Vetted Problem Solving Professionals

“Product designer/hardware prototyper building Saccade (VR headset attachment for Apple Vision Pro) to enable earlier, lower-cost Alzheimer's detection via eye-tracking and on-device CV/ML; designed a custom biocompatible snap-on light-shield replacement with integrated cameras/PCB after Apple camera-data restrictions. Also has biomedical manufacturing experience (major fixture-driven throughput gains) and leads a 160-member Assistive Technology Club sponsored by Apple and Google.”

“Transformation-focused operator with experience at CVS Health and Wurth, leading usability analysis across dozens of programs during a major operational transformation. Known for data-driven prioritization and executive-ready communication (weekly metric/risk updates, concise progress briefs) to drive cross-functional alignment and measurable operational improvements.”

“Data engineer focused on AWS + Spark/Databricks pipelines, including an end-to-end nightly loan-data ingestion flow (~2.2M records) from Postgres/S3 through Glue and Databricks into a DWH with layered validation and alerting. Also built real-time streaming with Kafka + Spark Structured Streaming and a master’s project streaming Reddit data for sentiment analysis under ambiguous requirements and tight budget constraints.”

Sreeja Venkatakrishnan

Screened

Mid-level Full-Stack Developer specializing in Java/Spring and modern JavaScript frameworks

Virginia, USA4y exp

“Full-stack engineer with hands-on experience building real-time applications (Socket.io chat app) and data-heavy systems in banking/loan management. Comfortable across React and backend services (Spring Boot/Node), with a focus on scalable API design, database performance (indexing/pagination/caching), and deployment via CI/CD and cloud infrastructure.”

Richie Henderson

Screened

Director of Athletic Operations and Basketball Coach specializing in school athletics and compliance

19y exp

“Veteran college/high school basketball coach and recruiter with a proven track record signing elite talent (7–8 ESPN Top 100 players) and contributing to top-ranked recruiting classes (including #1 in Conference USA and multiple Big 12 Top 25 classes). Also produces athletic department and recruiting video content, with strong editing skills in Final Cut Pro/CapCut and comfort being on camera for social media.”

Yusuf Abdikadir

Screened

Senior Software Engineer specializing in 3D simulation, digital twins, and robotics

London, United Kingdom6y exp

“UK-based Unity developer who built a 3D simulation/digital-twin platform for an autonomous-vehicle startup, integrating Unity environments with external robotics stacks, web APIs, virtual sensing, and dynamic traffic systems. Interested in moving into VR, though has not shipped VR/Meta Quest titles yet.”

WAYNE WILLIAMS

Screened

Senior Game QA Analyst specializing in functional testing and dev tracking

Foster City, CA22y exp

“Embedded QA analyst at Sledgehammer Games on Call of Duty titles (Modern Warfare 3 and shipped Call of Duty: Vanguard), owning deep testing for campaign maps and Zombies systems. Coordinated cross-studio testing with Treyarch and global QA teams, using JIRA/TestRail dashboards and daily reporting to manage regressions, crashes, and high-risk gameplay features, including platform-specific cert-impacting issues.”

“Candidate participated in Launch Factory's venture studio selection process, which introduced them to a formalized startup methodology, and then went on to found and recently exit their own business. They are highly motivated to keep building companies, with a clear emphasis on creating products that serve a community and validating market need through product-market fit.”

“Frontend-focused software developer with experience building analytics software and web-based process control systems. Has worked with TypeScript, MVC architecture, Redux, and Redux Toolkit, including handling state management challenges in a real-time analytics application.”

“Former Cincinnati Reds coach with hands-on experience in player development, scouting, and international amateur evaluations. He combines lived playing experience, Trackman-based talent analysis, and trusted guidance for athletes and families on major decisions like draft positioning, role changes, and college-versus-pro pathways.”

“Senior data scientist with ~5 years’ experience building production ML/NLP systems in finance (Wells Fargo) and deep learning for sensor analytics in connected vehicles (Medtronic). Has delivered end-to-end platforms combining time-series forecasting with transformer-based NLP, including automated drift monitoring/retraining (MLflow + Airflow) and standardized Docker/CI/CD deployments; achieved a reported 22% precision improvement after domain fine-tuning.”

“Backend-leaning full-stack engineer with logistics domain experience (DHL) who shipped a real-time shipment status update system using Spring Boot + Kafka and a performance-tuned PostgreSQL tracking schema. Also has AWS production operations experience (ECS/Kubernetes, Jenkins CI/CD, Terraform/Ansible) and has handled peak-load incidents end-to-end by tracing Kafka lag to database bottlenecks and resolving via query/index optimization plus scaling.”

“Data engineer with Webster Bank experience owning end-to-end pipelines (APIs + databases) processing millions of records/day, improving data quality (25–30% fewer issues) and reliability (~99.9% successful runs). Built resilient external data ingestion/scraping systems (schema-change validation, idempotent backfills, monitoring/alerts) and shipped a FastAPI service exposing curated datasets with versioning and consistently low latency.”

John Abraham

Screened

Executive Credit Risk Leader specializing in underwriting and lending portfolio management

San Diego, USA21y exp

“Operations leader with deep fintech/lending startup experience (OnDeck Capital, 1st Merchant Funding, ForwardLine, Founders First) building end-to-end underwriting-to-portfolio operations, compliance, and supporting functions like sales/marketing. Known for scaling teams and automating repeatable work—citing growth from ~$3MM to ~$20MM in 2 years—while implementing systems like Salesforce/QuickSight and helping build proprietary funding and portfolio management software. Also provides structured part-time advisory support with clear scope/cadence, including helping set up a global finance company based in Argentina.”

Archana yaramala

Screened

Mid-level AI/ML Engineer specializing in deep learning, MLOps, and LLM applications

NY, USA4y exp

“Built and deployed production LLM assistants for internal Q&A and customer-feedback summarization, emphasizing reliability (RAG, prompt tuning, validation/whitelisting) and privacy safeguards. Improved adoption by adding explainable outputs and a user feedback mechanism, and has hands-on orchestration experience with Aflow and Azure Logic Apps.”

Akam Pachachi

Screened

Executive Sales & Partnerships Leader specializing in Enterprise SaaS, Travel Tech, and Market Expansion

Oshawa, Canada14y exp

“Partnerships and growth leader (Traveronto) specializing in partner-led GTM through enterprise/API integrations and white-label distribution. Uses rigorous analytics (audience overlap, engagement quality, cohort retention/LTV) to source and scale creator/platform partnerships, and runs funnel-driven A/B tests on onboarding and pricing to improve activation, GMV, and recurring revenue while keeping CAC low.”

“Built a production, real-time clinical documentation system at HCA that converts doctor–patient conversations into structured clinical summaries using speech-to-text, LLM summarization, and RAG. Demonstrated measurable gains from medical-domain fine-tuning (clinical concept recall +18%, ROUGE-L 0.62 to 0.74) while meeting HIPAA constraints via PHI anonymization and encryption, and deployed via Docker/FastAPI with CI/CD and monitoring.”

“Analytics professional with hands-on experience in supply chain and logistics transformation, including enterprise data preparation in SQL, Python automation, and Power BI reporting. They highlight ownership of end-to-end digitization work at Blue Dart, where they defined operational metrics, aligned cross-functional stakeholders, and delivered measurable gains in transparency, reporting efficiency, and implementation quality.”

John Chance

Screened

Senior Machine Learning Engineer specializing in conversational AI and healthcare ML

Greenwood, LA9y exp

“ML/AI engineer with hands-on ownership of both classical recommender systems and safety-sensitive LLM agent platforms. They combine production MLOps depth with behavioral health domain experience, including clinical safety validation, explainability, and multi-agent orchestration, and cite measurable impact in both business metrics and latency reduction.”

“Analytics candidate with strong finance/operations reporting experience, focused on billing, margin, and revenue leakage use cases. They have built SQL and Python workflows that turned messy shipment, invoice, PO, and ERP data into trusted reporting layers, replacing manual Excel processes and driving adoption through transparent reconciliation and stakeholder collaboration.”

“Developer in the mortgage domain who owns regulated client-letter and reporting changes across front-end scripting, serverless testing environments, and SQL/reporting workflows. They stand out for improving release operations by introducing SOAP UI testing, which nearly doubled letter-update throughput even while serving as the only developer on these projects, and for quickly resolving production issues within 24 hours.”

“Backend engineer with experience building Spring Boot microservices for financial workflows at Fizzle (thousands of requests/minute) and shipping healthcare data validation automation at CVS Health. Demonstrates strong production reliability/performance skills—deep in database tuning (query plans, indexing, caching, denormalization), observability (Prometheus/Grafana), and resilient multi-step workflow design with retries and human-in-the-loop escalation.”

“Game/content designer with experience at EA and on a mobile title (Ultimate Fishing), owning PvP mode UX/gameplay improvements and building UE5 Blueprint systems (state machine + modular weapon/ability architecture) to support multi-developer teams. Also designed College Football 2025/2026 challenge content grounded in real football culture and research, improved broken data-driven toolsets via spreadsheet formula work, and partnered with economy to rebalance rewards by rapidly shipping additional challenges.”