Vetted Distributed Systems Professionals

Pre-screened and vetted.

LM

Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems

Corvallis, OR3y exp
MicrotecOregon State University
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SZ

Entry-level Software Engineer specializing in systems and healthcare data

Verona, WI1y exp
Epic SystemsUniversity of Illinois Urbana-Champaign
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VP

Mid-level Software Developer specializing in backend, cloud-native systems, and AI automation

Richardson, TX3y exp
Goldman SachsUniversity of Texas at Arlington
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SV

Director-level AI/ML engineering leader specializing in platform and product development

Mountain View, CA10y exp
Motley DataSanta Clara University
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KG

Senior Software Engineer specializing in backend systems and data engineering

Remote, USA10y exp
General Dynamics Information TechnologyUniversity of Texas at Austin
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MP

Senior Software Engineer specializing in backend data platforms for FinTech

Irving, TX9y exp
Cottonwood FinancialUniversity of Texas at Austin
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BG

Senior Full-Stack Engineer specializing in cloud-native AI and SaaS platforms

Perry, GA10y exp
KaiberSt. Cloud State University
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JP

Senior Backend Engineer specializing in FinTech compliance systems

Kyle, TX10y exp
Leader BankTexas Tech University
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AH

Senior Full-Stack Engineer specializing in backend, cloud, and AI systems

New York, NY8y exp
Istream Solution
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VP

Veerash Palanichamy

Screened ReferencesStrong rec.

Mid-level Robotics Software Engineer specializing in ROS2 and medical microrobotics

ON, Canada4y exp
McMaster UniversityMcMaster University

Robotics software engineer with ~7 years of ROS/ROS2 experience spanning Mars rover simulation/navigation, robot arm integration (URDF/MoveIt/ros2_control), and medical magnetic actuation systems using RGB-D feedback. Built a 5-DOF CNC-like magnetic capsule navigation prototype end-to-end and has deep hands-on skill debugging real-time control issues (CAN, encoder timing, controller tuning) plus PLC/Modbus-to-ROS2 integration.

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JS

Johnnie Sanders

Screened ReferencesModerate rec.

Executive AI Architect specializing in enterprise cloud and FinTech solutions

Lewisville, TX15y exp
11-11 Solutions Ent.Purdue University

Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.

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Dhananjay Sharma - Mid-level Full-Stack Engineer specializing in AI and FinTech platforms in Stony Brook, NY

Dhananjay Sharma

Screened ReferencesModerate rec.

Mid-level Full-Stack Engineer specializing in AI and FinTech platforms

Stony Brook, NY6y exp
State University of New York - Research FoundationStony Brook University

Full-stack engineer who built RegArt’s product from 0→1 for enterprise compliance users at clients like HSBC and EY, including the production React frontend, backend APIs, and an LLM-powered search experience. Particularly compelling for startups needing someone who can move across UI, API, and data layers, make pragmatic architecture tradeoffs, and ship fast without over-engineering.

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JP

Joshua Pinkerton

Screened ReferencesModerate rec.

Senior Backend Engineer specializing in FinTech and distributed systems

Los Angeles, CA13y exp
AltruistUC Irvine

Backend-focused engineer with deep Java/Spring expertise in fintech and SaaS integrations, including high-scale financial data pipelines and partner-facing APIs. Most notably re-platformed a 100M+ record ETL system to a custom concurrent Spring Batch architecture that cut failures dramatically and reduced infrastructure costs by over 90%, while also leading enterprise-grade event-driven integrations for customers like Bosch and Amazon.

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HD

Harbir Dhillon

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in distributed systems and cloud-based full-stack development

Stockton, CA3y exp
California Health Care FacilityVanderbilt University

Software engineering candidate who built a compiler-like Python tool to translate between Python code and UML-style diagrams (and back). Also has hands-on AWS experience building a distributed pub/sub system using services like Lambda, API Gateway, ELB, WAF, VPC, and DynamoDB, plus ML projects using Kaggle datasets (e.g., diabetes risk analysis).

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NB

Mid-level Robotics Planning & Control Engineer specializing in UAV autonomy

Berkeley, CA6y exp
University of California, BerkeleyNYU

Robotics software engineer focused on autonomy for fixed-wing and quadrotor UAVs, with deep experience in planning and advanced control (geometric control, trajectory optimization, nonlinear MPC). Recently designed an energy-aware NMPC for an autonomous glider, building a custom simulation/visualization framework to tune reward formulations. Has hands-on field deployment experience integrating ROS with PX4, optimizing node architecture for zero-copy performance, and building heterogeneous robot comms using Zenoh.

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NP

Navya Panyala

Screened

Senior Software Engineer specializing in identity, cloud-native microservices, and reactive web apps

Bentonville, AR6y exp
WalmartUniversity at Albany

Product-focused full-stack engineer with Walmart and Dell experience who built and shipped a real-time engagement dashboard end-to-end (Kafka Streams, Spring Boot, React/TypeScript/D3) used daily by business teams, moving them from next-day reports to real-time decisioning. Strong in performance/reliability (Redis caching cut latency ~40%, 90%+ test coverage, Prometheus/CloudWatch monitoring) and production operations on AWS/EKS including handling a cascading failure from a memory leak with zero-downtime rollback and redeploy.

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BG

Engineering Director specializing in distributed systems and enterprise cloud platforms

Waltham, MA10y exp
Dassault SystèmesBoston University

Engineering lead/player-coach working on project management software, owning a high-impact scheduling algorithm rewrite focused on performance, maintainability, and documentation after prior team turnover caused regressions. Previously at EOX Vantage, helped an insurance client modernize monolithic workflows by scoping ambiguous requirements into a roadmap and shipping a day-one MVP before iterating with value-add features.

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JS

Intern Software Engineer specializing in edge AI deployment and distributed systems

San Francisco, CA1y exp
Zetic AISan José State University

Full-stack engineer who built an enterprise search platform (Codlens) delivering natural-language Q&A over Jira/Slack using embeddings, vector DB search, re-ranking (RRF), and LLM responses with source grounding. Also designed and benchmarked a distributed IAM system with Postgres transaction-log replication and Raft-based quorum consistency, reporting ~253 TPS at ~60ms latency in a multi-node setup. Experience spans early-stage startups (Zetic AI, Sagwara Capital) and large-scale orgs (Akamai, Atlassian).

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RA

Junior Software Engineer specializing in distributed systems and cloud-native backend services

Boston, MA2y exp
BoroughUniversity of Michigan

Founding engineer at a civic-tech startup (Barrow) who built and operated a Next.js/TypeScript product with map-based public reporting, including clustering and dynamic geospatial loading to improve UX and performance. Also implemented a location-aware RAG chatbot using Pinecone, web scraping/transcription, caching, and fallback web search, and owned post-launch observability plus scaling decisions (load balancing/horizontal scaling) based on API usage patterns.

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Mithilesh Gaurihar - Mid-Level Software Engineer specializing in Java microservices and cloud-native systems in USA

Mid-Level Software Engineer specializing in Java microservices and cloud-native systems

USA4y exp
CitigroupArizona State University

Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.

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Prateek Patil - Engineering Leader specializing in Digital Health, AI, and Cloud Platforms in Santa Clara, CA

Prateek Patil

Screened

Engineering Leader specializing in Digital Health, AI, and Cloud Platforms

Santa Clara, CA16y exp
RocheIllinois Institute of Technology

Senior Engineering Manager at Roche leading two Scrum teams building internally shared (“inner-sourced”) tools and libraries for a healthcare enterprise. Has led security/compliance-first architecture decisions (e.g., Python AI modules running inside a Java container) and front-end modularization (Angular monorepo to module federation), with a strong focus on developer experience via automated Swagger/OpenAPI documentation and robust testing/versioning practices.

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Chia-En Lu - Junior AI/ML Systems Engineer specializing in LLM infrastructure and distributed training

Chia-En Lu

Screened

Junior AI/ML Systems Engineer specializing in LLM infrastructure and distributed training

1y exp
GenseeAIUC San Diego

Built and shipped a production NMT system translating medical documentation for a rare/low-resource language, tackling data scarcity with retrieval-driven pattern matching plus dictionary/grammar- and LLM-based augmentation and validating quality with a linguistic expert. Also develops agentic LLM workflows with LangChain/LangGraph (including a deep-research style system) and has experience aligning medical AI deployments with clinician-defined risk metrics and human-in-the-loop decision making.

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Joshua AmrithRaj - Mid-level Robotics Software Engineer specializing in ROS2 autonomy and manipulation in San Jose, CA

Mid-level Robotics Software Engineer specializing in ROS2 autonomy and manipulation

San Jose, CA4y exp
HondaWorcester Polytechnic Institute

Robotics software engineer with hands-on experience building ROS2-based distributed multi-robot systems, including task allocation (distance cost matrix) and navigation using Nav2/DWA. Previously on Vicarious’s grasping team, implementing real-world box-picking with vacuum suction and force/torque sensing plus recovery behaviors. Also brings strong engineering hygiene with Gazebo simulation, Dockerized deployments across offices, and GitHub Actions CI/CD with unit/integration testing.

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