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Vetted Software Engineers

Pre-screened and vetted.

PythonDockerJavaScriptCI/CDReactAWS
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AH

Austin Hastings

Senior Backend Engineer specializing in cloud-native microservices and secure APIs

Texas City, TX11y exp
WalmartUniversity of Texas at Austin
PythonFastAPIFlaskDjangoNode.jsJava+75
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MN

Michael Nevels

Senior Software Engineer specializing in Healthcare IT platforms

Lawrenceville, GA11y exp
One MedicalTufts University
C#PythonFastAPIFlaskDjangoRedux+114
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XY

Xiedan You

Mid-Level Software Engineer specializing in AI systems and full-stack development

Atlanta, GA3y exp
Joblogic-XUniversity of Texas at Austin
PythonJavaJavaScriptTypeScriptC++Go+71
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YB

Yusuf Baig

Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems

New York City, NY4y exp
Canyon CodeNYU
PythonC++CC#SQLJavaScript+57
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SB

Shiyan Boxer

Mid-Level Software Engineer specializing in GenAI and FinTech

San Francisco, CA6y exp
CascaQueen's University
PythonTypeScriptJavaScriptRubyReactReact Native+52
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JS

Jimmy Smith

Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products

Winchester, TN9y exp
SambaNovaSewanee: The University of the South
AgileApache HadoopApache KafkaApache SparkAWSBERT+125
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RM

Robert-Mihai Mihai

Mid-level Software Engineer specializing in Unity game development and graphics engineering

Bucharest, Romania6y exp
Moon Active
C#.NETCC++UnityUnit Testing+40
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VP

Viraj Paresh Shah

Screened ReferencesModerate rec.

Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and compliance

San Francisco, California6y exp
CiscoUC Irvine

“Full-stack/backend engineer with healthcare and enterprise experience: built and secured AWS-hosted services for a clinical EHR product that redacts/transforms hospital patient records for pharma customers (e.g., AstraZeneca, Johnson & Johnson). At Cisco, led an incremental Ruby-to-Python/Django migration for a compliance backend, and has deep multi-tenant security experience using Postgres RLS tied to JWT plus DLQ patterns to harden data pipelines.”

PythonJavaJavaScriptC++RubySQL+113
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VE

Vaughn Eugenio

Screened ReferencesModerate rec.

Mid-Level Software Engineer specializing in distributed microservices and real-time systems

2y exp
DraftKingsUniversity of South Carolina

“Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).”

C#JavaPythonJavaScriptTypeScript.NET+76
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NK

NEHA KOLAN

Screened

Mid-Level Software Engineer specializing in microservices and cloud data pipelines

Texas, USA4y exp
CignaUniversity of North Texas

“Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.”

A/B TestingAmazon RedshiftAmazon SageMakerAnomaly DetectionApache AirflowApache Kafka+122
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HG

Hrishikesh Gawde

Screened

Mid-Level Software Engineer specializing in AI/LLM systems and Azure backend platforms

4y exp
DeloitteUniversity of Washington

“LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.”

AWSAgentic AIAzure DevOpsAzure FunctionsCI/CDC#+73
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JB

Jahnavi Bellapukonda

Screened

Mid-Level Software Engineer specializing in full-stack web and cloud systems

Remote, USA3y exp
AdobeTexas Tech University

“Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.”

JavaMicroservicesSpring BootObject-Oriented Programming (OOP)PythonMultithreading+170
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MG

Mithilesh Gaurihar

Screened

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.”

AgileAJAXAmazon EC2Amazon RDSAmazon S3Amazon CloudWatch+138
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CC

Caden Cheah

Screened

Intern Full-Stack/ML Engineer specializing in LLM applications and mobile development

Los Angeles, CA1y exp
IlloominateUC Berkeley

“Backend engineer who built a serverless AWS Lambda microservices backend for a parenting assistance mobile app, including a personalized recommendation system optimized to sub-500ms via precomputed scoring and DynamoDB caching. Demonstrates strong production pragmatism: CloudWatch-driven performance tuning (provisioned concurrency), zero-downtime phased schema migrations, and robustness patterns like optimistic locking and request deduplication. Also led a refactor of an LLM RAG pipeline to improve retrieval quality and cut latency from ~5s to ~3s.”

PythonJavaGoCC#C+++104
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CN

Chakradhar Nidujuvvi

Screened

Mid-Level Software Engineer specializing in Java, Spring Boot, and AWS

USA4y exp
Progress SolutionsUniversity of Michigan

“Built and deployed a production credit card fraud detection platform that scores transactions in real time using TensorFlow/scikit-learn models exposed via a Spring Boot REST API, with strict SLAs, fallback to legacy rules, and Splunk-based monitoring/drift tracking. Also has enterprise orchestration experience with TIBCO BusinessWorks (BW 6.6/BWCE), coordinating REST/SOAP services and JMS messaging (TIBCO EMS) with robust error handling and compensation logic.”

AgileAngularApache TomcatAWSAWS CloudFormationComputer Vision+71
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KM

keerthana medaveni

Screened

Mid-Level AI/ML Software Engineer specializing in agentic LLM systems

Dallas, Texas6y exp
DatatronUniversity of West Florida

“Built and deployed a production LLM-powered multi-agent compliance copilot (life sciences/finance) using LangChain/LangGraph + RAG over vector databases, delivered via async FastAPI on Kubernetes. Emphasizes audit-ready, deterministic outputs with schema constraints and citations, plus rigorous evaluation/monitoring; reports 60%+ reduction in manual research time and successful production adoption.”

AgileAJAXAmazon DynamoDBAmazon S3AngularApache Hadoop+142
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SC

Silvio Carrera

Screened

Senior Gameplay & UI Programmer specializing in VR game development

Warwick, UK8y exp
Build A Rocket BoyUniversidade Católica de Pernambuco

“Unity/VR gameplay engineer with shipped Ubisoft experience on Assassin's Creed Nexus VR, improving core interaction systems (doors) for comfort and predictability and iterating mechanics (pickpocketing) using player feedback and analytics. Also prototyped Photon Fusion multiplayer features for a Rainbow Six Siege-related project, focusing on synchronization and tactical-feel networking tradeoffs, and has experience setting up project architecture and collaborating closely with design/UI teams (including at Sumo on a football manager project).”

C#C++JavaScriptUnreal EngineUnityGit+41
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JA

Joshua AmrithRaj

Screened

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.”

ROS 2Distributed SystemsComputer VisionGazeboDockerCI/CD+91
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YC

Yuan-Hao Chen

Screened

Intern Software Engineer specializing in backend systems and cloud infrastructure

Urbana, IL1y exp
ReDirectUniversity of Illinois Urbana-Champaign

“Backend-focused intern who owned real-time livestream features: live comment moderation using AWS Comprehend (sentiment/toxicity/PII) with safe fallbacks, plus AI-generated positive commentary via AWS Bedrock (Claude 3 Haiku). Emphasizes reliability/low-latency design, IAM troubleshooting, and disciplined GitOps-style CI workflows for reproducible deployments.”

PythonJavaScriptJavaC++Node.jsSpring Boot+82
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SS

Shreyansh Srivastava

Screened

Mid-Level Full-Stack Software Engineer specializing in API-first microservices and cloud platforms

Arlington, TX4y exp
University of Texas at ArlingtonUniversity of Texas at Arlington

“Backend-focused engineer who built a resume processing and job application platform using Python/MongoDB/Streamlit, including OpenAI-powered skill/keyword extraction and recruiter-facing search/filtering. Has hands-on cloud deployment experience on AWS/Azure and executed an on-prem reservation portal migration to Azure using a phased trial-and-cutover approach; also automated CI/CD with Jenkins and GitHub Actions.”

AuthenticationAuthorizationAWSAWS LambdaAzure DevOpsBootstrap+91
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HT

Hassam Tariq

Screened

Mid-Level Software Engineer specializing in Cloud, GenAI, and Federal systems

Arlington, VA
DeloitteUniversity of Maryland, College Park

“Cloud-focused engineer experienced deploying and stabilizing complex production systems that span APIs, infrastructure, and automated workflows, with a strong observability and safe-release mindset (feature flags/canaries/rollbacks). Has hands-on, customer-facing incident leadership, including executing DR regional failover during an AWS us-east-1 outage to maintain service and reportedly save a client ~$10M.”

Agentic AIAmazon BedrockAmazon DynamoDBAmazon EC2Amazon EKSAmazon ECS+126
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PP

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.”

JavaPythonObject-oriented programming (OOP)Design patternsAlgorithmsDistributed systems+112
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AK

Aashna Kunkolienker

Screened

Junior AI Engineer specializing in agentic workflows and ML platforms

San Ramon, CA2y exp
SearceNYU

“Building a production LLM/agent system for a leading US dental provider that extracts rules from payer handbooks/portals and EDI 271 responses to validate and improve patient cost estimates. Combines GCP stack (BigQuery, GKE, Cloud Run, Pub/Sub, Vertex AI) with strong agent reliability practices (observability, validator agents, grounding, PII/hallucination guardrails, confidence scoring) and has led non-technical customer stakeholders on enterprise ServiceNow↔Aha sync and AI-powered enterprise search/summarization.”

PythonCC++JavaJavaScriptSQL+105
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