Vetted API Gateway Professionals

Pre-screened and vetted.

Tanisha Pradeep Bhola - Mid-level Software Development Engineer specializing in backend, cloud, and microservices in Dayton, Ohio

Mid-level Software Development Engineer specializing in backend, cloud, and microservices

Dayton, Ohio4y exp
University of DaytonUniversity of Dayton

Accenture engineer with hands-on experience taking an NLP sentiment analysis system from prototype to production, emphasizing robustness to noisy data, scalability, and observability (dashboards for latency/error/throughput). Also supports customer-facing teams with demos and PoCs, translating client requirements into secure, scalable architectures and troubleshooting LLM/agent workflows via logs and step-level traces.

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Sai Prudhivi - Mid Software Engineer specializing in full-stack microservices and cloud platforms in New York, NY

Sai Prudhivi

Screened

Mid Software Engineer specializing in full-stack microservices and cloud platforms

New York, NY4y exp
CGINorthern Arizona University

Backend-focused engineer with experience building high-volume policy management and enterprise pricing systems, including Django/FastAPI/Flask services, Kafka-based async workflows, and Prometheus/Grafana observability. While they have not yet shipped a customer-facing AI agent or production LLM integration, they bring strong cloud, API, reliability, and scalable system design fundamentals that translate well to responsible AI infrastructure work.

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SA

Sai Arvind

Screened

Mid-level Full-Stack Engineer specializing in AI-powered internal tools

Mesa, AZ4y exp
AccendoArizona State University

Backend/platform engineer with strong ownership of production systems, including a full Azure migration from a VM-based monolith to a containerized, event-driven microservices architecture. They combine cloud infrastructure, LLM/RAG optimization, and pragmatic stakeholder management, with measurable wins including 90% infra cost reduction, faster deployments, and significantly improved latency and token efficiency.

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HP

Hinal Pandya

Screened

Mid-level Full-Stack Engineer specializing in .NET, React, and FinTech platforms

Florida, USA8y exp
SS&C TechnologiesUniversity of North Florida

Software engineer currently building for a wealth management platform, with hands-on ownership across React/TypeScript front ends, Azure serverless backends, and SQL data systems. Stands out for turning hackweek concepts into production features, building observability infrastructure from scratch, and delivering measurable gains in latency, uptime, incident response, and client satisfaction.

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AK

Mid-level Software Engineer specializing in full-stack development and backend APIs

San Gabriel, CA4y exp
One CommunityCal State LA

Backend engineer who has designed and evolved high-traffic event/activity management systems using Node/Express and PostgreSQL, prioritizing scalability and reliability with a layered architecture. Has led zero-downtime refactors/migrations using parallel runs, dual writes, and rigorous validation/monitoring, and brings a security-focused API approach (JWT, RBAC/ABAC, rate limiting, DB-enforced tenant/RLS filters).

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JG

Mid-Level Full-Stack Software Engineer specializing in Healthcare IT and FinTech

USA7y exp
UnitedHealth GroupCalifornia State University, Los Angeles

Engineer with experience in regulated healthcare and financial systems, including a United Health healthcare service migration to AWS. Built documentation-as-code for CI/CD (Jenkins/Docker/Kubernetes/Terraform + GitHub Actions) that accelerated release cycles from 3 weeks to 4 days and tied security configuration (Spring Security/OAuth2/JWT) directly to HIPAA/GDPR compliance. Strong in observability-led incident response (ELK/Prometheus/Grafana) and performance tuning (PostgreSQL, async processing), citing MTTR reduction from 3 hours to 50 minutes and support for 250K+ concurrent users.

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AS

Junior AI/Software Engineer specializing in LLM agents, RAG, and full-stack ML systems

Austin, TX2y exp
Gauntlet AIVirginia Tech

Backend engineer who built an Emergency Alert System with Virginia Tech for the City of Alexandria, focusing on real-time ingestion, secure dashboards, and AI-assisted prioritization. Emphasizes high-stakes reliability with guardrails (hybrid rules+LLM, confidence-based fallbacks), scalable async processing, and defense-in-depth security (JWT/RBAC plus database row-level security).

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Likhith Kumar Yaramala - Junior Backend/Cloud Software Engineer specializing in microservices and DevOps in India

Junior Backend/Cloud Software Engineer specializing in microservices and DevOps

India2y exp
Brillquest TechnologiesFlorida State University

Cloud/DevOps-focused engineer with strong Linux production operations experience, deploying microservices to AWS on Docker/Kubernetes. Has built and operated secure CI/CD (GitHub Actions/Jenkins) and Terraform IaC workflows with approvals, remote state, and drift detection, and has hands-on incident recovery experience in containerized environments; limited direct IBM Power/AIX/PowerHA exposure.

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Muhammad Waqas Ashraf - Senior Full-Stack Engineer specializing in AI, cloud infrastructure, and DevOps in Lahore, Pakistan

Senior Full-Stack Engineer specializing in AI, cloud infrastructure, and DevOps

Lahore, Pakistan7y exp
Devline SolutionsNational University of Sciences and Technology

Frontend engineer focused on building and scaling data-heavy, real-time dashboards with React/Next.js/TypeScript. Emphasizes performance and reliability at scale through modular architecture, centralized state (Zustand/Redux), strict API contracts, automated testing, and production monitoring (Grafana/CloudWatch), and has experience shipping quickly with feature-flagged rollouts and rapid iteration from user feedback.

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Ravinder Reddy Mamidi - Mid-Level Full-Stack Engineer specializing in Java Spring Boot and React in Remote, US

Mid-Level Full-Stack Engineer specializing in Java Spring Boot and React

Remote, US3y exp
SynchronyGovernors State University

Full-stack engineer who built a cloud-native customer servicing platform at Synchrony using React 18/Next.js (SSR) and Spring Boot microservices on AWS. Experienced with high-volume, event-driven systems (Lambda/SNS/SQS) and strong distributed-systems rigor around data integrity (idempotency, DynamoDB conditional writes) plus production-grade security/observability (JWT/OAuth2, WAF, Actuator, Splunk).

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Ashritha G - Mid-Level Software Development Engineer specializing in distributed systems and cloud microservices in USA

Ashritha G

Screened

Mid-Level Software Development Engineer specializing in distributed systems and cloud microservices

USA3y exp
Outlier AIUniversity of Massachusetts Boston

Software engineer with enterprise, customer-facing delivery experience across Outlier AI and Wipro—builds and productionizes workflow and integration solutions with a strong focus on real-world performance and reliability. Delivered a Firestore/Redis-backed real-time pipeline that cut page load times by 20% and held consistent performance across 10,000+ sessions, and has hands-on production incident experience stabilizing high-traffic microservices via caching, indexing, and safe canary deployments.

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MM

Manisha M

Screened

Senior AI/ML Engineer specializing in Generative AI and MLOps

Hollywood, FL7y exp
First Commonwealth BankJawaharlal Nehru Technological University

ML engineer with hands-on experience building banking AI systems end-to-end, including a customer-targeting model that improved campaign response rates by about 10%. Also shipped a RAG-based banking FAQ/support feature with safety guardrails and production optimizations around retrieval quality, latency, and cost, plus reusable Python services that reduced duplicate work for other engineers.

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Raghava Sammeta - Mid-level Full-Stack Engineer specializing in cloud, microservices, and AI systems in Atlanta, GA

Mid-level Full-Stack Engineer specializing in cloud, microservices, and AI systems

Atlanta, GA4y exp
Kennesaw State UniversityKennesaw State University

Built and owned Destination Together, a collaborative travel platform, end-to-end across frontend, backend, data, infrastructure, and payments. Stands out for combining React/Node microservices, PostgreSQL concurrency design, real-time messaging, Dockerized deployment, and Gemini-powered route-aware travel suggestions in a single product.

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UD

Mid-Level Software Engineer specializing in full-stack, cloud, and data platforms

Remote, NY4y exp
Global Mobile Software LLCRochester Institute of Technology

Backend/full-stack engineer who has owned production TypeScript systems in both fintech-style transaction/rewards flows and HIPAA-regulated healthcare platforms. Deep focus on correctness and reliability (idempotency, retries/DLQs, reconciliation, observability) plus strong infra automation (Docker/Terraform/CI-CD) and measurable performance wins (40% query improvement, 90% test coverage).

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Sangat Shah - Mid-Level Full-Stack Engineer specializing in AWS serverless and React/Node.js in Los Angeles, CA

Sangat Shah

Screened

Mid-Level Full-Stack Engineer specializing in AWS serverless and React/Node.js

Los Angeles, CA5y exp
Screen Engine/ASICalifornia State University, Northridge

Backend engineer who built and evolved a serverless AWS platform for large-scale live screening events with real-time chat/feedback and streaming (API Gateway/Lambda/DynamoDB/WebSockets/IVS, IaC via Pulumi). Led production refactors and phased migrations using feature flags and dual-write strategies, and has hands-on experience implementing JWT auth, RBAC, and database-enforced row-level security for multi-tenant systems.

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Srinivasan Gomadam Ramesh - Mid-level AI/Data Engineer specializing in agentic AI and data platforms in Redmond, WA

Mid-level AI/Data Engineer specializing in agentic AI and data platforms

Redmond, WA7y exp
Quadrant TechnologiesUniversity of Texas at Dallas

AI/LLM engineer who built a production resume-parsing and candidate-matching platform at Quadrant Technologies, combining agentic LangChain workflows, VLM-based document template extraction (~85% accuracy), and a hybrid RAG backend for resume-to-JD search. Notably integrated automated LLM evals and metric-based CI/CD quality gates to catch silent prompt/model regressions, and led a 3-person team across frontend/backend/testing.

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Jyothsna V - Mid-level Backend Software Engineer specializing in Python/FastAPI and cloud-native microservices in USA

Jyothsna V

Screened

Mid-level Backend Software Engineer specializing in Python/FastAPI and cloud-native microservices

USA4y exp
Coke One North AmericaWestern Illinois University

Backend engineer who evolved Coca-Cola bottlers' Trade Promotion Optimization platform at Coke One North America, building domain-focused microservices in Node.js and Python (Flask/FastAPI) with PostgreSQL. Experienced in multi-tenant security (OAuth2/JWT, RBAC, row-level scoping by bottler/region), API contract/versioning discipline, and Azure DevOps-driven incremental rollouts with strong observability.

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Mrudula Devaguptapu - Mid-Level Software/AI Engineer specializing in backend systems, data pipelines, and RAG automation in United States

Mid-Level Software/AI Engineer specializing in backend systems, data pipelines, and RAG automation

United States3y exp
360DMMC ConsultingSaint Louis University

Backend engineer with experience modernizing high-traffic subscription and payment systems (TCS) by moving to event-driven Spring Boot microservices with Kafka, adding idempotency/state management to eliminate duplicate processing. Built and scaled FastAPI services for AI automation workflows (360DMMC) with versioned contracts, JWT security, and strong observability, and has led live refactors using feature flags, parallel runs, and data reconciliation.

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Keeravani Chekuri - Mid-level AI/ML Engineer specializing in LLM systems and MLOps in Boston, MA

Mid-level AI/ML Engineer specializing in LLM systems and MLOps

Boston, MA3y exp
Nexoraschool.aiUniversity of Massachusetts

Built and deployed an AI tutoring assistant end-to-end at Nexora School, spanning discovery with school districts, multi-agent LangGraph/RAG architecture, AWS Bedrock migration, and post-launch stabilization. Stands out for combining hands-on LLM systems engineering with strong educator-facing trust building, FERPA-driven architecture decisions, and disciplined production practices around evals, logging, and messy document ingestion.

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DH

Dan Hartley

Screened

Senior Software Engineer specializing in full-stack platforms and AI-powered systems

Arlington, VA9y exp
HatchWorksConcordia University Irvine

Full-stack engineer with startup SaaS experience building workflow automation and case management platforms for business operations teams. Strongest in Python, TypeScript/React, and PostgreSQL, with hands-on ownership from backend architecture and APIs to production deployment on AWS; notably helped reduce manual processing and improve customer turnaround times in a high-ambiguity scaling environment.

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RH

Robert Hodgen

Screened

Principal Software Engineer specializing in cloud-native distributed systems

Remote, USA11y exp
HH SterlingFlorida State University

Former startup co-founder/CTO who built a student-opportunity platform from scratch and engineered a real-time, Google-like search experience despite database limitations. Also brings deep modernization experience, including migrating legacy enterprise systems to containerized microservices and delivering major search-performance gains on 20+ year-old databases using CDC and OpenSearch.

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VM

Vinay Machha

Screened

Junior Full-Stack Developer specializing in React, AI, and cloud applications

Hyderabad, India2y exp
SLS SolutionsArizona State University

Frontend engineer with hands-on experience building a real-time financial market dashboard at FinSight AI, handling 30+ live data streams with React, TypeScript, WebSockets, and performance-focused rendering patterns. Stands out for measurable production impact, including a 70% reduction in unnecessary re-renders, plus strong real-time visualization and UX optimization experience.

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AK

Junior Full-Stack Developer specializing in FinTech

India3y exp
AssurantUniversity of North Texas

Backend engineer focused on real-time, event-driven systems (Java microservices) handling high-frequency data with low-latency and reliability requirements. Strong in Kafka-based asynchronous architectures, Redis caching, JVM/query tuning, and scalable deployments on Docker/Kubernetes with Jenkins CI/CD; no direct ROS/robotics experience but has closely related distributed communication patterns.

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