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Vetted TypeScript Professionals

Pre-screened and vetted.

TypeScriptJavaScriptReactPythonDockerCI/CD
JR

Jalilur Rahman

Mid-level Full-Stack Engineer specializing in React and Java microservices

New York, United States5y exp
UberFullstack Academy
JavaSQLJavaScriptTypeScriptPythonSpring Boot+86
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VG

Vineeth G

Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations

5y exp
Johnson & JohnsonPurdue University
ReactAngularJavaScriptTypeScriptSASSBootstrap+100
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AS

Akhilaa Sonduri Panthangi

Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps

Cambridge, MA2y exp
HubSpotUSC
Amazon EC2Amazon RDSAmazon S3Amazon VPCAngularAWS+62
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SG

Sean Gannon

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

New York, NY6y exp
IndeedNYU
API DesignAsynchronous ProcessingAWSC++CachingCI/CD+60
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GC

Gopi CHINTHAGUMPULA

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

USA, USA4y exp
UberTexas A&M University–Kingsville
JavaKotlinPythonTypeScriptSQLSwift+92
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KG

Khaliun Gerel

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms

New York, NY7y exp
GertechColumbia University

“Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.”

JavaScriptTypeScriptPythonJavaReactNext.js+137
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OE

Osaze Edo-Osagie

Screened ReferencesStrong rec.

Senior Frontend/Full-Stack Engineer specializing in React and TypeScript

New York, USA7y exp
MeltwaterUniversity of Nottingham

“Frontend engineer from Meltwater who led delivery of a universal post details modal used across multiple apps, integrating three different frontend frameworks (Vue, React, StencilJS) into a plug-and-play StencilJS feature. Built scalable, reusable UI components and even helped create an internal CSS library/design system, with a strong focus on performance optimization and reliable QA-driven rollouts.”

A/B TestingAzure DevOpsBitbucketBootstrapC#CSS+85
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MM

Matthew Mullins

Screened

Senior Software Engineer specializing in AI/ML backend and cloud infrastructure

Bentonville, AR11y exp
WalmartUniversity of Houston

“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”

PythonFastAPIDjangoSQLAlchemyPySparkSQL+132
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VM

Vamsi M

Screened

Senior QA Automation Engineer specializing in Playwright UI and API test automation

Phoenix, AZ7y exp
American ExpressUniversity of North Texas

“QA automation engineer with American Express experience owning an end-to-end UI regression suite for critical payment/transaction workflows. Rebuilt the suite with Playwright (BDD/TestNG/POM) and integrated it into CI to catch release-blocking issues like UI/backend payment mismatches and session timeout defects, and applies risk-based test strategy including MFA payment flows.”

AgileAPI TestingAWSAWS GlueBitbucketCI/CD+72
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HM

Harinee Mohanakrishnan

Screened

Junior AI/ML & Cloud Software Engineer specializing in LLM applications

2y exp
Randomwalk.AIUniversity of Illinois Urbana-Champaign

“AI engineer (2+ years; pursuing an online MS at UIUC) who has shipped an AI-powered voice screening platform end-to-end on GCP with strong production monitoring and measurable hiring-process impact (80% reduction in unqualified pass-through; ~50+ hours saved per role). Also built and deployed an AWS-based context-aware hybrid search system using OpenSearch as a vector store, and has hands-on experience with multi-agent LLM orchestration (ReAct) and structured-output guardrails.”

Amazon S3API IntegrationAWSCI/CDCloud ComputingComputer Vision+95
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HK

Hari Kiran Reddy Rommala

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms

Austin, TX5y exp
Northeastern UniversityPenn State University

“LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.”

AlertingAmazon API GatewayAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon Kinesis+181
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JC

Jenny Cheng

Screened

Junior Full-Stack/ML Engineer specializing in LLM applications and cloud deployment

Remote, USA1y exp
MetaUC Irvine

“Full-stack developer with capstone and project experience delivering production-ready systems in unstructured environments, including a Faculty Tracking system for real departmental use. Strong in React performance debugging (re-render optimization with useMemo), Prisma-backed multi-database setups (MySQL local / SQL Server production on a UCI Health VM), and end-user support workflows that feed back into improved Help documentation.”

PythonTypeScriptJavaScriptJavaSwiftSQL+87
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SK

Surya Kumaraguru

Screened

Mid-level Product Lead and Customer Success Manager specializing in SaaS analytics and GTM

Mountain View, CA2y exp
StealthSanta Clara University

“Enterprise CSM with experience at IBM and Cloudera, focused on AI and cloud modernization engagements. Drives adoption, renewals, and expansion by building success plans with measurable ROI/usage outcomes, mediating complex stakeholder priorities, and unblocking deployments through tight Product/Engineering/Sales coordination. Also brings strong GTM analytics capability (Salesforce/HubSpot/GA/Tableau/SQL) to improve funnel performance and pipeline conversion.”

PythonSQLTableauMicrosoft ExcelFigmaHubSpot+82
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OO

Omolara Okubanjo

Screened

Senior DevOps/DevSecOps Engineer specializing in AWS & Azure cloud infrastructure

Fairfax, VA10y exp
Technatomy Digital SolutionUniversity of Lagos

“Infrastructure/DevOps-focused engineer working across Linux-based enterprise platforms that include IBM Power/AIX in a broader OpenShift/Kubernetes and cloud ecosystem. Built Azure DevOps CI/CD for containerized deployments and resolved a production deployment failure by tracing ImagePullBackOff to outdated registry credentials in Kubernetes secrets. Uses Terraform (with modular structure) plus Ansible to provision and standardize production environments with pipeline-based validation.”

AgileAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon ECSAmazon EKS+148
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MM

Meet Merchant

Screened

Mid-level Software Engineer specializing in LLM agents and full-stack systems

Redlands, California3y exp
EsriUC Irvine

“At Esri, the candidate is building a production LLM-powered WebGIS AI framework that embeds an AI assistant into web maps and routes natural-language requests into ArcGIS JavaScript SDK functions via a LangGraph-orchestrated, multi-agent system. They emphasize production reliability and scale (strict tool calling/JSON, live schema validation, query guardrails) and rigorous evaluation/observability using LangSmith, offline prompt datasets, and latency/tool-call accuracy tracking.”

AlgorithmsAngularAWSAWS LambdaCC#+105
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MN

mahesh narne

Screened

Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps

San Jose, CA3y exp
PayPalUniversity of Central Missouri

“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”

AngularAuthenticationAWSAWS LambdaBootstrapCI/CD+160
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RA

Rahul Anwardeen

Screened

Junior Robotics Software Engineer specializing in embedded radar and ROS2 autonomy

Mountain View, CA2y exp
SonatusJohns Hopkins University

“Robotics software engineer who has built full ROS 2 stacks for both a semi-automated robotic ultrasound system (UR5e + depth camera) and a quadrotor planning/MPC pipeline in Gazebo. Strong in integrating major ROS 2 frameworks (MoveIt/Nav2/RTAB-Map), writing custom packages (URDF, ACADOS-based MPC, laser landmark detection), and optimizing real-time behavior via GPU parallelization and distributed multi-threaded ROS 2 architectures; also contributes to ROS 2 core (structured parameters).”

API DevelopmentCC++Data StructuresDockerGazebo+90
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SA

Shivoham Angal

Screened

Junior Backend/Full-Stack Software Engineer specializing in cloud and Web3

Remote, New York1y exp
ZenZieeUSC

“Backend-focused engineer who built a hackathon trading vault (AntiSwan) integrating the Polymarket CLOB client and applying the Kelly Criterion for allocation decisions. In an internship at StartupU, owned pre-launch monitoring by building Azure dashboards and Terraform/KQL-driven alerts with Microsoft Teams webhook routing, and previously automated a DynamoDB cross-region migration with integrity checks.”

PythonJavaScriptTypeScriptSQLPHPJava+71
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TA

Tauhid Arah

Screened

Senior DevOps Engineer specializing in AWS cloud platform engineering and Kubernetes

The Bronx, NY12y exp
NETGEARFederal University of Technology Minna

“Cloud-focused DevOps/Infrastructure engineer with hands-on AWS high availability, migration cutovers, and production automation. Built Jenkins-based CI/CD pipelines (Git, SonarQube, Artifactory) and manages Terraform IaC with S3/DynamoDB remote state, PR-based reviews, and staged environment promotion; targets $160k base. No direct IBM Power/AIX/PowerHA experience.”

AgileAlertingAmazon CloudWatchAmazon EC2Amazon EKSAmazon EMR+98
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