Vetted Django Professionals

Pre-screened and vetted.

PG

Staff Software Architect specializing in AI-first web and mobile platforms

Centennial, CO19y exp
Current ProjectsColorado State University
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KH

Mid-level Full-Stack Engineer specializing in frontend architecture and AI platforms

Seoul, South Korea6y exp
IronPigUniversity of Texas at Austin
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VT

Senior Full-Stack Engineer specializing in video streaming and CMS platforms

Remote, MA22y exp
EdgioORT Braude College of Engineering
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NH

Senior Backend Engineer specializing in scalable cloud and compliance systems

Wichita Falls, TX10y exp
LeidosMidwestern State University
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JZ

Mid-level Software Engineer specializing in FinTech and crypto systems

St. Louis, MO5y exp
Sylvanus TechnologiesLaunch School
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JM

Senior Software Engineer specializing in distributed systems and full-stack development

Hayden, ID24y exp
AmdocsFullerton College
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NR

Mid-level Full-Stack Software Developer specializing in AI and cloud applications

Philadelphia, PA4y exp
VertigeNortheastern University
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SC

Principal Full-Stack Engineer specializing in Healthcare IT and FinTech

Remote12y exp
Kipu HealthGoldey-Beacom College
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AD

Mid-Level Full-Stack Software Engineer specializing in cloud and kiosk applications

Chicago, IL6y exp
The Aspen Group
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SM

Sai Manikanta Kasireddy

Screened ReferencesStrong rec.

Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems

5y exp
Revstar ConsultingUniversity of North Texas

Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.

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PK

Praniket Ketan Walavalkar

Screened ReferencesStrong rec.

Junior AI Software Engineer specializing in RAG agents and cloud data platforms

Seattle, WA1y exp
University of WashingtonUniversity of Washington

AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.

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GJ

Glen Jarvis

Screened ReferencesStrong rec.

Staff Site Reliability Engineer specializing in cloud infrastructure and automation

Remote, NY17y exp
OS LabsMissouri University of Science and Technology

Infrastructure/automation engineer with experience bridging post-acquisition environments (Pandora + SiriusXM) by building an API-driven integration to provision Debian workloads on RHV while preserving iPXE-based imaging workflows. Strong in deep debugging across virtualization/network/OS layers (e.g., resolving virtio/vCPU contention causing network/NFS issues) and in extending automation tooling via custom Ansible/Python modules. Also has exposure to biomanufacturing on-prem devices (Hamiltons, shakers) alongside AWS microservices.

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NR

Nakul Reddy Sarasani

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in cloud-native distributed systems

Dallas, USA3y exp
JPMorgan ChaseUniversity of North Texas

Software engineer with JPMorgan Chase experience building a real-time operations console backend on Spring Boot/Kafka/Kubernetes and resolving peak-load latency through profiling, indexing, caching, and async processing. Also built and owned an AI-driven digital-archives metadata pipeline during a master’s at UNT using OCR + LLaMA-based prompting with validation, near-human accuracy, and human-in-the-loop guardrails.

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Timothy Flechtner - Executive Technology & Product Leader specializing in games, platforms, and real-time systems

Timothy Flechtner

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in games, platforms, and real-time systems

23y exp
Night Street GamesUniversity of Wisconsin–Madison

Engineering leader with gaming and fintech/trading-firm experience who built a sponsor-funded gaming rewards platform (AmEx-style) requiring integrations across Steam/Epic/Xbox/PlayStation and Discord. Emphasizes production-grade, 12-factor delivery with Terraform/Docker/CI/CD and automated testing, plus pragmatic org scaling and remote-team culture built on aligned autonomy and trust.

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KI

Khuram Ismaeel

Screened ReferencesModerate rec.

Senior AI/ML Engineer specializing in machine learning and cloud-native AI systems

10y exp
SoftServeAir University

ML/AI engineer with hands-on ownership of production recommendation and GenAI systems, spanning experimentation, deployment, monitoring, and iteration. Stands out for delivering measurable outcomes—22% CTR lift, 15% conversion lift, and a 30% reduction in support tickets—while demonstrating strong judgment on latency, cost, and safety tradeoffs in real-world systems.

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SI

Suraj Iyer

Screened ReferencesModerate rec.

Junior Software Engineer specializing in AI and cloud-native full-stack systems

Mumbai, India3y exp
MerkleIndiana University Bloomington

Software engineer with 2 years of professional full-stack experience plus a CS master's journey in the US, who has since focused heavily on building hackathon-winning AI systems. Stands out for combining production-minded backend architecture, TypeScript-heavy reliability work, and multi-agent LLM applications spanning physical security and insurance claims automation.

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SA

Mid-Level Python Full-Stack Engineer specializing in Financial Services

SF Bay Area, CA4y exp
Northern TrustGeorge Mason University

Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.

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RG

Rishabhh Garg

Screened

Software Engineer specializing in full-stack development and AI/ML automation

Needham, MA4y exp
First Help FinancialNortheastern University

Backend Python engineer focused on production-grade automation and reliability, with hands-on experience designing scalable API systems on PostgreSQL and making pragmatic architecture calls (modular monolith over premature microservices). Demonstrated measurable performance wins (50–60% latency reduction) and strong operational rigor via observability, incremental rollouts/feature flags, and security patterns like JWT + RBAC + database row-level security.

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