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Vetted Stakeholder Communication Professionals
Pre-screened and vetted.
Bassam Amrou
Director-level Digital Solutions & IT Transformation Leader specializing in enterprise innovation
“Entrepreneurial operator with experience creating business plans and securing venture capital to accelerate a go-to-market strategy. Demonstrates a structured approach to new ventures: framing opportunities, validating/de-risking via market/competitive/external analysis and financial modeling, then building governance, sponsorship, and an execution plan with the right team.”
Nirmal Attarde
Mid-Level Software Development Engineer specializing in backend microservices and cloud
“Software engineer with Oracle experience deploying a BioCatch fraud-detection integration into HDFC Bank’s core banking platform, using phased rollout and real-time monitoring and reporting ~80% fraud reduction. Also built a modular speech-to-text product (VocalSense AI) achieving ~95% accuracy and has strong production incident response skills (15-minute recovery) plus AWS serverless API hardening for messy inputs.”
Yuan Xu
Junior Machine Learning Engineer specializing in multimodal AI and audio deepfakes detection
“Internship experience building production-oriented AI systems, including a real-time voice scam/spoof detector (RawNet + AASIST) hardened for noisy audio via aggressive augmentation and Zoom-based noise simulation, evaluated with EER on clean and wild datasets. Also built an LLM-driven UI automation agent using Playwright for apps like Linear/Notion with modular tool design, unit tests, and replayable scripted scenarios, and has AWS Step Functions experience orchestrating Lambda/Cognito workflows.”
Samantha Rudorfer Kadish
Director of Partnerships specializing in North American partner strategy and client success
“Partnerships leader (Director of Partnerships at Frontify; previously supported Founder/CEO/President at Modicum) known for driving cross-functional alignment and executive productivity. Built U.S. market presence and expanded agency partnerships while implementing practical operating rhythms (trackers, leadership syncs, streamlined reporting) to keep senior teams aligned and moving quickly.”
Nikhil Saukhla
Director-level Operations & Chief of Staff specializing in HealthTech and venture-backed startups
“Operations leader/advisor with experience joining a Cedar Sinai Accelerator spinout (RAIOS) at an inflection point and rebuilding the company’s internal ops “connective tissue” across HR, finance, IT, product, and sales. Uses structured frameworks (RACI, OKRs/KPIs), rapid diagnostics, and tool centralization (Gusto, BILL, Brex) to create scalable, founder-friendly operating systems.”
Shabnam Kakar
Senior Content Marketing Leader specializing in B2B SaaS GTM and SEO
“Partnerships and growth marketer from Dialpad who builds high-intent acquisition channels through review/comparison and integration partners. Uses SEO-driven sourcing, performance-based deal structures, and rigorous experimentation (A/B tests, segmentation, CVR/CPA tracking) to drive higher-quality trials than paid search while protecting editorial trust.”
Ezekiel Homer-Williams
Senior QA/Test Engineer specializing in game quality assurance
“Game QA professional with ~10 years in the SDLC and deep live-service experience, including owning QA for Destiny 2's Guardian Ranks progression system across multiple seasonal iterations. Experienced coordinating outsourced QA, building risk-based test coverage plans, and driving bug triage/verification loops end-to-end to protect player experience and sentiment.”
Lakshmi Jampana
Senior Full-Stack Engineer specializing in FinTech and cloud platforms
“State Street engineer who identifies operational pain points and turns them into high-impact internal platforms, including a service-health monitoring system and a Databricks log standardization pipeline used by 200+ users. Also experiments with practical LLM workflows, having built a Claude-based AI host that dramatically reduced facilitation time for a growing book club.”
Shuishi Fang
Senior UX Engineer specializing in AI-native workflows and design-to-dev automation
“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.”
“Built and productionized an LLM-powered PDF document Q&A system to eliminate manual searching through long documents, focusing on scalability and answer reliability. Implemented semantic chunking (using headings/paragraphs/tables), overlap, and preprocessing/quality checks to reduce hallucinations, and orchestrated the end-to-end pipeline with Airflow using retries, alerts, and parallel tasks.”
John Greenough
Junior Software Engineer specializing in AI, security, and cloud systems
“Built and deployed an LLM + RAG + memory system on a Furhat social robot, adding continuous face/voice recognition embeddings over WebSockets to enable persistent, natural conversations across sessions. Experienced working around real-world hardware/latency constraints and uses Datadog plus structured debugging/rollback practices for stabilizing customer-facing LLM workflows.”
guna jaswanth maduri
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and Computer Vision
“ML/AI engineer with production experience across retail and healthcare: built a real-time computer-vision shelf monitoring system at Walmart and optimized edge inference latency by ~30% using TensorRT/ONNX and pruning. Also partnered with CVS Health clinical/pharmacy teams to deliver a medication-adherence predictive model, using Streamlit explainability dashboards and achieving an 18% adherence improvement.”
Irfan Shaik
Mid-level AI Software Engineer specializing in risk and fraud detection
“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.”
Shriya Challapuram
Mid-Level Software Engineer specializing in LLM-powered developer tools
“Built and owned "Cortex," an AI agent that helps users understand large GitHub repositories by mapping architecture and relationships between files/folders in minutes. Implemented an agentic, multi-stage prompt decomposition approach and validated it across open-source repos, while also doing legacy service modernization work involving dependency upgrades and refactors.”
Joseph Herbst
Executive Technology Leader specializing in IoT, PoE building automation, and semiconductors
“Engineering/exec leader (CEO experience) who built a lighting controls and building automation platform from scratch, choosing an Ethernet/PoE and Node.js web-centric architecture that anticipated market shifts and later became an industry pattern. Known for rigorous vendor QA (test-to-failure) and for delivering high-profile deployments (e.g., Black Desert Resort, Resorts World Villa 66) while leading globally distributed engineering teams.”
Fumin Sun
Junior Product Analyst specializing in AI-driven FinTech analytics
“Analytics-focused candidate from Street Diligence who has built operational reporting and product/engagement metrics from messy platform, Jira, and manual-log data. Stands out for turning unreliable manual processes into trusted, repeatable SQL/Python workflows that influenced staffing, weekly targets, renewal prep, and a product matching-logic fix.”
Sar Perlman
Director of Engineering specializing in AI/ML products and cloud data platforms
“Hands-on engineering leader who has scaled teams quickly (hired 20 engineers in 4 months) and led major architecture shifts including monolith-to-microservices and serverless, async AI-driven medical data ingestion/search. Also drove a versioned-inventory redesign with auditability and rollback that reduced operational errors by 22%, and demonstrates strong incident response with clear stakeholder communication.”
Giri Nathan
Executive Technology Leader (CTO/CIO) specializing in cloud, AI/ML, and cybersecurity
“CTO who ties technology strategy directly to business outcomes, building multi-year roadmaps with measurable ROI. Led major modernization (cloud, data platform, unified API, microservices + CI/CD) delivering 5x faster releases/deployments, 99.8% uptime, and 40% user growth without headcount increases, while scaling engineering from 15 to 80+ in ~18 months.”
Pavan Kumar Malasani
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI
“GenAI/ML engineer in Citigroup’s finance environment who has deployed production RAG systems for investment banking under strict privacy and model-risk constraints. Built an internal-VPC Llama2 + Pinecone + LangChain solution with NER redaction and citation-based verification to prevent hallucinations, delivering major time savings, and also partnered with global finance executives to ship an AI early-warning indicator for treasury/liquidity risk.”
Khoa Nguyen
Junior Software Engineer specializing in Python, AWS, and data/ETL systems
“Data/ETL-focused engineer with Amazon experience building and deploying AWS-based pipelines that became the primary source of automated customer feedback insights (processing millions of records daily). Demonstrated strong incident troubleshooting across software/host/network layers using CloudWatch, traces, and metrics, plus hands-on stakeholder and on-site operator collaboration to translate reporting needs into star-schema data models and tailored Python ETL logic.”
Sudhan Louis
Director of Enterprise Architecture specializing in digital transformation, AI, and API strategy
“Hands-on architect/technology leader who builds prototypes (including Agentic AI wellness/biomarkers) and then scales teams to execute. Led a ~$400M global e-commerce transformation spanning 95 countries with active-active US/EU multi-region resilience, microservices/MFE (MACH), and strong security patterns (service mesh + API gateway + Ping Identity), plus modern data foundations (customer hub/MDM/Snowflake, data fabric/medallion).”
Shram Kadia
Mid-level Software Engineer specializing in backend systems, cloud-native apps, and AI platforms
“Backend/full-stack engineer who has owned production systems end-to-end, including a Dockerized Node.js/TypeScript probabilistic fault-tree analysis service for nuclear safety research deployed on AWS. Also built and operated a FastAPI-based RAG pipeline over 200+ PDFs using FAISS, focusing on low-latency, idempotent workflows and strong observability; experienced with API design and Playwright E2E automation across React/Angular projects.”
Jamie Cook
Senior Machine Learning Engineer specializing in AI search and recommendation systems
“Built internal production LLM tools for engineering and support, including a customer-health assistant and a RAG-based incident explainer grounded in logs, metrics, and deploy data. Stands out for combining strong GenAI safety/evaluation practices with pragmatic backend engineering, delivering measurable impact like a 40% drop in data-help requests and answers in seconds instead of minutes or hours.”
“Senior Campaign Manager who owns $50K–$250K/4-week high-spend accounts across Meta, Google, TikTok, and Yahoo programmatic display. Led a $120K mixed-media launch for P&G focused on new-to-brand purchases (including an incremental lift study) and uses disciplined testing plus saturation/impression-share diagnostics to reallocate budget—driving a reported 25% conversion lift with stable CPA.”