Vetted Collaboration Professionals

“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.”

“Growth/demand gen marketer with strong partnership negotiation experience (notably renegotiating a G2 deal into a 3-year agreement) and a track record of measurable pipeline and ARR impact. Leverages buyer-intent data (G2/Gartner), competitor intelligence, ABM/LinkedIn, and product-led in-app triggers to drive lead growth, conversion improvements, and enterprise upgrades.”

“Full-cycle sales professional focused on IT hardware/infrastructure, prospecting into SMB through enterprise and engaging C-level stakeholders. Reports consistent outbound output (5–10 meetings/week, ~75% conversion) and experience growing large accounts, including expanding a public-company data center initiative into a $2.1M account.”

“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.”

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.”

Briana Lonappan

Screened

Entry-level product and project management candidate specializing in operations and user insights

Remote2y exp

“Early-career candidate with a blend of product research and project coordination experience from a BeReal Product Innovation Externship and Aspire Skill Development internship. They bring strong analytical and organizational skills, including user interviews, competitive benchmarking, prototyping, and stakeholder tracking, with a demonstrated contribution to reducing missed deadlines by 20%.”

“Video editor/motion graphics creator with ~20 years of Premiere Pro + After Effects experience, focused on emotion-driven storytelling and retention in longform YouTube content. Has edited for Newsflare (4M subscribers) and built their own channel, Paisetta Media, to ~100K subscribers; also mentors other editors with a quality-first, example-based feedback style.”

Bria Marks

Screened

Entry-Level Game Designer & Gameplay Programmer specializing in Unity and Unreal Engine 5

Los Angeles, CA1y exp

“Game designer with hands-on experience shipping and tuning a branching memory-deletion narrative system in Unity (Echoes of Memory), focused on creating emotional tension through meaningful player choice. Also builds and iterates cooperative level layouts in Unreal Engine 5 with ~1-week idea-to-playtest cycles, collaborating closely with teammates on Blueprint implementation.”

“Backend engineer who optimized an AI-driven portfolio analytics/insights platform at Fidelity, addressing latency and traffic growth by moving services toward microservices, improving service communication, and tuning API/DB performance. Experienced scaling Python/FastAPI services with Docker + Kubernetes autoscaling, and strengthening security/privacy for sensitive client portfolio data used in LLM-based reporting.”

“Early-career engineer from BNP Paribas who drove a large-scale observability modernization—selecting and implementing Prometheus/Grafana for a 2000+ server estate, then productionizing it on Kubernetes via Docker/Jenkins. Known for hands-on demos, strong documentation/templates, and pragmatic troubleshooting (including custom Python metrics) that improved visibility and cut debugging time by ~60%.”

“GenAI/LLM engineer who recently built a production compliance assistant at State Farm for KYC/AML and regulatory teams, using AWS Bedrock + LangChain with Textract/Lambda pipelines to extract fields, tag risk, and summarize long documents. Implemented RAG, strict structured outputs, and human-in-the-loop guardrails, and reports automating ~80% of documentation work while reducing review time by ~40%.”

“Former mechanical engineering professional who pivoted into business development and drove major international growth through strategic partnerships (helping scale headcount from a few to 300+ in 2–3 years). Now finishing an MBA (graduating in May) and building a recruiting/hiring-manager-focused product—prototype complete, validating demand, and aiming to launch an MVP within ~2 months before fundraising.”

Rupak Chand

Screened

Junior ML Data Associate specializing in AI training data and LLM prompt evaluation

Connecticut2y exp

“Applied ML/embodied AI practitioner who built an on-device gesture-control system for smart-home lights using Raspberry Pi + camera, focusing on privacy-preserving real-time inference and hardware-constrained optimization (async pipeline + TF Lite INT8). Also made a high-impact architecture decision for an ML content evaluation/QA pipeline processing millions of annotated text samples weekly, reducing batch runtime from ~6 hours to ~40 minutes while lowering compute cost.”

Rajesh Sivakumar

Screened

Senior Software Engineering Manager specializing in cloud-native distributed systems (FinTech & Healthcare)

San Francisco, CA26y exp

“Engineering leader/player-coach who has led 40+ developers across multiple teams on large financial services web applications (Wells Fargo) and previously delivered a banking mobile app MVP in 6 months with a junior team by setting patterns and CI/CD foundations. Strong in production reliability practices (Splunk monitoring, feature flags, throttled rollouts) and has driven measurable quality/velocity wins, including a 60% faster E2E test framework and a rapid 2-day hotfix during a React 16→18 migration.”