By analyzing a product or service (yours or someone else's) using a strategic framework, you'll identify potential weaknesses and opportunities for disruption. The program also explores blockchain technology, the system behind cryptocurrencies like Bitcoin, and how it facilitates secure online transactions. In short, this program equips you to understand and leverage the latest trends transforming the financial industry.