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Vetted Predictive Analytics Professionals

Pre-screened and vetted.

Predictive AnalyticsPythonDockerSQLAWSCI/CD
SM

Sainath Myakala

Mid-level Data Engineer specializing in AI/ML data platforms and real-time streaming

Arkansas, USA6y exp
WalmartUniversity of Central Missouri
PythonJavaScalaShell ScriptingSQLApache Kafka+79
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SC

Supriya Chopra

Executive Product & Technology Leader specializing in AI and healthcare platforms

14y exp
Healthy Vignettes
Product ManagementProgram ManagementData GovernanceGo-to-Market StrategySaaSLarge Language Models (LLMs)+60
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EJ

Eric Jordan

Executive CIO/CISO specializing in enterprise technology, cloud, data governance & cybersecurity

Agawam, MA18y exp
Harold Grinspoon Foundation
Incident responseAWSMicrosoft AzureSaaSSalesforceData governance+61
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RC

Rory Catinella

Screened ReferencesStrong rec.

Director-level Talent Acquisition & Recruiting Leader specializing in scaling high-growth hiring

Southlake, TX15y exp
Indeed FlexTexas Tech University

“Senior staffing/recruiting operations leader with large-scale, high-volume experience across Amazon and Integrity Staffing, known for building rigorous operating cadences, analytics, and documentation that materially improve productivity and rankings. Also led SaaS-enabled workforce solutions operations at Indeed Flex, implementing strategic account planning that cut high-risk churn by 77% while managing multi-market teams.”

Workforce planningPredictive analyticsReportingForecastingData analysisCross-functional collaboration+201
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KA

Keith Aumiller

Screened

Director-level Data & AI Leader specializing in enterprise transformation

Philadelphia, PA22y exp
AmeriGasWashington University in St. Louis

“Built Cigna Health’s risk-based management/monitoring system used as a primary product for pharmaceutical clients, supporting clinical trials and utilized during the COVID-19 pandemic. Currently running a community-based startup (details kept proprietary) and is open to executive roles or joining a strong team with a clear path to success, evaluating opportunities via ROI.”

Data EngineeringCloud-Native ArchitectureAWSMicrosoft AzureETLMLOps+96
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AR

Abhyush Rajak

Screened

Mid-level Backend Software Engineer specializing in FinTech APIs and microservices

California, USA4y exp
VisaCalifornia State University, Long Beach

“Backend/event-driven systems engineer who built an end-to-end “software robot” for AI-driven invoice processing: FastAPI ingestion + OCR integration + classification mapping, with strong emphasis on reliability (idempotency, retries) and scalability (background workers, event-driven architecture). Experienced in production-grade distributed systems tooling (Kafka, Docker/Kubernetes, GitHub Actions, ArgoCD) and real-time debugging via tracing/telemetry, and expects $10k–$12k/month.”

AgileAJAXAnsibleAPI TestingAsynchronous ProcessingAWS+169
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HH

Hachem Hamadeh

Screened

Mid-level Applied AI Engineer specializing in ML systems, MLOps, and industrial analytics

Toronto, Canada5y exp
FreelanceUniversity of Waterloo

“Industrial AI/ML practitioner with experience deploying real-time monitoring and anomaly detection in a regulated Sanofi vaccine manufacturing facility, including root-cause workflows, logging/alerting, and SOP-aligned validation—achieving ~90% faster anomaly detection. Also built Python/NLP-style automation to accelerate instrumentation & control documentation (~40% faster) and delivered end-to-end predictive analytics for an agri-food operations/distribution client using close operator and leadership feedback loops.”

Machine LearningMLOpsGenerative AIPythonSQLTensorFlow+105
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AM

Aigo Madakimova

Screened

Senior Data Analyst specializing in audit analytics, automation, and financial data platforms

Malvern, PA6y exp
VanguardNYU

“Full-stack engineer with strong Next.js App Router + TypeScript experience who built and owned a production internal analytics dashboard end-to-end, including server-component data fetching, route handlers for secure proxying, and post-launch monitoring/caching fixes. Also designed Postgres data models and performance-tuned analytics queries, and built reliable BullMQ/Redis-based order-fulfillment workflows with idempotency, retries, and compensating refunds—comfortable operating with high ownership in early-stage teams.”

PythonJavaCC++SQLEclipse+106
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PK

Prashanth Konda

Staff Machine Learning Engineer specializing in LLM agents and ML systems

San Fransico, CA6y exp
InfosysGeorgia State University
Anomaly detectionApache KafkaApache SparkAWSCI/CDC+++69
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SK

Satya Kudulla

Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices

San Francisco, CA6y exp
ShopifySaint Louis University
AgileAmazon RDSAmazon S3Amazon SageMakerAnsibleApache Airflow+85
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MH

Michael Herbert

Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech systems

Philadelphia, PA14y exp
CognizantCalifornia Lutheran University
JavaPythonJavaScriptTypeScriptKotlinSQL+113
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SK

Sai Karan Reddy

Mid-level Data Scientist specializing in ML, MLOps, and forecasting for FinTech and AI hardware

Lake Forest, CA6y exp
AMDClark University
A/B TestingAnomaly DetectionApache AirflowAWSAWS LambdaBERT+79
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PC

Parth Chaudhary

Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics

Overland Park, Kansas1y exp
Novel CapitalUSC
AlgorithmsAnalyticsAWSBusiness IntelligenceCI/CDClustering+90
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AG

Arunit Gupta

Staff Software Engineer/Manager specializing in Generative AI and enterprise platforms

Santa Clara, CA12y exp
QualcommUniversity of Missouri-Kansas City
JavaPythonDjangoFastAPIMicroservicesServerless Architecture+105
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RC

Richmond Chang

Senior Full-Stack Software Engineer specializing in cloud-native platforms and gaming systems

El Monte, CA11y exp
SeamgenUC Irvine
AngularAWSAWS LambdaBashC#C+++67
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SP

Siddardha Pinnamaraju

Mid-level AI/ML Engineer specializing in NLP, MLOps, and financial risk & fraud analytics

USA4y exp
JPMorgan ChaseFlorida International University
AgileAnomaly DetectionAWSAWS LambdaAzure Data FactoryBERT+120
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SR

SASA RADOSAVLJEVIC

Senior AI/ML Engineer specializing in Generative AI and Computer Vision

Los Angeles, California9y exp
PoplTsinghua University
AlgorithmsAndroidAngularJSAPI DevelopmentAWSAzure App Service+91
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VG

Varalakshmi Garidapuri

Senior AI/ML Engineer specializing in NLP, LLMs, and MLOps

San Jose, CA8y exp
DatabricksAria University
PythonRSQLPySparkBashJava+78
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AP

Akhila Pasam

Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps

5y exp
Northern TrustGrand Valley State University
Generative AILarge Language Models (LLMs)GPT-4ClaudeLLaMATransformers+102
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NK

NEHA KOLAN

Screened

Mid-Level Software Engineer specializing in microservices and cloud data pipelines

Texas, USA4y exp
CignaUniversity of North Texas

“Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.”

A/B TestingAmazon RedshiftAmazon SageMakerAnomaly DetectionApache AirflowApache Kafka+122
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MG

Mounika Gunturu

Screened

Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms

New York, NY9y exp
Oliver WymanNarayanamma Institute of Technology and Science

“Backend/data engineer from Oliver Wyman who built and ran production Python (FastAPI) services on AWS (ECS/Lambda/API Gateway) supporting risk modeling and regulatory reporting. Strong in reliability/observability, Glue-based ETL with data quality controls, and legacy SAS-to-Python modernization with rigorous parity validation; also demonstrated measurable SQL performance wins and cost-control improvements in serverless scaling. Based in Raleigh, NC and can travel onsite for important Bethesda-area meetings.”

AgileAmazon ECSAmazon EC2Amazon EKSAmazon RDSAmazon S3+150
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