Vetted Distributed Systems Professionals

Pre-screened and vetted.

AB

Junior Backend/Full-Stack Software Engineer specializing in distributed systems

Mumbai, India1y exp
Suraj Informatics Pvt. Ltd.Indiana University Bloomington
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PS

Junior Backend/Systems Engineer specializing in distributed systems and security

Stony Brook, NY3y exp
Stony Brook UniversityStony Brook University
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PP

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs

Guyton, GA5y exp
DXC TechnologyIllinois Institute of Technology
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HK

Mid-Level Software Developer specializing in backend systems and data engineering

USA4y exp
Cohere HealthUniversity of Illinois Springfield
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DO

Junior Full-Stack Software Engineer specializing in React, Node.js, and cloud-native microservices

Chicago, IL2y exp
EdgioIllinois Institute of Technology
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BP

Director-level engineering leader specializing in platform modernization and cloud architecture

Dallas, TX13y exp
InspirenHyde Clarendon College
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NY

Junior Full-Stack Engineer specializing in AI-powered web applications

Jacksonville, FL2y exp
Cork MediaUniversity of North Florida
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EH

Senior Systems Integration Engineer specializing in industrial automation and power systems

Orlando, FL13y exp
SimformTexas State University
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SS

Mid-level Machine Learning Engineer specializing in distributed AI systems

Sunnyvale, CA4y exp
Community Dreams FoundationUniversity at Buffalo
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TW

Principal Software Engineer & Product Leader specializing in distributed systems and agentic platforms

Campbell, CA21y exp
Reactive Compute
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DL

Principal Infrastructure Engineer specializing in distributed systems, cryptography, and hardware security

Pittsburgh, PA18y exp
Unnamed Hardware Security Project
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NK

Naveen Kancharla

Screened ReferencesStrong rec.

Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs

Virginia, USA4y exp
WooingSt. Francis College

Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.

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SH

Saivedant Hava

Screened ReferencesStrong rec.

Entry AI Engineer specializing in LLMs, RAG, and MLOps

Dayton, OH1y exp
AIA Enterprises LLCUniversity of Dayton

Built and shipped a production Python-based agentic RAG document retrieval system over 80K records using FastAPI, OCR, vector search, and AWS infrastructure, with a strong emphasis on reliability, testing, and observability. Stands out for treating AI failures like production incidents—turning hallucinations, retrieval misses, and OCR issues into regression tests—and for quantifiably reducing document lookup time from about 12 minutes to under 90 seconds.

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VJ

Mid-level Software Engineer specializing in distributed real-time systems

New York, USA4y exp
SutherlandUniversity of Central Missouri

Backend engineer focused on real-time, event-driven distributed systems (Node.js/TypeScript) with strict latency and reliability requirements. Deep hands-on experience debugging concurrency issues and designing resilient workflows (idempotency, circuit breakers, compensating actions) with strong observability; familiar with ROS/ROS2 concepts and confident ramping into robotics integrations.

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SM

Mid-level Machine Learning Engineer specializing in multimodal and time-series AI systems

6y exp
WatlowMissouri University of Science and Technology

Backend engineer who rebuilt and refactored high-traffic systems at Phenom using Java/Spring Boot/Play and also designs Python/FastAPI services. Focused on measurable reliability and performance gains through DB/query optimization, async processing, and strong observability, with disciplined rollout practices (feature flags, parallel runs, rollback) and security patterns including token auth and row-level security.

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YP

Yash Pokharna

Screened

Intern Software Engineer specializing in backend systems, cloud, and AI agents

Santa Clara, CA1y exp
Miller Center for Global ImpactSanta Clara University

Built and productionized an LLM-based appointment management agent, implementing RAG with Redis and LangGraph plus multi-agent intent handling and rule-based conflict guardrails to prevent double-booking under high load. Experienced in real-time diagnosis of agentic workflow failures using logs/traces and state inspection, and in driving adoption via interactive developer demos and sales-aligned custom customer scenarios.

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SK

Sandeep Katna

Screened

Mid-Level Software Engineer specializing in distributed systems and AI agent workflows

5y exp
San José State UniversitySan José State University

Software engineer with enterprise CPQ/CRM/ERP integration experience (Argano) who owned an end-to-end pricing preview capability deployed on AWS Kubernetes with Jenkins CI/CD and full observability (Prometheus/Grafana). Also built an AI-native research agent using LangChain + Chroma to filter academic papers, reporting ~15 hours/week saved for a professor.

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Sneha Sridhar - Mid-level Software Engineer specializing in cloud-native backend and distributed systems in Remote, USA

Sneha Sridhar

Screened

Mid-level Software Engineer specializing in cloud-native backend and distributed systems

Remote, USA4y exp
IntradiemUniversity of Massachusetts Dartmouth

Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.

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Jaxon Repp - Executive Technology Leader specializing in distributed systems and multi-cloud infrastructure in Denver, Colorado, United States

Jaxon Repp

Screened

Executive Technology Leader specializing in distributed systems and multi-cloud infrastructure

Denver, Colorado, United States9y exp
YETIColorado State University

Early-stage builder who blends deep technical product work with go-to-market execution: created developer-focused platform tooling (Rust/Node/React) and at Harper moved from customer success into sales/partnerships, leading an Akamai partnership that ultimately helped close Walmart. Currently building a distributed application platform in Rust and iterating on macro-based abstractions to make Rust feel as approachable as Node.js; has not yet closed a seed round and is seeking a trusted operator counterpart.

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Monish Reddy Bonthu - Mid-Level Full-Stack Engineer specializing in real-time systems and FinTech in FL, USA

Mid-Level Full-Stack Engineer specializing in real-time systems and FinTech

FL, USA5y exp
Havicma LogisticsSaint Louis University

Backend engineer with hands-on experience modernizing a real-time logistics/tracking platform from a tightly coupled polling architecture to a service-oriented/microservices design using Node.js and WebSockets. Emphasizes contract-first FastAPI development, defense-in-depth security (JWT/OAuth, RLS/Supabase), and safe incremental migrations with feature flags and strong observability, delivering sub-second updates and improved performance under peak load.

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Yuhao Lin - Junior Full-Stack Software Engineer specializing in web platforms and cloud-based systems in Boulder, CO

Yuhao Lin

Screened

Junior Full-Stack Software Engineer specializing in web platforms and cloud-based systems

Boulder, CO1y exp
QBittensorLabUniversity at Buffalo

Full-stack engineer with hands-on document extraction experience: built an end-to-end handwritten OCR pipeline using OpenCV + EasyOCR with spellcheck post-processing and a Tkinter-based manual correction workflow. Also brings practical distributed-systems and e-commerce reliability experience (REST orchestration, retries, logging, Stripe idempotency), and is candid about not yet shipping LLM agents to production.

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UL

Mid-level Software Engineer specializing in backend systems and AI-powered platforms

San Francisco, CA4y exp
Stealth AI StartupClark University

Backend engineer who built a production retrieval-augmented narrative analysis platform for 100-page screenplays using a Node/Express orchestrator and a Python/FastAPI AI engine, including a key redesign from disk-based uploads to in-memory streaming to eliminate Windows file-lock failures. Also led a refactor of a municipal vehicle tracking system into a C-based distributed engine handling 4M+ daily packets with 99.99% data integrity and automation that reduced manual ops by 50%.

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