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Vetted Apache Kafka Professionals

Pre-screened and vetted.

RM

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

4y exp
Development Dimensions InternationalUniversity at Buffalo
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AU

Senior Data Scientist and Machine Learning Researcher specializing in NLP, LLMs, and MLOps

Lubbock, TX9y exp
Texas Tech UniversityTexas Tech University
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JM

Mid-level AI/ML Engineer specializing in Generative AI and RAG assistants

USA4y exp
EPAMSacred Heart University
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SR

Mid-level DevOps Engineer specializing in Azure cloud infrastructure and CI/CD

USA4y exp
TCSSouthern Arkansas University
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NS

Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability

Irving, USA5y exp
HarmonecareIllinois Institute of Technology
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PN

Junior Data Engineer specializing in cloud ETL/ELT and lakehouse platforms

Newark, NJ2y exp
Horizon Blue Cross Blue Shield of NJUniversity of Central Missouri
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AZ

Senior Full-Stack Software Engineer specializing in Python, React, and LLM-powered applications

Woodbridge, Virginia, US7y exp
HealthEdge
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SK

Sai Krishna Sriram

Screened ReferencesStrong rec.

Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems

Temecula, California3y exp
CLD-9University of Colorado Boulder

AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.

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SG

Sahil Gupta

Screened ReferencesStrong rec.

Junior AI Software Engineer specializing in LLM agents, RAG, and healthcare NLP

MA, U.S.A1y exp
AltiusUniversity of Massachusetts Amherst

Backend engineer who built an agentic LLM system for private equity/finance that answers questions over enterprise contracts and documents using a vector-db RAG pipeline. Differentiator is a trust-focused citation framework (with highlighted source text) to reduce hallucinations in high-stakes workflows, plus strong DevOps experience deploying microservices on Kubernetes with Helm/GitOps and building Kafka real-time pipelines.

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RG

Rithiwik Garuda

Screened ReferencesStrong rec.

Mid-level Full-Stack Engineer specializing in cloud-native, event-driven data platforms

5y exp
InfosysUniversity of New Haven

Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.

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PR

Priyanka Ramesh

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React

Boston, MA2y exp
IpserLabNortheastern University

Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).

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SR

Sandeep Reddy

Screened ReferencesStrong rec.

Mid-level SRE/DevOps Engineer specializing in cloud infrastructure automation and Kubernetes

Jacksonville, Florida5y exp
Transcor Data ServicesFlorida International University

Cloud/SRE-style engineer at TDS supporting revenue-critical transportation SaaS platforms on AWS/GCP with Kubernetes. Has hands-on experience leading high-impact production work including DDoS mitigation, zero-downtime MSSQL→PostgreSQL migration using CDC, and building secure GitHub Actions + ArgoCD delivery pipelines and Terraform-based GKE infrastructure.

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MS

Michael St.Claire

Screened ReferencesStrong rec.

Chief Architect specializing in microservices, cloud infrastructure, and enterprise AI agents

Idaho, US22y exp
Five07

Startup-focused engineering leader applying for a CTO role; previously served as founding CTO of a tech startup and held engineering/architecture roles across several others. Evaluates new ventures through market research and market demand, and emphasizes building from the ground up with strong teams (has not personally participated in fundraising).

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LD

Linda DN

Screened ReferencesStrong rec.

Senior Cloud DevOps Engineer specializing in AWS architecture, IaC, and DevSecOps

Lawrenceville, GA11y exp
Madison LogicDelta State University

DevSecOps/AWS infrastructure engineer at Madison Logic who owns a 15-account AWS footprint and treats nearly all AWS resources as code (Terraform/CloudFormation). Led a CI/CD platform migration (Bitbucket → GitLab + GitHub Actions) supporting WordPress and containerized microservices, improving release frequency to weekly/daily, and has hands-on production incident response experience on ECS Fargate using Datadog with fast rollback via immutable ECR tags and task definition revisions.

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PK

Pranathi Kamisetty

Screened ReferencesStrong rec.

Intern AI Engineer specializing in LLMs, NLP, and conversational search

Chicago, Illinois1y exp
G19 STUDIOUniversity of Illinois Chicago

Student building a production trip-planning LLM agent (LangChain + Streamlit) that routes user queries across multiple tools (maps/places/Wikipedia). Implemented zero-shot multi-label intent detection with priority rules to handle multi-intent requests, and collaborates with a startup product manager to shape tone, features, and user experience.

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