Vetted Distributed Systems Professionals

Pre-screened and vetted.

Sandeep Gandhi - Executive technology leader specializing in FinTech, identity, and AI-native platforms in San Ramon, CA

Executive technology leader specializing in FinTech, identity, and AI-native platforms

San Ramon, CA26y exp
IDmissionKIT College of Engineering

Current CTO of Idmission leading a 150+ person engineering organization, with deep experience scaling delivery, CI/CD, and architecture modernization. Combines executive leadership with hands-on technical depth across microservices, Kubernetes, and AI systems, including a RAG support platform that reduced resolution time by 50% and passive liveness technology that improved client acquisition by 20%.

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shelly tomar - Mid-level Founding Engineer specializing in agentic AI for healthcare in null

shelly tomar

Screened

Mid-level Founding Engineer specializing in agentic AI for healthcare

null4y exp
UnitedHealth GroupUniversity at Buffalo

Founding engineer at Grosha who built and operated the backend from scratch, helping scale the product to 65+ countries in a fast-moving startup environment. Also brings healthcare AI experience from United Health Group, where they built backend pipelines for ambient AI scribing using transcription APIs and LLM orchestration with custom validation layers for clinical reliability.

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Ekta Singh - Senior Backend Software Engineer specializing in cloud-native payments and billing systems in San Francisco, CA

Senior Backend Software Engineer specializing in cloud-native payments and billing systems

San Francisco, CA13y exp
SintegraDr. A.P.J. Abdul Kalam Technical University
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JK

Senior Technical Support Engineer specializing in cloud and distributed systems

San Jose, CA11y exp
WilloWeb, Inc.Eastern Washington University
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NV

Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS

Boston, MA4y exp
M&T BankNortheastern University
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GP

Mid-Level Full-Stack Software Engineer specializing in Cloud, Microservices & Distributed Systems

USA6y exp
State StreetCalifornia State University
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YS

Mid-level Software Engineer specializing in cloud infrastructure and DevOps

New York, USA5y exp
MphasisStony Brook University
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JM

Mid-level Machine Learning Engineer specializing in Generative AI and MLOps

USA4y exp
Piper SandlerNortheastern University
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KL

Mid-level .NET Developer specializing in cloud-native web applications on Azure

Atlanta, GA6y exp
CVS HealthSaint Louis University
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KJ

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Saint Louis, Missouri5y exp
Anheuser-BuschUniversity of Missouri-Kansas City
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MR

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

Chandler, AZ4y exp
University Design InstituteArizona State University
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DS

Mid-level Software Engineer specializing in distributed SaaS systems

McLean, VA4y exp
CventBrigham Young University
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JH

Senior Software Engineer specializing in FinTech and distributed systems

Waco, TX9y exp
CapgeminiBaylor University
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NP

Nency Patel

Screened ReferencesModerate rec.

Intern Backend Software Engineer specializing in AI and distributed systems

California, USA1y exp
BravenRutgers University

Built and owned an enterprise AI document-processing deployment at an automotive tech startup, taking it from discovery to stabilization. Strong in production LLM/RAG systems and backend reliability, with measurable impact including 8,000+ documents processed monthly and turnaround time reduced from nearly 24 hours to about 3 hours.

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MP

Mrunal Patil

Screened

Mid-Level Software Engineer specializing in FinTech microservices

Remote, USA3y exp
StartEngineGeorge Mason University

Backend engineer with experience in fraud reporting and billing systems, building Java/Spring Boot services behind a React frontend and improving performance 40%+ with caching and SQL optimization while maintaining 99.9% uptime. Has hands-on experience migrating a monolith to microservices with incremental rollout, clear data ownership boundaries, and production-grade API reliability/security practices (JWT/OAuth, RBAC, row-level scoping).

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MR

Manish Reddy

Screened

Mid-level Backend Engineer specializing in distributed microservices and event-driven systems

Los Angeles, CA3y exp
Kore.aiCal State San Bernardino

Software engineer (Yellow.ai) who built and productionized an AI-driven resume tailoring system using embeddings + Chroma RAG + QLoRA fine-tuning, deployed via Docker/Kubernetes with CI/CD on a CPU-only Oracle VM. Demonstrates strong reliability/evaluation rigor (custom hallucination/coverage/relevance metrics) and measurable business impact, including a 60% user satisfaction lift from improving chatbot intent accuracy with product and support teams.

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RM

Mid-level AI Software Engineer specializing in computer vision and multimodal systems

Stony Brook, NY4y exp
Alpha-1 BiologicsStony Brook University

Robotics/perception engineer focused on production-grade, real-time systems—optimized self-supervised segmentation on Jetson Nano from ~6–10 FPS to ~20–25 FPS and scaled experimentation/deployment by unifying 15+ edge models in a modular PyTorch Lightning framework. Experienced integrating distributed LiDAR-camera fusion via gRPC/protobuf into mission planning, migrating ROS1→ROS2 Foxy for multi-drone perception, and adding Prometheus-based observability for long-running deployments.

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AS

Arju Singh

Screened

Mid-level Machine Learning Engineer specializing in LLM apps, RAG pipelines, and MLOps

2y exp
Pervaziv AIIndiana University Bloomington

Software engineer with connected-car/automotive production experience who owned an end-to-end remote door lock/unlock feature and introduced unit testing (GTest) plus rig/simulator validation. Also built and productionized an AI-native AWS cloud cost assistant (Lex + GPT-based LLM + Lambda + RAG/vector DB) with guardrails and achieved 94% evaluation accuracy. Helped replace a third-party solution with an in-house build, saving the company ~€9M.

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BS

Ben Smyth

Screened

Executive Cryptography & Cybersecurity Leader specializing in end-to-end encryption and verification

Tokyo, Japan20y exp
Async TokyoUniversity of Birmingham

Exited Founder-CEO with deep-tech experience who raised capital and built a venture around making end-to-end encryption with cloud-level performance and data sovereignty feasible. Demonstrated first-principles technical rigor (network/TCP analysis) to prove scientific feasibility, then progressed from proof of concept to prototype and eventual exit, with a strong bias toward ultra-lean, customer-paid MVPs.

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AA

Archi Agrawal

Screened

Mid-level Software Developer specializing in microservices and AWS cloud-native systems

United States3y exp
Saayam for AllArizona State University

Full-stack engineer focused on application-layer product work (70–75%), with production experience building real-time operational dashboards (React/TypeScript + Node/Express + WebSockets + Postgres) and measurable impact (50% reduction in data entry time). Also owned a Flask backend for a SaaS product with token auth/RBAC, versioning, observability, and performance tuning, and has operated containerized apps on AWS (EKS, RDS/Aurora, S3, API Gateway) including handling a real latency/scaling incident end-to-end.

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Paul Tran - Executive Technology Leader specializing in SaaS, federal consulting, and digital transformation in Tysons Corner, VA

Paul Tran

Screened

Executive Technology Leader specializing in SaaS, federal consulting, and digital transformation

Tysons Corner, VA31y exp
JaisdaUniversity of Maryland, College Park

Former CEO of GravyWork with hands-on experience building an org-wide strategic plan and modernization roadmap for a growing company. Uses Michael Gerber’s innovation/orchestration/quantification framework and structured as-is/gap/to-be analysis to drive cost reduction, automation/outsourcing decisions, and leadership alignment through change.

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Harshini Jonnala - Senior Backend Software Engineer specializing in distributed systems and cloud microservices in Hyderabad, India

Senior Backend Software Engineer specializing in distributed systems and cloud microservices

Hyderabad, India2y exp
NTT DATASanta Clara University

Backend engineer with NTT Data experience building Java/Spring Boot services for product-data ingestion, including Kafka-based asynchronous pipelines and Redis read-through caching. Also built a personal RAG system deployed on Google Kubernetes Service using FastAPI, LangChain, and Pinecone with multi-tenant data isolation; holds a Master’s background in Machine Learning.

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