Vetted Data Analysis Professionals

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%.”

“LLM/agent engineer who shipped a two-stage AI recruitment screening platform at Foursquare that automated resume ingestion through behavioral assessment, delivering an 85% reduction in screening time across 5,000+ applications with auditability and confidence-gated decisions. Also built a multi-agent benchmarking framework using MCP tool interfaces and a RAGAS + LangSmith evaluation/observability stack, including async re-architecture that cut production latency by 50%.”

Jeff Craven

Screened

Director-level delivery executive specializing in enterprise SaaS, telecom, and platform deployments

Gainesville, GA37y exp

“Enterprise SaaS implementation leader with broad cross-functional ownership spanning project management, sales engineering, customer success, and technical account management. Has delivered complex migrations and multi-release portfolios across 40+ enterprise customers, including utilities, telecom, and municipal environments, with strong experience coordinating high-stakes cutovers, integrations, and executive stakeholder communication.”

“Product leader with deep experience modernizing complex, integration-heavy platforms in legal tech and healthcare. Notable for redirecting a legacy Thomson Reuters product from a cosmetic UI rewrite into an API platform that unlocked new markets, and for launching an AI-assisted 340B rebate product at SunRx with a 90% successful auto-resubmission rate. Combines strong technical depth, regulated-industry domain knowledge, and team-building experience.”

“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.”

“Manager at Prophet with 5 years in management consulting, spanning growth strategy, monetization, market expansion, and go-to-market work for clients including Netflix, AstroTurf, PwC, and Success Academy. Stands out for combining mixed-method research, analytics, and cross-functional execution to drive measurable outcomes, including an 18% improvement in teacher retention and pilot-based rollout strategy work at Netflix.”

“Full-stack/AI-focused builder who shipped a production Career Advisor app using LLMs + RAG + vector DB (React/Node/MongoDB/Claude API) and grew it to 2000+ users, handling real deployment issues and CI/CD on Vercel/Render. Also developing an AI-powered iOS “3D World Explorer” (text-to-3D) and has cloud experience across Azure and AWS (S3/SageMaker/EC2).”

“Robotics software contributor with hands-on experience building a Gazebo/ROS(2) Mars rover simulation integrating LiDAR and image segmentation for autonomous navigation and SLAM (Nav2). Comfortable debugging low-level sim/model integration issues (URDF/XML) and building sensor-data pipelines, and has also shipped a real-world telemetry setup streaming vibration data over UDP with packet-loss mitigation.”

“People/HR strategy leader with experience in global team management and workforce planning across five divisions at Kantar. Uses data-driven org change (production + engagement analysis) and practical engagement levers (stay interviews, internal mobility, shift redesign) to deliver measurable results, including a 10% production efficiency gain in six months, and has led targeted initiatives to recruit/retain women through focus groups and flexible work options.”

“Recruiting leader who builds structured, competency-based hiring systems and can also personally run Senior Director-to-C-Suite searches. Notable for scaling a full hiring season to 175+ teacher hires and for leading a high-stakes CEO succession search, advising a board to define a new leadership vision and landing a CEO who remains successful four years later.”

“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.”

“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.”

“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).”

“Cornell master’s student (CS/Stats) focused on research-heavy ML projects: implemented a sparsity-driven RL approach (DAPD + Soft Actor-Critic) that maintained stable learning even with ~95% of weights removed in OpenAI Gym continuous-control tasks. Also worked on diffusion-based computer vision with conditioning and latency-focused U-Net choices, and scaled unsupervised community detection on a 50k-node/800k-edge Reddit graph via BFS subgraph sampling.”

“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.”

Wei Jiang

Screened

Junior Machine Learning Engineer specializing in MLOps and statistical modeling

Greenwood, SC3y exp

“Integration engineer at ES Foundry who led deployment of ELsentinel, a production EL image-based solar cell quality monitoring system using a Swin Transformer classifier (>0.8 F1 across 15+ classes) plus a live real-time prediction dashboard. Strong in solving messy labeling/data-quality problems with process-team collaboration and shipping ML systems despite limited compute/infrastructure.”

Belal Beydoun

Screened

Intern Full-Stack Software Engineer specializing in AI and data analytics

Detroit, MI2y exp

“Software engineer focused on real-time, low-latency AI pipelines: built an end-to-end mobile-to-backend image classification system using React Native/Expo, Node.js, gRPC, MySQL, and Google Vision AI, optimizing throughput and latency. Also integrated an AI model into a real-time field workflow at DTE via Node.js + Azure Databricks, adding data cleaning/validation and safe fallback logic for reliability in operations.”

Karen Scrivano

Screened

Senior Brand Strategy & Marketing Leader specializing in digital, AI prompting, and customer success

Los Angeles, CA17y exp

“Marketing/CRM-focused campaign lead with enterprise financial-services rebrand experience, spanning new website and copy creation through national social/digital promotion. Uses Google Analytics and ongoing reporting/QBRs to optimize to KPIs, drive ROI, and successfully retain and upsell clients while expanding reach into new demographics.”

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.”

Ekta Rani

Screened

Mid-level Customer Success Manager specializing in enterprise SaaS and digital banking adoption

6y exp

“Customer Success/CSM leader with Freshworks enterprise experience owning complex accounts end-to-end (onboarding, adoption, renewal, and expansion). Demonstrated impact through quantified outcomes (e.g., +20% resolution speed, +15% CSAT, +25% handling-time improvement) and strong cross-functional execution on high-stakes integrations (Freshdesk–Salesforce) plus product influence via PRDs/user stories (Shopify integration improvements).”

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.”

Rifat Khan

Screened

Mid-level Mechanical/Aerospace Engineer specializing in scientific computing, CFD, and ML systems

Santa Fe, New Mexico6y exp

“Robotics/control-focused engineer who built and validated a series elastic actuator control stack end-to-end (dynamic modeling, torque/position control, simulation, and experimental real-time debugging on hardware). Deep simulation background (OpenFOAM/COMSOL/Abaqus) and practical reproducibility tooling (Docker/CI), with conceptual ROS/ROS2 knowledge and confidence ramping into ROS-based stacks.”

Elizabeth Larequi

Screened

Senior Recruiting Operations Product Owner specializing in early careers and recruiting technology

Allen, Texas11y exp

“Recruiting Operations leader in agency owner and licensed sales recruiting who has managed a 9-person sourcing team and driven measurable funnel improvements (35%+ pipeline increase) through workflow redesign. Owns ATS/CRM ecosystems (iCIMS, Yello) and has led major migrations/integrations (SuccessFactors, Oracle) while coordinating across controls, data, engineering, recruiters, vendors, and legal.”