Vetted CSS Professionals

Pre-screened and vetted.

JL

Julian Lee

Screened

Intern Software Engineer specializing in AI/LLMs and full-stack development

New York, New York1y exp
Highlight.AIUSC

AI/ML infrastructure-focused engineer who has built production RAG systems from scratch (Supabase/pgvector + OpenAI embeddings) and iterated using formal eval metrics to improve retrieval quality. Also debugged real-time audio issues in a LiveKit-based pipeline by correlating packet loss with VAD behavior, and has deep experience building brittle, customer-specific financial platform integrations in Python/Playwright (2FA, redirects, token refresh, rate limits).

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VS

Senior Full-Stack Java Developer specializing in cloud-native microservices and real-time web apps

New York, USA5y exp
SeatGeekPace University

Full-stack engineer/product owner who built and scaled a customer-facing job application portal (Skillbridge) using TypeScript/React and Spring Boot/MongoDB, optimizing search performance with indexing, caching (Redis), and payload/lazy-loading improvements. Also built an internal AI-driven analytics dashboard for Salesforce operations using OpenAI sentiment analysis, achieving 70% reduction in manual analysis and driving adoption through demos and iterative feedback.

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BC

Mid-level Full-Stack Developer specializing in React/Next.js and Node/NestJS

Remote, USA3y exp
WayfairWebster University

Full-stack engineer who built and owned an internal analytics dashboard for sales (React/TypeScript + Node/Express + NoSQL), delivering it two weeks early with zero production issues and a reported 10% sales-efficiency lift. Experienced with microservices and async messaging patterns (retries/DLQs/idempotency), and emphasizes rapid iteration with strong CI/CD and automated testing plus user-driven adoption.

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HS

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

California, USA4y exp
OracleCalifornia State University, Long Beach

Cloud-native integration engineer (Oracle/OCI) with strong production deployment and incident-response experience, including API gateway rollouts, observability (Prometheus/Grafana), and multi-layer debugging for payments systems. Built Python/FastAPI microservices and automation for customer-specific reporting and data sync, and has delivered major performance gains (45 min to <10) plus reliability improvements (MTTD reduced 40%+) through monitoring, playbooks, and resilient integration patterns (streaming/queuing, retries, secure tokens, VPC peering).

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NP

Namruth Potla

Screened

Senior .NET Software Engineer specializing in enterprise web applications

Dallas, TX5y exp
WalmartNorthwest Missouri State University

Backend engineer with Walmart experience owning Python data-processing/integration services alongside ASP.NET Core. Has deployed containerized services to Kubernetes via OpenShift with Jenkins CI/CD and GitOps-style config management, and has led phased migrations modernizing VB6/classic ASP apps to ASP.NET Core on OpenShift/Azure. Also implemented Kafka-based real-time pipelines with a focus on reliability, idempotency, and observability.

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JM

Jose Moreno

Screened

Senior Growth Marketer specializing in paid acquisition and performance creative testing

Santa Monica, CA6y exp
Universal Music GroupSeton Hall University

Growth creative lead with hands-on experience running end-to-end paid creative tests for major music/entertainment campaigns at UMG, including a vinyl sale push that cut CPA by 20%+ in a tight promo window. Known for a modular ad-building approach (hooks/value prop/proof/CTA) and platform-native optimization across Meta, TikTok, and YouTube, plus strong label/creative-team alignment and QA discipline (including tracking).

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AM

Asif Mulla

Screened

Mid-Level Software Engineer specializing in Java microservices and event-driven systems

Maryland, USA6y exp
Morgan StanleyUniversity of Alabama at Birmingham

Backend engineer on Morgan Stanley’s trade risk and compliance platform, building Java/Spring Boot microservices that validate equity and fixed-income trades at multi-million-events/day scale. Shipped an LLM-assisted trade exception analysis feature using RAG over internal policy documents and trade history, with production-grade guardrails (confidence thresholds, audit logs, human-in-the-loop) and measurable performance wins (~30–35% faster reporting) through PostgreSQL tuning and Redis caching.

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RP

Rubesh Phaiju

Screened

Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI

Mechanicsburg, PA8y exp
DeloitteUniversity of the Cumberlands

Deloitte engineer who built and shipped AI-powered, Kafka-driven workflow automation for transportation/document processing, including LLM-based semantic search. Strong in production reliability (idempotency, offset management, retries), observability (Datadog/CloudWatch), and database performance tuning (PostgreSQL/Flyway), with measurable latency improvements.

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RN

Mid-Level Software Engineer specializing in Python backend, data engineering, and cloud microservices

New Jersey, USA6y exp
Abacus InsightsNJIT

Backend-leaning full-stack engineer with production experience in both healthcare (claims enrichment/interoperability at Abacus) and finance (Goldman Sachs pricing/risk APIs + React dashboards). Built an event-driven AI grading platform using Postgres Debezium CDC + Kafka + FastAPI on AWS that cut manual grading ~70% and served 1000+ students, with strong emphasis on reliability, testing, and performance tuning.

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SR

Senior Cloud/DevOps Engineer specializing in Azure, Kubernetes, and Infrastructure as Code

Virginia, US5y exp
Electrify AmericaGeorge Mason University

Azure cloud platform engineer with strong enterprise Linux operations background who designs multi-region HA/DR on Azure (and AWS) using Azure Site Recovery, Traffic Manager, AKS autoscaling, and geo-replicated Azure SQL. Built secure Azure DevOps CI/CD pipelines for .NET/Python microservices to AKS/VMs and provisions full environments via Terraform modules with remote state, drift checks, and staged rollouts; has not directly owned IBM Power/AIX at scale.

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DS

Dev Sutariya

Screened

Mid-Level Full-Stack Software Engineer specializing in FinTech and modern web platforms

Durham, NC3y exp
Fidelity InvestmentsNorth Carolina State University

Software engineer at Fidelity who led a digital-first transformation of life insurance/annuity sales by building a self-service customer flow (questionnaires, auto-contract generation, eSign) and abstracting complex internal eSign APIs adopted across 8+ teams. Also builds modern real-time web apps (Next.js/React/TypeScript, Supabase/Postgres, WebSockets) and operates services with CI/CD, performance testing, and observability (Jenkins, Datadog, Splunk, Grafana) on AWS EKS.

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NT

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

Atlanta, GA6y exp
VisaMissouri University of Science and Technology

Software engineer with payments-domain experience (Visa) building real-time transaction monitoring and analytics systems. Strong end-to-end ownership across Spring Boot/Kafka microservices, PostgreSQL modeling, and AWS/Kubernetes operations, plus React+TypeScript dashboards—focused on low-latency processing, secure APIs, and zero-downtime production releases.

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ND

Nupoor Dode

Screened

Mid-Level Software Engineer specializing in backend systems and cloud-native platforms

Los Angeles, CA5y exp
RakutenUSC

Software engineer with experience across TCS, Rakuten, and USC who has owned production integrations and data pipelines end-to-end. Notably improved a trading platform payment flow by replacing fragile polling with a webhook-driven status system with robust fallbacks, and has shipped LLM-assisted design-to-webpage automation plus evaluation-driven prompt iteration (NYT Connections).

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SN

Mid-level Software Engineer specializing in data engineering on GCP

Bentonville, AR3y exp
WalmartLehigh University

Data engineer with hands-on experience migrating a legacy/mainframe-fed loader onto GCP, orchestrating daily SFTP-to-GCS ingestion, Spark/Scala transformations, and loading into Cassandra/Solr/OpenSearch with API- and BigQuery-based validation. Also built a Java Spring Boot service that extracts from Hive and produces Excel outputs, emphasizing testing, logging/alerts, and CI setup.

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Ashank Dsouza - Mid-level Full-Stack Developer specializing in Node.js/React and cloud DevOps in Bengaluru, India

Ashank Dsouza

Screened

Mid-level Full-Stack Developer specializing in Node.js/React and cloud DevOps

Bengaluru, India4y exp
TecnotreeArizona State University

Software engineer with startup and capstone experience who improved an ~8-hour database refresh workflow by moving API calls to asynchronous execution and then addressing API rate limits via throttling. Emphasizes performance profiling/logging, strong developer onboarding documentation practices, and disciplined Agile/Jira bug triage and expectation-setting with stakeholders.

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Danilo Plazas - Senior Full-Stack Software Engineer specializing in Frontend (React/JavaScript) in Vancouver, Canada

Danilo Plazas

Screened

Senior Full-Stack Software Engineer specializing in Frontend (React/JavaScript)

Vancouver, Canada10y exp
PaycorUniversidad Libre

Frontend-focused engineer with full-stack experience who modernized a legacy HR platform (CoffeeScript/Marionette) by migrating key UIs to React/Redux and adding TypeScript for robustness. Built an internal client monitoring tool end-to-end with a microservices-oriented approach and strong testing practices (Jest/Selenium), and also led a major GraphQL v1→v2 migration delivered incrementally over ~6 weeks while optimizing Django/MySQL/DynamoDB performance.

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Mandeep Kandhari - Senior Front-End Software Engineer specializing in in-vehicle React applications in Waterloo, Canada

Senior Front-End Software Engineer specializing in in-vehicle React applications

Waterloo, Canada7y exp
FordQueen's University

Frontend engineer on Ford EV infotainment HMIs building React + TypeScript workflows for Apple CarPlay/Android Auto device projection and high-stakes reset flows. Deep experience integrating a React HMI with legacy Qt expectations and C++ services via MQTT, using Redux Saga/state-machine patterns to manage complex async device and system operations with strong QA and performance optimization practices.

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Nikitha Kommidi - Mid-level AI/ML Engineer specializing in fraud detection, NLP, and MLOps

Mid-level AI/ML Engineer specializing in fraud detection, NLP, and MLOps

6y exp
CitibankUniversity of Texas at Arlington

Built a production real-time fraud detection and customer-support automation platform at Citibank, tackling extreme class imbalance (reported ~1:5000) and strict latency constraints. Combines hands-on MLOps (Airflow, Kubernetes, MLflow; Snowflake/Spark/S3 integrations; CI/CD model promotion) with cross-functional delivery to Risk & Compliance focused on interpretability and reducing false positives.

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Lachlan Hunt - Junior Game Programmer specializing in Unity and Unreal Engine

Lachlan Hunt

Screened

Junior Game Programmer specializing in Unity and Unreal Engine

2y exp
Electronic ArtsAberystwyth University

Solo developer who shipped an Android game (Master Caster) built around touch gesture recognition (P$ algorithm) and data-driven potion/ingredient systems using JSON/dictionaries. Has hands-on experience optimizing Unity projects for mobile constraints (framerate, heat/battery) using techniques directly applicable to VR, and is actively porting the game to VR in Unreal with a focus on accessibility and room/standing/seated play modes.

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JK

Jacob Kuder

Screened

Senior DevSecOps & Platform Leader specializing in cloud-native infrastructure

Williamston, SC18y exp
Booz Allen HamiltonSouthern Wesleyan University

Cloud-focused platform/infrastructure engineer centered on AWS and Kubernetes, with hands-on experience building EKS environments via Terraform/Terragrunt, bootstrapping clusters with Cilium and ArgoCD, and integrating persistent storage and backup tooling like EFS/EBS CSI and Velero. While no longer focused on on-prem or hybrid operations, they also bring prior VMware/Hyper-V and migration-to-AWS experience, making them strongest in modern cloud platform engineering roles.

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Priyanshi Sharma - Mid-level Software Engineer specializing in FinTech full-stack and backend systems in Parsippany, NJ

Mid-level Software Engineer specializing in FinTech full-stack and backend systems

Parsippany, NJ4y exp
ADPVirginia Tech

Built and productionized a GenAI prompt-engineering solution to retrieve prevailing wages based on job/location selections, emphasizing accuracy through stricter prompt templates and validation. Hands-on in real-time production debugging using Splunk (callback tracing, verbose logging, header inspection) and experienced running developer-facing demos/workshops that helped drive marketplace API adoption.

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Gnaneswar Markat - Mid-level Software Engineer specializing in cloud-native distributed systems in Charlotte, NC

Mid-level Software Engineer specializing in cloud-native distributed systems

Charlotte, NC4y exp
Bank of AmericaUniversity at Buffalo

Full-stack engineer with Bank of America experience building and owning a customer portfolio dashboard end-to-end, from requirements through launch and ongoing iteration. They combine React/Spring Boot/PostgreSQL implementation with strong performance tuning, real-time data handling, and UX improvements, and cite adoption by roughly 12,000 active internal users.

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AV

Alekhya Vytla

Screened

Senior Salesforce Developer specializing in integrations and Marketing Cloud

McLean, VA7y exp
Capital OneWilmington University

Salesforce developer with hands-on ownership of a complex Live Chat to Enhanced Chat migration, including LWC pre-chat forms, Apex/API integrations, Omni-Channel, Flow-based routing, and production rollout. Stands out for solving a difficult transcript-delivery requirement by designing an alternate conversation retrieval approach using Messaging Session, Apex callouts, and scheduled jobs.

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RM

Rahul Manne

Screened

Mid-level Software Engineer specializing in .NET, Azure, and enterprise platforms

New Brunswick, NJ4y exp
Johnson & JohnsonClark University

JavaScript/React/TypeScript engineer with hands-on open-source experience improving a hooks utility library—fixed a reported async race condition that reduced unexpected re-renders and added a debounced callback hook that became widely used. Brings a production-minded approach to performance and abstractions (APM/metrics-driven, DB/caching focus) with strong testing, documentation, and community support practices.

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