Vetted Problem Solving Professionals

“Previously founded and successfully exited a self-funded startup in the marine electronics and vessel monitoring/control space. Brings unusually broad end-to-end technical depth—from transistor-level design and firmware to Internet-connected systems and software—paired with a pragmatic founder mindset around market needs, differentiation, reliability, and product strategy.”

“Backend engineer with hands-on experience scaling a Python/Flask incident-logging platform processing thousands of daily logs. Strong in performance tuning (PostgreSQL/SQLAlchemy query optimization, partitioning, summary tables) and reliability patterns (Redis caching, Celery background workers, Docker + Jenkins CI/CD), with some multi-tenant data isolation experience via separate DBs/schemas.”

“Software engineer/product-focused builder who has delivered customer-facing dashboards (React/TypeScript + Spring Boot) and microservices using RabbitMQ, emphasizing safe, fast iteration with CI/CD, feature flags, and monitoring. Also built an internal monitoring/reporting tool adopted by ops/support by involving users early and iterating based on feedback.”

“Built and owned major parts of a real-time distributed AI fraud-detection pipeline (ingestion, inference microservice integration, and automated action layer), optimizing latency and observability and reducing false positives by ~35%. Understands ROS/ROS2 concepts (nodes/topics/services) and planned hands-on ramp-up via ROS2 pub/sub exercises and Gazebo simulation, but has not worked on physical robots or ROS in production.”

Hannah Avey-Overfelt

Screened

Multimedia Designer specializing in animation, video production, and campaign creative

Cary, NC

“Marketing designer with John Deere and Gear.com experience spanning high-polish campaign creative, web product-page image overhauls at scale, and multi-platform video editing in Premiere Pro. Drove international dealer adoption of campaign assets (notably Canada and France) and measures impact through clicks/downloads, while maintaining fast remote feedback loops across time zones.”

Saisureshreddy Challa

Screened

Mid-level Data Scientist specializing in AI/ML, LLMs, and domain analytics

California, USA6y exp

“BlackRock AI/ML engineer who built and owned a production LLM document intelligence system for regulatory and investment analysis end-to-end. They combined RAG, multi-agent validation, strong evaluation/monitoring, and reusable Python services to process 50K+ documents, cut review time 40-50%, and improve decision accuracy by about 25%.”

“Software engineer with experience building internal tools and admin consoles, including a stealth startup database management console and a Fidelity internship project that transformed QA test coverage tracking from unwieldy Excel sheets into a clearer, more actionable UI. Strongest signals are end-to-end ownership, modular app design, and practical iteration based on user feedback.”

“Candidate takes a disciplined, developer-in-the-loop approach to AI-assisted coding, using AI primarily for brainstorming, suggestions, and optimization while retaining full ownership of architecture and final code decisions. They also actively stay current on AI developments through research papers, communities, and emerging tools.”

“Engineering leader with hands-on AI/ML systems experience spanning production inference infrastructure and consumer-facing LLM products. At Jio, they led a 17-person AI features team and delivered measurable execution gains, including 40% faster deployments and 35% lower prediction latency, while also building an end-to-end RAG-based meal recommendation product using OpenAI and Gemini.”

Daivya Trehaan

Screened

Intern-level strategy and market research analyst specializing in FinTech and consumer insights

Dubai, UAE2y exp

“UCLA cognitive science student with hands-on startup strategy and market research experience, including work at AstroTech Builtin on user segmentation, fintech verticals, and expansion opportunities in remittance-heavy markets like the Philippines. She also builds her own consumer MVP concepts, combining campus-based user research, community-led growth ideas, and AI-assisted prototyping with a strong instinct for messaging and value communication.”

“Execution-oriented operator with experience spanning Credit Suisse digital assets leadership, Citi Wealth GenAI initiatives, and advisory work for founders and executives. Stands out for bridging strategy, governance, and hands-on execution across highly regulated financial services and emerging-growth environments, especially in blockchain and AI.”

Jason VanLue

Screened

Executive product and design leader specializing in AI-native SaaS and EdTech

St. Augustine, FL18y exp

“Design-led product executive who helped build Code School from concept into a category-defining learn-by-doing education platform acquired by Pluralsight, and later scaled EPD to 40+ while driving $60M ARR. Now leading AI-native product development in nonprofit fundraising, with a clear philosophy that AI should amplify human relationships rather than replace them.”

Adam Weinstein

Screened

Director of Corporate Development specializing in pharmaceuticals and life sciences M&A

New York, NY11y exp

“Healthcare-focused finance and strategy professional with two major chapters: roughly six years in healthcare investment banking followed by progression from Senior Manager to Director in Corporate Development / Strategy at Viatris. Brings a strong blend of transaction execution, analytical rigor, and cross-functional leadership, with repeated experience driving acquisitions, partnerships, and other complex initiatives in ambiguous environments.”

“Unity gameplay/AI engineer with driving-simulator experience who re-architected state-based AI using multithreading (including a threaded 2D collision/location checker) to nearly double AI traffic while improving frame rate. Has shipped on a Photon-networked title (Frankie's Revenge / RoboRevengeSquad) and is comfortable debugging tricky multiplayer spawning/movement issues with practical client-server test setups.”

“Backend engineer who built and owned an AI-powered SMS survey platform for a nonprofit serving at-risk communities (internet-limited users), using Cloudflare Workers + Twilio and a state-machine survey engine. Scaled it to ~10k active users with near-zero downtime, added English/Spanish support, and iteratively improved LLM behavior (Claude 3.7 Sonnet) to handle nuanced, real-world SMS responses reliably.”

Samikshya Satpathy

Screened

Mid-level UI/UX & Product Designer specializing in e-commerce and enterprise SaaS

Ann Arbor, MI4y exp

“Product/UX designer with large-scale consumer and omnichannel experience across Nykaa and Swiggy (100M+ users), combining deep research with high-polish UI and scalable design systems. Demonstrated measurable business impact across ops efficiency (1500 hrs/year saved), app quality (4.3→4.8 rating), and e-commerce conversion (48% uplift), and has owned a growth pod while collaborating closely with UA/growth and engineering.”

Kevin Scharf

Screened

Senior Project Management & Compliance Professional in Aerospace & Defense

Englewood, CO8y exp

“Internal audit/GRC professional who partners closely with engineering on access controls, change management, and remediation—often translating "technically compliant" states into realistic threat scenarios and business impact. Has driven measurable reductions in privileged-access exposure through least-privilege resets and recurring reviews, and has hands-on experience troubleshooting real-world deployment/integration issues (including in a manufacturing environment) using logs/metrics and strong escalation documentation.”

Akshit Modi

Screened

Mid-level AI/ML Engineer specializing in healthcare NLP and MLOps

Remote, USA5y exp

“Healthcare/clinical ML practitioner who built and productionized ClinicalBERT-based pipelines to extract and standardize oncology EHR data, improving downstream model F1 from 0.81 to 0.92 while controlling training cost via LoRA/QLoRA. Experienced orchestrating real-time AWS ETL/ML workflows (Glue, Lambda, SageMaker) and partnering with clinicians using SHAP-based interpretability, contributing to an 18% reduction in readmissions and full adoption.”

Atharva Bhide

Screened

Entry Software Engineer specializing in AI/ML and multimodal systems

Los Angeles, CA1y exp

“Built and shipped a production healthcare AI platform for a clinic in Brea, LA that combined LLM-based clinical report generation, voice agents for appointment workflows, and camera-based patient monitoring. Stands out for pairing multimodal AI architecture with production-grade reliability and compliance practices, while delivering concrete business results including 90% workflow automation, 200 hours saved per month, and a 60% improvement in customer retention.”

“Early-career builder with hands-on project experience spanning Python data processing, a Chrome extension for autofilling job applications, and a sign-language glove system integrating sensors, microcontrollers, and a web interface. Stands out for approaching student and project work with a production-minded focus on validation, modularity, edge cases, and reliability.”

“HVAC services sales professional with hands-on outbound prospecting experience, including cold calling and in-person client meetings. Stands out for rebuilding trust in a school district where the company had a poor reputation and ultimately winning a three-school HVAC service deal through persistence and tailored solution selling.”

Francois Odienne

Screened

Director of Engineering specializing in SaaS platforms, AI-first product development, and telecom

Moorpark, CA28y exp

“Technology leader with venture-backed company experience at LogicMonitor, where they aligned engineering strategy with business growth and long-term platform scalability. Demonstrates strong familiarity with the VC/studio/accelerator ecosystem and a thoughtful founder mindset centered on validating real problems, innovative solutions, and execution capacity.”

Amit Dharam

Screened

Junior AI/ML Software Engineer specializing in backend systems and cloud deployment

Tempe, AZ3y exp

“Built multiple end-to-end automation and data systems, including an Accio RAG pipeline combining PDF parsing, FastAPI, Neo4j, and vector search, plus Selenium-based scraping for a virtual try-on product. Stands out for reliability-minded engineering: automated testing, structured logging, validation layers, and a data-driven approach to debugging flaky automation that improved CI pass rates to over 98%.”

Raymon Bledsoe

Screened

Executive sales leader specializing in EdTech, SaaS, and real estate solutions

Dallas, TX10y exp

“Public-sector sales leader in K-12 education currently leading an inside sales team at Edmentum across a large Midwest territory. Brings a disciplined, metrics-driven approach to district acquisition, expansion, forecasting, and manager coaching, with early-year performance at 110% of Q1 goal and clear experience navigating complex multi-stakeholder school district deals.”