Vetted Cross-Functional Collaboration Professionals

Manvee Bansal

Screened

Mid-level Financial Analyst specializing in financial modeling and cost automation

Silicon Valley, CA4y exp

“Startup founder who co-founded Boogy, an LLM-based professional matchmaking product that scaled to 37k+ users in under 7 months by shifting GTM from individual onboarding to accelerator/VC partnerships (driving 5x engagement). After Boogy was acquired, joined Dossy as co-founder, hiring global growth interns and running LinkedIn-led GTM while fundraising.”

Nishantkumar Asodariya

Screened

Mid-level Supply Chain Analyst specializing in global logistics automation and forecasting

USA4y exp

“Built and shipped a production LLM-powered recruiting workflow that ranks resumes against job descriptions, generates evidence-based justifications, and finds "hidden fit" candidates using embeddings + RAG. Demonstrates strong production engineering around hallucination control, latency, and predictable LLM cost management (budget checks, top-K pruning, tenant caps), plus orchestration experience with Airflow/Prefect/Kubernetes and a structured evaluation/monitoring methodology for AI agents.”

Ronie Maydan

Screened

Senior Growth Product & CRO Specialist in SaaS, job platforms, and e-commerce

Amsterdam, Netherlands10y exp

“Growth-focused product/marketing leader with CMO experience in e-commerce marketplaces and SaaS (no gaming/F2P background). Strong in CRO, funnel analytics, and A/B testing design, with a metrics-driven approach to monitoring performance and diagnosing issues via trend analysis.”

Sri Harshitha Yannam

Screened

Junior Software Engineer specializing in AI/ML and cloud platforms

Austin, TX2y exp

“LLM/agent engineer who shipped a production "Memory Assistant" at HydroX AI, building a LangChain/LlamaIndex RAG memory pipeline on ChromaDB/FAISS with robust fallbacks (BERT/BART), prompt-injection mitigation, and 99.9% uptime monitoring. Also built a multi-step customer support agent using Rasa + OpenAI Assistants API with structured tool calling, guardrails, and human-in-the-loop escalation, and has experience hardening agents against messy ERP data via Pydantic validation, idempotency, and transactional outbox patterns.”

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%.”

“ML/AI engineer with hands-on ownership of production GenAI and computer vision systems, spanning experimentation, deployment, monitoring, and iterative optimization. Stands out for shipping an enterprise RAG platform that cut manual review by 50% and a defect detection pipeline that reduced report generation from 15 minutes to under 1 second while maintaining high uptime and strong operational discipline.”

“ML/AI engineer with hands-on ownership of production computer vision, speech, and legal RAG systems. Notably improved a key-duplication CV pipeline enough to unblock commercial launch and remove specialist manual measurement, and also shipped a live Quran recitation detection feature for a product with 1M+ users.”

“CTO-oriented engineering leader who emphasizes building and mentoring teams while aligning technology work to real business needs through close collaboration with product stakeholders. Also has entrepreneurial exposure, including an alcohol-related startup and prior experience securing funding.”

“Senior building products leader with broad regional ownership across sales, operations, and distribution in the Northeast and South Central U.S. Stands out for combining commercial growth with operational rigor—driving $10M+ commodity growth, adding new distribution centers, improving SG&A and inventory performance, and navigating complex dealer/builder channel negotiations to win market share.”

“UX/product designer in a medical laboratory B2B portal context who prototypes beyond Figma—built a GPT-based settings chatbot to address findability and low settings adoption, iterating through 11 tested versions with regression safeguards and structured prompts to mitigate instruction truncation/hallucinations. Also redesigned clinic order management by separating doctor vs assistant experiences and introducing step-based status views for a long, multi-stage lab order lifecycle; former full-stack engineer who improves design-to-dev handoffs via templates and readiness rituals.”

“Leader at PENTAX Medical with hands-on experience managing globally distributed teams (Japan, Singapore, Europe, Canada) and navigating cultural/time-zone challenges through structured written communication. Helped drive a major shift from regional autonomy to a global leadership model by defining roles, splitting functions into global teams, and identifying skill gaps—resulting in improved efficiency and reduced overhead. Currently building out an analytics function spanning IT, Sales, Marketing, and Finance, including Power BI and Salesforce ownership alignment.”

“Talent/Recruiting Operations leader who has managed a 7-person team and owned end-to-end talent planning, succession planning, performance management, and broader HR operations. Known for redesigning intern recruiting/onboarding by partnering deeply with business units, resulting in stronger intern cohorts and higher engagement scores, and for leading ATS changes as the project manager while building Workday recruiting analytics dashboards with HRIS.”

“Senior Membership Manager at Chief who operated in a player/coach leadership role across US/UK teams. Partnered with CRO and RevOps to shift the business from a city-by-city model to a national GTM, scaling membership from 3,400 to 20,000+ and lifting conversion 10% through revamped workflows, enablement, and data-driven KPI dashboards.”

“PhD-trained engineer with ~3.5 years of consulting experience building simulation/ML-driven manufacturing software. Deployed an ML surrogate model as a .NET C# DLL integrated with MES workflows, and resolved a critical pre-production latency issue by redesigning serialization/storage. Also built Python-based integrations across CAD/CAE tools and cloud material databases using an XML data model, with a strong interest in digital twins and real-to-sim/sim-to-real robotics workflows.”

“Talent Ops/TA leader who has managed a 15-person combined recruiting + operations team and owned major HR tech initiatives, including end-to-end CRM implementations (Phenom People, GEM) and ATS/HRIS compensation-field integrations (PeopleSoft to Taleo). Known for measurable process improvements—cut time-to-fill from 100 to 65 days, increased offer acceptance by 20%, and boosted referrals by 30%—and for building analytics dashboards to pinpoint funnel bottlenecks and hiring manager responsiveness.”

“Data/ML practitioner with experience applying NLP and classical ML to large-scale customer data (2B+ records) for segmentation, prediction, and survey-text classification, delivering measurable business impact (~18% engagement efficiency). Has hands-on entity resolution across multi-source datasets and has built embedding-based semantic search using SentenceBERT + a vector database with domain fine-tuning (~20% relevance improvement), plus production workflow experience with Spark/Airflow and cloud tooling (AWS/Azure).”

“Operations and general management leader with experience spanning Citibank (Regional VP), a startup COO/GM role, and industrial operations at Tatco. Has delivered high-impact operational and technology changes including a Paychex payroll migration for 150+ employees and an ERP/subscriber migration of 200,000+ records that improved marketing execution and sales enablement, while also managing executive alignment and sensitive workforce matters.”

“AI/software engineer with experience at Visa building a real-time transaction fraud/risk scoring microservice in the card authorization path (Python, Kafka, Kubernetes on AWS) with strict 120–150ms latency constraints and reason-code outputs for downstream decisioning. Owns ML backend end-to-end (data/feature engineering, model training, deployment) and has demonstrated production reliability work including latency spike mitigation, SLO-based observability, drift monitoring, and safe fallbacks to rule-based decisions.”

“AI/ML engineer who has shipped production AI systems end-to-end, including an automated multi-channel (Gmail/WhatsApp/voice) candidate interviewing workflow and an enterprise RAG knowledge search platform. Demonstrates strong production rigor (monitoring, A/B tests, guardrails, schema validation, shadow testing) with quantified impact: ~60–70% reduction in interview evaluation time and ~20–30% relevance gains in RAG retrieval.”

Allwyn Brown

Screened

Executive Law Enforcement Leader specializing in constitutional policing and public safety

SF Bay Area, California41y exp

“Law enforcement operations leader who modernized a police organization by shifting from a traditional hierarchical model to a matrix structure and driving cross-functional collaboration. Served as project manager for major public-safety technology deployments (ShotSpotter, body-worn cameras with CJIS-compliant cloud storage, LPRs, CAD/RMS upgrades) while expanding community engagement and public transparency through social and video communications.”

Sonia Jairath

Screened

Executive Talent Acquisition leader specializing in high-volume and executive hiring across media and tech

Los Angeles, CA20y exp

“Talent Acquisition leader (former Director of Talent Acquisition at Paramount Global) who has managed recruiter teams (1–7 direct reports) and can jump into high-impact executive searches. Experienced partnering with C-suite/EVP stakeholders and HRBPs on offer approvals and leveling/comp adjustments, and has implemented recruiting process/ATS workflows and team training programs across both startups and large enterprises.”

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.”

Bhavyasree Chinthala

Screened

Mid-level Data Engineer specializing in cloud data pipelines and real-time streaming

USA, USA5y exp

“Data engineer with PNC Bank experience owning high-volume financial transaction pipelines end-to-end (Kafka/REST ingestion through Spark/Glue transformations to Redshift serving) for risk and fraud analytics. Built strong reliability and data quality practices (Great Expectations, reconciliation, Airflow alerting, idempotent retries, incremental/windowed processing), reporting 40% ingestion efficiency gains and ~99.9% data accuracy.”

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.”