Vetted Artificial Intelligence Professionals

Alex D'Souza

Screened

Junior Machine Learning Researcher specializing in healthcare AI and security

Davis, CA2y exp

“Research-focused AI/ML candidate who built an fMRI-based classifier to predict schizophrenia treatment effectiveness under small-dataset constraints. Demonstrated pragmatic model selection by moving from a complex GNN to graph-summary feature engineering with logistic regression, significantly improving accuracy and AUC; primarily works in Google Colab with script-based workflows.”

Laasya Muktevi

Screened

Intern Machine Learning Engineer specializing in forecasting, NLP, and RAG systems

San Jose, CA5y exp

“Intern who built and deployed a production LLM-powered contract analysis system for finance teams: Azure Document Intelligence for text/table extraction plus Gemini prompting to surface key terms and risks via an async API and simple UI. Emphasizes reliability in production with fallbacks, guardrails against hallucinations, and operational concerns like latency/cost/versioning, delivering summaries in under 30 seconds instead of hours.”

“Hands-on ML practitioner who built and deployed an end-to-end phishing email classifier (CLI + simple web app), achieving 98% accuracy and reducing manual security triage. Emphasizes production reliability through input validation, graceful failure modes, monitoring/logging, and iterative error analysis, with experience hardening pipelines against messy backend/database data using fallbacks and idempotent processing.”

Praveen LAKSHMAN

Screened

Mid-level Software Engineer specializing in backend systems and workflow automation

Birmingham, AL4y exp

“Early-career AI engineer currently pursuing a Master's, with hands-on experience building and improving RAG pipelines using LangChain. They stand out for moving beyond naive retrieval into multi-step retrieval and feedback-loop designs to reduce hallucinations, and are now exploring multi-agent systems with distinct retrieval, coding, and validation roles.”

“Sales leader with experience scaling national enterprise/public-sector sales across healthcare, tech, and government markets. At Jaco Inc, they grew a business unit from roughly $3M to nearly $100M annually while building a repeatable, metrics-driven organization and national channel partner program. Currently operating in a high-performance strategic account environment at Inovalon, with strength in complex multi-stakeholder SaaS deals and recurring revenue growth.”

Ashton Kapoor

Screened

Intern-level business analyst specializing in finance, sales, and healthcare technology

Atlanta, GA2y exp

“Sales-focused candidate with unusually broad outbound experience spanning private equity deal sourcing, merchant funding, and apartment leasing. As a student at Kalico Capital, he led a small outreach team, used PrivCo-based financial screening to target SMB/MM companies, and opened 90+ business relationships while connecting senior decision-makers to PE partners.”

mahmoud abboud

Screened

Executive project management leader specializing in core banking transformation

Houston, TX20y exp

“Senior implementation consultant in fintech focused on banking and credit union clients, with end-to-end ownership of Jack Henry LoanVantage implementations. Stands out for hands-on work across discovery, configuration, data migration, UAT, training, and go-live, including managing compliance-sensitive legacy migrations and complex operational cutovers.”

“Currently serving as VP of Technology since January 2025, this candidate was brought in to build a fintech lending platform from the ground up, including hiring a global team and delivering a unified AI-enabled platform. They combine executive-level ownership with hands-on architecture work, including a customer-facing document agent and Plaid integration, and emphasize pragmatic AI adoption tied to measurable engineering productivity.”

“Product leader with experience reshaping complex onboarding experiences at Progressive Leasing, where they expanded a tablet privacy problem into a broader universal application flow that improved trust, reduced hardware costs, and increased approvals and revenue. They also contributed to an AI conversational analytics product at SeekInsights, combining roadmap thinking, UX research, and cross-functional leadership.”

“Product leader with recent experience at Metavol building analytics and AI capabilities, including a net-new Power Analytics product that drove $2.5M ARR in its first year. Combines BI and healthcare workflow expertise with strong user-centered modernization work, including simplifying complex reporting through LLMs and improving legacy product usability by removing VPN/RDP friction.”

“Early-career/new-grad candidate who built TrendScout AI, an evidence-first market intelligence agent that ingests messy news, extracts entities/events, builds a Neo4j knowledge graph, and answers questions via RAG with citations. Achieved ~95% retrieval relevance by combining ChromaDB semantic search with graph-based retrieval and validating outputs through human evaluation and guardrails to prevent hallucinations.”

“Full-stack engineer with financial services experience (Lincoln Financial) who owned a customer-facing financial portal end-to-end using TypeScript/React and Node/Express. Has hands-on microservices and RabbitMQ event-driven workflows, addressing scale issues like retries/duplicates with idempotency and traceable logging, and built an internal real-time ops/support dashboard to improve monitoring and incident response.”

“Backend/ML engineer who built an end-to-end greenwashing detection system for corporate ESG reports: Python preprocessing pipeline, logistic regression + fine-tuned DistilBERT models, and a Dockerized FastAPI inference service optimized for latency. Internship experience maintaining GitLab CI/CD for TypeScript services (Jest/Playwright), improving pipeline stability and test determinism; familiar with Kubernetes/GitOps concepts and AWS CLI/SSO.”

“ML/AI engineer with defense and commercial analytics experience: deployed a real-time aerial object detection system at Dynetics (YOLOv5 + TorchServe in Docker on AWS EC2) with drift-triggered retraining and 99.5% uptime, tackling ambiguous targets and weather degradation. Previously at Fractal Analytics, built and explained a churn prediction model for marketing stakeholders using SHAP and delivered it via a Flask API into dashboards, driving a reported 22% attrition reduction.”

“Data engineer with Charter Communications experience modernizing large-scale AWS data lake pipelines: ingesting S3 data, validating against legacy systems, transforming with PySpark/Spark SQL, and serving via Iceberg/Delta tables. Worked at 50M–300M record scale, delivered >99.5% data match, and built monitoring/alerting (CloudWatch/SNS) plus retry orchestration (Step Functions) and data quality gates (Great Expectations).”

Aaron Bahr

Screened

Senior Software Engineer specializing in game engine and systems programming

Madison, WI23y exp

“Unity/C# developer who built highly flexible gameplay systems (a data-driven scrapping/recipe system and an interruptible coroutine-based AI system) for the game Z-Poc, with a strong focus on architecture tradeoffs and performance. Shipped multiple iOS/Android educational games and improved a children’s book app experience by implementing lazy loading/background image loading to reduce initial load time; also built custom JSON-based networking for a turn-based business sim (JATitan).”

“Built and owned VividCraft end-to-end, a production AI platform spanning a TypeScript/Next.js frontend and a Python backend with FastAPI, Celery, Redis, PostgreSQL, and AWS. Stands out for reliability-focused systems thinking: designed idempotent job orchestration across 9 AI providers, shipped with extensive automated test coverage, and reports zero production regressions after launch plus zero credit loss through provider outages.”

Will Long

Screened

Principal Gameplay Programmer specializing in game systems and cross-platform architecture

Remote, US16y exp

“Principal-level game engineer with deep Unity/C# systems experience who rebuilt a core procedural reels framework for long-term extensibility and partner-team adoption. Also stands out for early, hands-on AI/LLM gameplay work in a multiplayer text game, including NPC memory/personality systems, custom model deployment, and cost-scaled inference infrastructure, plus shipped VR RTS experience across Quest/Rift-era and mobile VR platforms.”

“Full-stack JavaScript engineer (React/Node/Vue) who has operated like a maintainer by owning an internal component library with Storybook-style examples, documentation, and non-breaking versioning. Demonstrated strong performance engineering on a source code review service—profiling bottlenecks, fixing N+1 queries, adding caching, and trimming payloads to cut latency (e.g., ~100ms to <50ms) while rolling out incremental, test-backed improvements.”

Sofian Ali

Screened

Senior Product Marketer specializing in B2B SaaS growth

Remote5y exp

“Founding/principal product marketer who specializes in building zero-to-one B2B growth systems in ambiguous environments. At Real Work Labs, they diagnosed why an AI voice product had no traction, repositioned it for trust-sensitive home service contractors, and drove measurable pipeline results while also building the underlying attribution and handoff infrastructure across HubSpot, Salesforce, Slack, and Gong.”

Meet Vyas

Screened

Mid-level Software Engineer specializing in full-stack systems and AI applications

Tempe, AZ3y exp

“Software engineer with 3 years at Gap Inc. who led a major modernization from monolith/legacy frontend to a React and Spring Boot microservices architecture, delivering 25% cost savings, 30% faster releases, and 50% performance gains. Also built a 0→1 startup product, MealShare AI, using managed cloud services to rapidly launch a real-time food redistribution platform.”

Lokesh Jain

Screened

Senior AI/ML Engineer specializing in supply chain and healthcare systems

Bentonville, AR6y exp

“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”

Alfred Nguyen

Screened

Entry-level Full-Stack Developer specializing in web and mobile apps

Santa Cruz, CA1y exp

“Full-stack developer who has built multiple end-to-end products including a flight search platform, an AI-powered personal finance app, and a React Native workout app. Particularly interesting for teams needing someone who can combine modern React/Next.js frontend work with backend APIs, AI integrations, and pragmatic performance optimization in production-style projects.”