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Vetted Predictive Modeling Professionals

Pre-screened and vetted.

Predictive ModelingPythonSQLDockerscikit-learnAWS
MK

Mohammed Khan

Senior Growth Marketing Manager specializing in AI-driven performance marketing

Union City, NJ9y exp
GoogleUniversity of the Cumberlands
A/B TestingAgileAnalyticsAsanaAutomationBigQuery+100
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TM

Thomas Mautone

Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms

Round Rock, TX15y exp
MetaMontclair State University
A/B TestingAgileAnomaly DetectionApache HiveApache KafkaApache Spark+121
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NF

Nicholas Fok

Executive AI Product & Venture Studio Leader specializing in capital-efficient, investor-ready systems

Los Angeles, CA19y exp
OWL AIUniversity of Chicago
E-commerceGo-to-market strategyLangChainMATLABPredictive modelingPrompt engineering+68
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AL

Adam Leathermon

Senior Full-Stack Software Engineer specializing in cloud platforms and AI data systems

Madison, Indiana8y exp
CerebralNational University of Singapore
AgileAmazon EC2Amazon RDSAmazon S3Amazon CloudWatchAngular+96
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AB

Aravind Banuka

Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations

4y exp
MetaSouthern University and A&M College
PythonPyTorchTensorFlowHugging Face TransformersLangChainOpenAI+71
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AS

Amareswara Surapuraju

Mid-level Software Engineer specializing in real-time backend systems and FinTech payments

San Francisco, CA6y exp
StripeWebster University
PythonFastAPIDjangoFlaskSQLAlchemyJava+151
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SA

SURESH ATTULURI

Executive Software Engineering Leader specializing in AI/ML, cloud platforms, and distributed systems

Greater Seattle Area, WA27y exp
Wheels UpIIT Madras
Machine LearningPredictive ModelingDatabricksMicroservicesDistributed SystemsKubernetes+66
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SA

Shiva Arcot

Screened

Director of Security & Data Platform Engineering specializing in AI-driven cloud security

Sunnyvale, CA24y exp
ProofpointSanta Clara University

“Player-coach engineering leader focused on scalable data security scanning and risk detection in hybrid cloud, owning architecture and core implementation of an incremental/parallel DSPM scanning engine. Shipped production improvements including 60% lower scan latency and 30% fewer false positives, with strong emphasis on correctness under concurrency, multi-tenant observability (SLOs/burn-rate alerts), and disciplined rollout practices (feature flags, shadow scans, canaries).”

Anomaly DetectionApache AirflowApache CassandraAWSAWS GlueBusiness Intelligence+126
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DS

Dana Spiegel

Executive CTO and product leader specializing in enterprise AI/ML and digital transformation

Brooklyn, NY28y exp
SCRUMMYMIT
Machine learningNatural language processingData analyticsPredictive modelingProduct managementStrategic planning+66
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SP

Sunithya Penumarthy

Mid-Level Software Engineer specializing in distributed backend systems and cloud microservices

CA, USA5y exp
UberUniversity of Utah
PythonPandasNumPyJavaJavaScriptTypeScript+83
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BC

Brian Craft

Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain

Arlington Hts, IL14y exp
GoogleDePaul University
A/B TestingAgileAWSBusiness IntelligenceCI/CDClassification+102
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MG

Mason Gallo

Principal Machine Learning Scientist specializing in GenAI, LLMs, and RAG

Austin, TX13y exp
Season HealthGeorgia Tech
A/B TestingApache AirflowApache KafkaApache SparkAzure Machine LearningBERT+108
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SP

Saurabh Paul

Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations

Sunnyvale, CA11y exp
WalmartIIEST Shibpur
Machine LearningArtificial IntelligenceBERTGPTDeep LearningLSTM+78
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SL

Samuel Liu

Senior Full-Stack Engineer specializing in AI/ML and cloud microservices

Summit, IL13y exp
OptumUniversity of Illinois Urbana-Champaign
AgileAndroidAPI DesignAWSAWS LambdaCI/CD+79
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MM

Manika Monga

Mid-level Solutions Engineer specializing in ads platforms and ML-driven marketing systems

San Jose, CA6y exp
ByteDanceUniversity of Florida
AgileApache HiveApache KafkaApache SparkC++Data Modeling+64
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KT

Kenil Tanna

Screened

Staff-level Machine Learning Engineer specializing in LLMs and MLOps for Financial Services

New York, NY7y exp
JPMorgan ChaseIIT Guwahati

“Machine learning/NLP practitioner at J.P. Morgan who led development of a production RAG system and an entity resolution pipeline for complex financial data. Deep hands-on experience with embeddings (Sentence-BERT), vector search (FAISS/pgvector), LLM fine-tuning (LoRA/PEFT), and rigorous evaluation (human-in-the-loop + A/B testing) backed by strong MLOps on AWS (Docker/Kubernetes, MLflow, Prometheus/Datadog).”

PythonRSQLJavaScriptREST APIsgRPC+124
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SS

Sai supriya

Screened

Mid-level AI/ML Engineer specializing in LLM alignment, safety, and scalable inference

St. Louis, MO7y exp
AnthropicSaint Louis University

“Built and productionized an AWS-hosted, Kubernetes-orchestrated RAG assistant that enables natural-language Q&A over internal document repositories with grounded answers and citations. Demonstrates strong applied LLM engineering: hallucination mitigation, hybrid retrieval + re-ranking, and rigorous evaluation via benchmarks and A/B testing, plus real-world scaling of compute-heavy inference with dynamic batching and monitoring.”

Apache SparkAWSCI/CDData IngestionData PipelinesData Preprocessing+127
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DS

Dilpreet Singh

Screened

Executive CTO and Founder specializing in AI platforms and hyper-scale SaaS

South San Francisco, CA26y exp
Deep OriginUC Berkeley

“CTO-minded builder seeking to join a startup; previously created an AI-driven platform that abstracted away DevOps and infrastructure for drug discovery researchers. Emphasizes high-leverage, zero-to-one execution with managed cloud/open-source tooling, and a strong reliability/reproducibility mindset validated against existing scientific pipelines.”

Large Language Models (LLMs)LangChainRetrieval-Augmented Generation (RAG)Machine learningPredictive modelingAWS+128
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JG

Jim Glassman

Screened

Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms

Houston, TX16y exp
IBMOhio State University

“Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.”

AgileApache KafkaAWSAWS LambdaCI/CDCloud-Native Architecture+101
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AD

Amrit Depaulo

Screened

Executive CTO specializing in AI/ML platforms and enterprise SaaS engineering leadership

San Francisco, CA30y exp
Delos Insurance Solutions

“CTO-level leader with deep insurtech and cloud security/SaaS experience who has repeatedly scaled global engineering orgs and delivered high-velocity roadmaps. Most recently led Delos Insurance Solutions to launch new homeowners programs for wildfire-prone regions every 3–4 weeks while meeting DOI/SLA requirements, driving $135M GWP and $250M capacity and reaching cash-flow positive. Also led major scalability re-architecture at CloudPassage (Postgres to Cassandra + Kafka) and built a large Estonia-based engineering hub at Cybercube.”

AgileAutomated TestingAWSCI/CDCloud-Native ArchitectureCross-Functional Collaboration+147
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SS

Sai Sravanth Segu

Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs

Plano, TX5y exp
MetaUniversity of Texas at Arlington
A/B TestingAmazon EC2Amazon RDSAmazon S3Apache AirflowApache Hadoop+94
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