Vetted Postman Professionals

Pre-screened and vetted.

GL

Mid-level Software Engineer specializing in Java microservices for FinTech

Texas, USA4y exp
JPMorgan ChaseUniversity of South Florida

Engineer working on high-throughput financial systems who uses AI pragmatically to accelerate development without sacrificing design ownership, correctness, or compliance. Particularly interesting for teams building regulated, real-time platforms: they have hands-on experience integrating fraud detection models into microservices, handling transaction ingestion, scoring, decisioning, and throughput-sensitive asynchronous workflows.

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TP

Teja Paladagu

Screened

Mid-level Software Engineer specializing in full-stack and AI-powered cloud applications

Dearborn, MI7y exp
FordRutgers University–New Brunswick

Currently building a DBC (Digital Birth Certificate) agentic AI system to speed root cause investigation for quality issues at their company. They bring hands-on experience designing and leading multi-agent workflows, including orchestrator/root-agent patterns, evaluation agents, clarification agents, and practical guardrails for hallucination, bias, and rate-limit management.

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Antonio Pavicevac-Ortiz - Senior Full-Stack Engineer specializing in React/Next.js for FinTech and media

Senior Full-Stack Engineer specializing in React/Next.js for FinTech and media

11y exp
HillfinderFashion Institute of Technology

Built Hillfinder, a self-directed terrain-aware navigation app for cyclists, runners, and skaters, using React, Next.js, TypeScript, MongoDB, and Mapbox. Stands out for owning a complex browser-based geospatial UI and solving tricky async state and loader synchronization issues with event-driven architecture while emphasizing polished, trustworthy UX.

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Namrata Shivshankar patil - Mid-level Backend/Full-Stack Engineer specializing in cloud, AI, and distributed systems in Arlington, TX

Mid-level Backend/Full-Stack Engineer specializing in cloud, AI, and distributed systems

Arlington, TX6y exp
University of Texas at ArlingtonUniversity of Texas at Arlington

Built and shipped internal AI support systems spanning Angular/TypeScript frontends, Java/Spring/AWS backends, and Claude-powered troubleshooting workflows. Stands out for combining full-stack product delivery with practical LLM engineering, including RAG, structured outputs, production evals, and careful human-in-the-loop safety decisions. Has shipped systems serving 150-800 daily sessions at 99.5% availability while reducing repetitive support burden.

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NR

Mid Software Engineer specializing in FinTech and ML-powered backend systems

Arlington, VA4y exp
Global PaymentsGeorge Washington University

Backend-leaning full-stack engineer who has shipped real-time, customer-facing dashboards and ticketing/payment features at Freshworks and Global Payments. Strong in Python API design (Django/Flask/FastAPI) and React/TypeScript UIs, with hands-on experience scaling PostgreSQL for high transaction volumes and operating services on AWS, including incident response and HIPAA-aligned security controls.

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AS

Junior Full-Stack Developer specializing in FinTech and Healthcare platforms

Boston, MA2y exp
State StreetNortheastern University

Frontend-focused engineer with experience spanning AI interview coaching and institutional financial dashboards. Stands out for combining user-centered UI design with deep browser-performance work, including reducing dashboard lag via virtualization and building low-stress, progressive-disclosure interfaces for anxious job seekers.

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DP

Dev PARIKH

Screened

Mid-level Software Engineer specializing in backend systems and applied AI

Baltimore, MD4y exp
QualcommUniversity of Maryland, Baltimore County

Backend/full-stack engineer at Qualcomm who built and operated a drift monitoring platform for 10k+ edge AI models. Stands out for combining strong TypeScript/React/Node execution with production-grade systems thinking across PostgreSQL tuning, Redis caching, ECS deployments, and Kafka-based architectural improvements that measurably improved reliability and release speed.

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MS

Manali Shetye

Screened

Mid-level Applied AI & Data Engineer specializing in automation and enterprise analytics

Irving, Texas4y exp
Trend MicroUniversity of Texas at Arlington

Backend engineer with experience evolving a high-volume agricultural loan processing platform (APMS) at HDFC Bank, emphasizing transactional integrity, auditability, and modularity while integrating with credit bureaus, document management, and risk engines. Also improved automation/reporting robustness at Trend Micro by catching duplicate-event retry edge cases and adding idempotency safeguards.

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AK

Ajay Kumar

Screened

Mid-Level Java Full-Stack Developer specializing in Financial Services and Healthcare IT

6y exp
VanguardLewis University

Full-stack engineer with experience at Vanguard, PNC, and Humana building customer-facing investment/banking flows and internal ops tools using Angular/React/TypeScript with Spring Boot microservices. Strong in shipping time-sensitive changes safely via automated testing/CI (JUnit/Mockito, Jenkins, SonarQube) and in operating event-driven microservices with Kafka (idempotency, retries, correlation IDs). Improved internal tool adoption by responding to ops/support feedback with query optimization and clearer search results.

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LG

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

IL, USA5y exp
Charles SchwabEastern Illinois University

Full-stack engineer with hands-on experience building a large-scale healthcare claims and provider-enrollment system end-to-end (React frontend, Spring Boot microservices, PostgreSQL on AWS). Optimized high-volume claims processing (millions of records/day) using indexing/pagination and asynchronous workloads via AWS Lambda/Kafka, and deployed containerized services with Docker/Jenkins on AWS.

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MK

Manasa Konda

Screened

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

Bentonville, AR4y exp
WalmartUniversity of Central Missouri

Software engineer with experience at Walmart and Amex building customer-facing backend services and microservices at scale (RabbitMQ). Built an internal developer tooling platform integrating Figma with GitHub Copilot to automate consistent React component creation, adopted across multiple teams; emphasizes fast, safe iteration using metrics, feature flags, gradual rollouts, and automated testing.

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NP

Neha P

Screened

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

Texas, State4y exp
Bank of AmericaUniversity of Central Missouri

Full-stack engineer with Bank of America experience modernizing a large-scale financial reporting platform. Built React frontends and Java/Spring Boot microservice APIs end-to-end, optimized data-heavy SQL performance (indexing/caching/pagination), and implemented an AI feature for forecasting and anomaly detection using Python/scikit-learn, with deployments supported on AWS.

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ZG

Zhilang Gui

Screened

Junior Solutions Engineer / Full-Stack Engineer specializing in AI-native SaaS and APIs

San Francisco, CA1y exp
EasyBee AIBoston University

Worked at easybee ai building a production-grade "voice of the customer" LLM intake agent, hardening a fragile sandbox prototype with JSON-schema constrained outputs, Python/FastAPI validation middleware, and automated retries. Strong in real-time debugging of agentic workflows (snapshot isolation, modular tracing) and in implementing safety/compliance guardrails like a content-moderation middleware to support enterprise adoption.

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SC

Mid-level Full-Stack Software Developer specializing in LLM and agentic JavaScript platforms

Remote, United States5y exp
JPMorgan ChaseGeorge Washington University

Maintained and improved a set of JavaScript packages at JPMorgan, including a major refactor of an event-emission layer used in LLM streaming that delivered ~20% runtime speedup with no API changes. Known for a measurement-driven performance approach (profiling + simplification + validation), strong backward-compatibility discipline, and documentation that accelerates internal adoption and reduces support questions.

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BK

Bharath Katam

Screened

Mid-level QA Automation Engineer / SDET specializing in Financial Services and Healthcare IT

USA5y exp
Morgan StanleyDePaul University

QA automation engineer with end-to-end ownership of a loan-processing automation suite spanning UI, API, and database validations (Selenium/Playwright/TestNG/REST Assured; Java/Python). Caught and prevented high-impact financial defects (e.g., risk-calculation rounding errors) through CI-driven nightly regressions and API-to-DB checks, and has implemented maintainable Cypress patterns with flake reduction plus GitLab CI gating and Allure reporting.

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VR

Director-level Engineering & Technology Leader specializing in digital transformation and enterprise platforms

Edmond, Oklahoma21y exp
Longbridge FinancialMarist College

Providing technical guidance to a small team exploring a biomedical startup focused on earlier disease detection, including for remote/underserved areas. The venture is in ideation with initial research completed and is moving toward prototyping while exploring initial investment/support.

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UK

usha kodati

Screened

Mid-level Full-Stack Developer specializing in banking and cloud-native microservices

Dallas, Texas4y exp
TCSVaagdevi College of Engineering

Software engineer with Citi Bank experience building real-time fraud validation/scoring for loan processing, spanning Spring Boot microservices and a FastAPI Python service secured with OAuth2/JWT. Delivered React/TypeScript operations dashboards and deployed containerized services via Docker/Kubernetes with Jenkins CI/CD, while also tuning databases (Oracle/Postgres) and handling high-volume latency/scaling issues using ELK, caching, and autoscaling on AWS.

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SN

Director of Customer Success specializing in enterprise data platforms and hybrid cloud

18y exp
Voltron DataOklahoma State University

Enterprise Principal/Lead CSM with experience owning high-profile tech, fintech, and government accounts end-to-end, including regulated AWS high-side deployments for a GPU-accelerated query engine. Built onboarding and VoC programs from the ground up, drove 90% adoption in 2 months, and influenced roadmap changes delivering 10x performance gains. Previously led Cloudera’s Apple relationship across 40+ teams and delivered 125% NRR through cloud/hybrid expansion and POCs.

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YM

Yogi Makadiya

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and DevSecOps

Seattle, WA3y exp
CuraJoyUniversity of Maryland, College Park

Backend-leaning product engineer with DevSecOps depth who has shipped real-time, Kafka-driven data pipelines and AI-enabled customer-facing features to production on AWS. Built a Spring Boot API layer serving real-time predictions at 100K+ requests/day, improving latency by 35% and user task completion by ~25%, and delivered a React/TypeScript dashboard plus a Postgres audit/history model optimized for search and large event volumes.

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AH

Ansh Harjai

Screened

Junior Software Engineer specializing in AI, RAG systems, and backend development

Brooklyn, NY1y exp
New York UniversityNYU

Built an NYU software engineering capstone called “Smart Cash AI,” a multi-agent LLM-powered web app that curates offline-ready podcasts/articles/videos/news based on user preferences and commute schedules. Architected agent orchestration (discovery/downloader/summarizer), real-time progress via WebSockets, and an ETL normalization layer across RSS/YouTube and other sources with GUID-based deduplication, retries, and failure isolation to keep the system predictable.

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Sai Kondapaka - Mid-Level Software Engineer specializing in microservices, data pipelines, and FinTech fraud detection in Remote, USA

Sai Kondapaka

Screened

Mid-Level Software Engineer specializing in microservices, data pipelines, and FinTech fraud detection

Remote, USA5y exp
PayPalCalifornia State University

Backend engineer with PayPal experience owning a high-throughput, low-latency fraud detection pipeline processing billions of transactions/day, integrating LLM-based models into real-time Kafka streams and payment decisioning APIs. Strong Kubernetes + GitOps practitioner (declarative, auditable deployments; autoscaling/probe tuning) with migration experience modernizing legacy systems onto AKS/OpenShift.

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SNEHA KUSUMA - Mid-level Java Full-Stack Developer specializing in banking and telecom platforms in Dallas, TX

SNEHA KUSUMA

Screened

Mid-level Java Full-Stack Developer specializing in banking and telecom platforms

Dallas, TX5y exp
U.S. BankUniversity of Central Missouri

Frontend-focused engineer with experience at T-Mobile and U.S. Bank who maintained a TypeScript utility library (types, tests, build pipeline, and docs) adopted by multiple teams, and improved React workflow performance by refactoring components and optimizing data fetching. Known for pragmatic cross-team support—reproducing issues quickly, shipping well-tested fixes, and managing changes carefully to avoid breaking downstream apps.

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Brigif Bagus Santoso - Senior QA Engineer specializing in mobile and web application testing in Jakarta, Indonesia

Senior QA Engineer specializing in mobile and web application testing

Jakarta, Indonesia8y exp
Primaya HospitalBINUS University

Console game QA tester with hands-on experience validating functionality, UI/controls, loading/performance, and payment-related features across multiple console platforms. Works from structured test cases in TestRail, manages daily QA readiness and regression cycles, and escalates issues quickly via Jira bug cards while coordinating prioritization with developers and PMs under tight submission deadlines. ISTQB CTFL certified and interested in high-impact, demanding projects.

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Razim Julianto - Senior QA Engineer specializing in manual/automation testing for web and mobile products in Korea

Senior QA Engineer specializing in manual/automation testing for web and mobile products

Korea7y exp
SendbirdPadjadjaran University

QA tester with experience at Tokopedia (major Indonesian e-commerce) handling concurrent web/Android/iOS releases, including regression testing, stakeholder coordination, and full bug-ticket lifecycle management. Has additional PC/mobile game testing exposure (personal/adhoc) and uses AI tools to generate edge test cases and detect bug patterns; interested in taking on heavy, high-impact projects.

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