Vetted CSS Professionals

Pre-screened and vetted.

MJ

Manav Joshi

Screened

Mid-Level Software Engineer specializing in FinTech and cloud microservices

Jersey City, NJ4y exp
AIGPace University

Backend/DevOps-leaning engineer with trading/financial systems experience (AIG), focused on reliability: built Python automated test suites to ~95% coverage and integrated them into CI/CD. Has hands-on Kubernetes microservices deployment with GitOps (ArgoCD), plus experience supporting cloud-to-on-prem migrations and building real-time streaming pipelines resilient to spikes and data loss.

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AP

Mid-Level Software Engineer specializing in FinTech and cloud microservices

Remote, USA3y exp
AssurantMidwestern State University

Backend/platform engineer with hands-on ownership of high-stakes data migrations in regulated domains (core banking and insurance), including a Python ETL framework that migrated 100,000+ customer records within a cutover window. Strong DevOps/GitOps background deploying Python and Spring Boot microservices to Kubernetes with Helm and ArgoCD, plus real-time Kafka transaction streaming for fraud/analytics with reliability patterns (DLQs, retries, partition tuning).

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NL

Ninglan Lei

Screened

Intern Full-Stack/Backend Software Engineer specializing in test automation and web systems

Charlottesville, VA1y exp
Compassion InternationalUniversity of Virginia

Backend/ML engineer who built an end-to-end greenwashing detection system for corporate ESG reports: Python preprocessing pipeline, logistic regression + fine-tuned DistilBERT models, and a Dockerized FastAPI inference service optimized for latency. Internship experience maintaining GitLab CI/CD for TypeScript services (Jest/Playwright), improving pipeline stability and test determinism; familiar with Kubernetes/GitOps concepts and AWS CLI/SSO.

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LH

Liam Huynh

Screened

Junior Software Engineer specializing in backend and full-stack development

San Francisco, CA2y exp
HandshakeUniversity of Missouri-Kansas City

Backend Python engineer who owned an AI-driven healthcare staffing matching service, rebuilding the model inference/data pipeline to eliminate blocking bottlenecks and cutting API latency by ~33%. Experienced running Python services on Kubernetes with GitOps/ArgoCD, and has executed a cloud-to-on-prem rollout under tight resource and tooling constraints while also building event-driven streaming updates via a message broker.

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WW

William Wung

Screened

Mid-Level Full-Stack Software Engineer specializing in Odoo ERP and integrations

Buffalo, NY3y exp
OdooGeorge Mason University

Customer-facing software engineer who builds configurable, extensible solutions under vague requirements (e.g., a bin-packing-style resource allocation feature) and iterates via frequent sandbox deployments and customer testing. Has hands-on experience integrating multiple shipping APIs, navigating outdated/unclear documentation, and resolving production issues quickly through log-driven debugging and safe rollback procedures.

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TN

Mid-level Data Scientist & AI/ML Engineer specializing in GenAI and cloud ML

Harrison, NJ5y exp
State FarmMonroe University

GenAI/LLM engineer who recently built a production compliance assistant at State Farm for KYC/AML and regulatory teams, using AWS Bedrock + LangChain with Textract/Lambda pipelines to extract fields, tag risk, and summarize long documents. Implemented RAG, strict structured outputs, and human-in-the-loop guardrails, and reports automating ~80% of documentation work while reducing review time by ~40%.

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SK

Senior Software Engineer specializing in Android platforms, developer experience, and workflow automation

San Francisco, CA10y exp
Kaiser PermanenteDarmstadt University of Applied Sciences

AppSec-focused engineer from Kaiser Permanente who advises on authentication/API security, performs lightweight threat modeling, and integrates SAST + dependency scanning into CI/CD while actively reducing false positives to improve release speed. Demonstrated strong troubleshooting using logs/traces/metrics (e.g., diagnosing auth failures caused by clock skew) and communicates security tradeoffs differently for engineering vs product stakeholders.

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MA

Maaz Ahmed

Screened

Mid-Level Software Engineer specializing in backend and distributed systems

Parsippany, NJ3y exp
ADPArizona State University

Backend-leaning full-stack engineer from ADP’s Global View team who owned major backend components of an enterprise payroll dashboard, including a fault-tolerant multi-step payroll processing workflow and error visibility features. Strong in Java/Spring Boot + PostgreSQL schema design and Redis caching, with additional production experience in Python services (JWT, testing, SonarQube) and AWS deployments via Terraform/Jenkins with autoscaling.

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VJ

Mid-level Full-Stack Java Developer specializing in FinTech and real-time systems

TX, USA5y exp
State StreetUniversity of North Texas

Backend/full-stack engineer with finance domain experience (State Street) who built and shipped a Kafka-based real-time trade validation system handling 50k+ trades/sec and cut latency by 42%. Also delivered real-time React dashboards (Redux Toolkit/React Query/WebSockets) and operates AWS EKS microservices with GitOps/ArgoCD; has built a FastAPI + LangChain/GPT-4 intelligent document processing service with JWT/RBAC.

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JF

Senior Creative Designer specializing in brand identity, digital marketing, and web design

Sanatoga, PA14y exp
Design and Media LLCUniversidad Dr. Rafael Belloso Chacín

Senior designer with experience delivering premium, performance-oriented marketing creative for brands including BFGoodrich, Modelo, Corona, Coway, and HydraFacial. Builds scalable Figma design systems and modular template frameworks for high-volume multi-channel output (web, email, paid, decks, events), and also produces short-form CapCut videos optimized for major social platforms. Has worked fully remote since 2017 and has executed full Spanish-language adaptations of campaigns to expand audience reach.

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AC

Anuja Chivate

Screened

Mid-level Software Test/Quality Engineer specializing in automation and server platform validation

Fremont, CA5y exp
Quanta ComputerSan Diego State University

QA/automation engineer with hands-on experience spanning web UI automation (Cypress/JavaScript) and hardware/firmware validation (BIOS/BMC, FPGA). Has delivered high-impact reliability and throughput improvements in server/HPC environments, including automation that enabled booting across ~250 servers and requirement clarification that unblocked firmware work for ~550 servers.

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SB

Sai Bollina

Screened

Mid-level Full-Stack Engineer specializing in FinTech and web applications

Dallas, Texas6y exp
Freddie MacOklahoma Christian University

Software engineer with experience at Freddie Mac shipping a production workflow tracking and daily summary dashboard that replaced spreadsheet/email-based operational processes. Worked across frontend (React/JavaScript), backend (Java), Oracle relational data, and CI/CD, with emphasis on stakeholder collaboration and post-deploy testing/monitoring/performance tuning.

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BD

Blake Davis

Screened

Engineering leader and architect specializing in scalable cloud and real-time data systems

San Luis Obispo, CA18y exp
Inspired Flight TechnologiesCal Poly San Luis Obispo

Led the creation of a software department at a hardware startup and designed/built a platform to manage fleets of hexacopter drones, including tackling the challenge of streaming high volumes of data from many IoT edge devices. Prefers greenfield work with high autonomy, combining hands-on architecture with structured planning, cost estimation, and risk-driven execution.

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MN

Mid-Level Software Developer specializing in full-stack, cloud-native microservices and AI integrations

Remote, USA4y exp
Ally FinancialUniversity of North Texas

Backend/AI engineer who has built production Spring Boot APIs on AWS (JWT auth, Redis/MySQL) and solved a real-world silent data integrity issue by implementing idempotency keys plus DB constraints/transactions. Also shipped an LLM-based document Q&A feature using a RAG pipeline with evaluation + human review, and designed multi-step agent workflows with verification, retries, and escalation guardrails.

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DS

Danaid Sinani

Screened

Intern Machine Learning & Full-Stack Engineer specializing in OCR and AI document pipelines

Boston, MA2y exp
Massachusetts Registry of DeedsBoston University

Full-stack product engineer who has shipped polished customer-facing experiences across iOS (SwiftUI), web (Next.js/React/TypeScript), and Python backends. Built systems ranging from an escalating smart-reminder engine to a sub-200ms search UI over 6M+ court records, and owned AWS production operations including resolving a real DB-connection-exhaustion incident with scaling and architectural hardening.

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HS

Mid-level Full-Stack Engineer specializing in cloud data platforms and LLM-powered apps

New York City, NY4y exp
CenteneUniversity of Maryland, Baltimore County

Full-stack engineer with healthcare and finance experience who has owned end-to-end production systems across Azure and AWS. Built a real-time clinical dashboard at Centene (React + FastAPI + Azure Event Hubs) that cut data latency from ~12 minutes to under 1 minute and was associated with a 30% reduction in intervention delays. Also delivered MVPs in high-ambiguity environments at Accenture during monolith-to-microservices migration, improving uptime and maintainability with measurable results.

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AG

Anusha Gali

Screened

Mid-level QA Automation Engineer specializing in UI/API test automation and CI/CD

Boston, MA4y exp
One CommunityNortheastern University

QA automation engineer who owned an end-to-end test suite for a financial payments application, building cross-layer E2E coverage (UI/API/DB) and integrating it into CI with smoke-on-commit and nightly regression. Caught high-impact issues including duplicate payments caused by missing idempotency in backend retry logic and an RBAC authorization gap, and has hands-on experience stabilizing flaky Cypress tests via network-call synchronization.

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VS

Vinay shetty

Screened

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

4y exp
Huntington BankUniversity of North Texas

Full-stack engineer with ~3.5 years of Java Spring Boot and React experience who built an end-to-end banking transaction platform using microservices, Kafka streaming, AWS RDS, and Dockerized CI/CD. Demonstrates strong performance and reliability engineering (async processing, DLQ/retries, idempotency, caching) plus secure cloud deployment practices; has also worked across banking, healthcare, and insurance domains.

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DP

Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise MLOps

Baltimore, MD4y exp
CVS HealthUniversity of Maryland, Baltimore County

Backend engineer who built an AI-driven "Smart Feedback Analyzer" API (Flask → FastAPI) that processes user feedback with NLP (Hugging Face + OpenAI) and returns structured insights. Demonstrates strong production-minded architecture: stateless services, Cloud Run + Docker deployment, Redis/Celery background processing, and Postgres/SQLAlchemy performance tuning (EXPLAIN ANALYZE, indexing, N+1 fixes), plus multi-tenant data isolation via JWT/API-key derived tenant IDs.

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PK

PRAJU KUMAR

Screened

Mid-level Full-Stack Developer specializing in Java/Spring microservices and React/Angular

USA6y exp
Brainvire InfotechAuburn University

Full-stack engineer with hands-on production experience building real-time customer-facing features (order tracking + push notifications) across React/React Native and Node/Spring Boot with Postgres/MySQL. Demonstrates strong reliability patterns (transactional outbox, background workers, idempotent webhook ingestion) and has deployed/operated systems on AWS (ECS/Fargate/ALB, CloudWatch, CodePipeline) with structured observability and environment separation.

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MG

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

Chesterfield, MO5y exp
Reinsurance Group of AmericaUniversity of Missouri-Kansas City

Full-stack engineer with hands-on ownership of real-time, Kafka-driven systems in production, spanning React/TypeScript frontends, Spring Boot/Node backends, and AWS (EKS/ECS/EC2) operations. Notable for modernizing legacy batch workflows into event-driven architectures with measurable impact (35% faster risk calculations, 30% better accuracy) and scaling to 2x volume using reliability patterns like idempotency, retries, and staged rollouts.

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Ramcharan SreenivasaReddy - Mid-level Full-Stack Developer specializing in FinTech platforms and cloud-native microservices in Texas, USA

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

Texas, USA6y exp
Morgan StanleyUniversity of Central Missouri

Backend/platform-focused Python engineer who has owned FastAPI services with Postgres/SQLAlchemy and production-grade auth (JWT + RBAC). Experienced deploying and operating microservices on Kubernetes with GitOps (ArgoCD), HPA tuning, and Prometheus/Grafana monitoring, plus hands-on cloud-to-on-prem migrations and Kafka-based real-time streaming pipelines.

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Fatemeh Taghvaei - Junior AI/ML Engineer and Instructor specializing in deep learning, computer vision, and NLP in Chicago, IL

Junior AI/ML Engineer and Instructor specializing in deep learning, computer vision, and NLP

Chicago, IL2y exp
National Louis UniversityUniversity of Illinois Chicago

Computer-vision practitioner and educator who built a real-time license plate recognition system (OpenCV/Python + KNN) optimized to run on a Raspberry Pi with camera integration. Also designs hands-on deep learning coursework, incorporating recent transformer-based vision research (Vision Transformers) into practical labs on real datasets.

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Arunkumar Gangula - Senior Full-Stack Software Engineer specializing in distributed systems and cloud microservices in Tempe, Arizona

Senior Full-Stack Software Engineer specializing in distributed systems and cloud microservices

Tempe, Arizona11y exp
Arizona State UniversityArizona State University

Product-minded full-stack engineer from CouponDunia who owned end-to-end notification and recommendation services at million-user scale. Built internal admin/analytics and operations dashboards in React/TypeScript with typed contracts and scalable Node.js REST APIs, and has deep microservices experience with Kafka/RabbitMQ (idempotency, retries/DLQs, partitioning, consumer tuning, and observability).

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