Vetted Predictive Modeling Professionals

Christopher Bun

Screened

Executive AI/ML technology leader specializing in healthcare, biotech, and legal AI

Irvine, CA17y exp

“Repeat founder and startup advisor with experience spanning academic, health tech, legal tech, sports, and gaming. Has participated in fundraising and due diligence and has built companies, engineering teams, and software platforms from scratch, with a strong product-design-first approach to product-market fit and market selection.”

Shailaja Domala

Screened

Executive product and AI leader specializing in data platforms and analytics

California, USA24y exp

“Engineering leader with deep experience at Visa building and modernizing large-scale analytics platforms, including refactoring legacy systems into globally available microservices on AWS. Combines hands-on technical judgment in architecture, search platform evaluation, and service reliability with management of distributed international engineering and data teams.”

“Machine learning/NLP practitioner at J.P. Morgan who led development of a production RAG system and an entity resolution pipeline for complex financial data. Deep hands-on experience with embeddings (Sentence-BERT), vector search (FAISS/pgvector), LLM fine-tuning (LoRA/PEFT), and rigorous evaluation (human-in-the-loop + A/B testing) backed by strong MLOps on AWS (Docker/Kubernetes, MLflow, Prometheus/Datadog).”

“Built and productionized an AWS-hosted, Kubernetes-orchestrated RAG assistant that enables natural-language Q&A over internal document repositories with grounded answers and citations. Demonstrates strong applied LLM engineering: hallucination mitigation, hybrid retrieval + re-ranking, and rigorous evaluation via benchmarks and A/B testing, plus real-world scaling of compute-heavy inference with dynamic batching and monitoring.”

Sahil Sinha

Screened

Mid-Level Software Engineer specializing in full-stack development, cloud, and data infrastructure

Reston, VA3y exp

“Software engineer at Fannie Mae (~3 years) working on high-volume loan data pipelines using AWS (SQS/S3), Java listeners, Postgres, and Python/SQL-based data quality validation. Also built a chess data collection system (leveraging experience as an International Master) with robust retry/monitoring, schema-change handling, and idempotent backfills to prevent bad data from reaching downstream systems.”

“CTO-minded builder seeking to join a startup; previously created an AI-driven platform that abstracted away DevOps and infrastructure for drug discovery researchers. Emphasizes high-leverage, zero-to-one execution with managed cloud/open-source tooling, and a strong reliability/reproducibility mindset validated against existing scientific pipelines.”

“Product leader with notable experience launching Uber's first support chatbot, scaling it through localization, richer self-serve UX, and platform investments while driving measurable gains in CSAT and automation. Also brings regulated-industry experience from Eaze, where they led a seed-to-sale compliance integration, plus people management experience mentoring PM interns into full-time roles.”

“Entrepreneurial candidate building an AI startup focused on helping companies find product-market fit. They are already at MVP stage with 3 beta customers and are using A/B testing for validation, showing early traction and a hands-on approach to customer-driven product development.”

Jim Glassman

Screened

Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms

Houston, TX16y exp

“Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.”

“CTO-level leader with deep insurtech and cloud security/SaaS experience who has repeatedly scaled global engineering orgs and delivered high-velocity roadmaps. Most recently led Delos Insurance Solutions to launch new homeowners programs for wildfire-prone regions every 3–4 weeks while meeting DOI/SLA requirements, driving $135M GWP and $250M capacity and reaching cash-flow positive. Also led major scalability re-architecture at CloudPassage (Postgres to Cassandra + Kafka) and built a large Estonia-based engineering hub at Cybercube.”

“Deloitte consultant who led cross-functional teams delivering a Snowflake/AWS data ingestion, warehousing, and analytics platform, with a strong track record of executive alignment and risk mitigation. Built reusable business-development accelerators (including an end-to-end Appian app and a Java integration-config tool) credited with helping secure $75M+ in contracts, and has high-confidentiality experience consulting for DoD and FDA.”

Vigynesh Bhatt

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend, cloud, and ML systems

Salt Lake City, UT4y exp

“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”

“Product manager with 5+ years spanning JPMorgan Chase and Airbnb, combining fintech, marketplace, and platform experience. Stands out for driving measurable growth— including 50,000 new active users via onboarding experimentation— and for leading ambiguous 0-to-1 internal automation work in a regulated compliance environment.”