Vetted REST Professionals

Pre-screened and vetted.

RY

Senior Machine Learning Engineer specializing in LLMs, computer vision, and cloud AI

Tampa, FL9y exp
Aavishkar.aiUniversity of South Florida

Healthcare-focused ML/AI engineer who has built clinical note summarization and medical image annotation solutions using LLMs, RAG, and multimodal models. They combine experimentation across major model providers with practical production concerns like monitoring, drift detection, and latency/cost tradeoffs, and also earned 2nd place in a Google hackathon for a medical AI assistant.

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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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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

Althaf Shaik

Screened

Senior Software Engineer specializing in cloud-scale distributed systems and data platforms

Hyderabad, India4y exp
DHI ADT SolutionsNJIT

LLM/RAG-focused engineer who repeatedly takes agentic workflows from impressive demos to dependable production using rigorous evals, SLOs, and deep observability. Has led high-impact incident mitigation (22-minute MTTR during a major sale) and developer enablement workshops, and partnered with sales to close a $410k ARR enterprise deal with a tailored RAG pilot (FastAPI/pgvector/Okta/InfoSec-ready).

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John Kalyango - Senior Full-Stack Software Engineer specializing in geospatial and mobile data collection in Germany

John Kalyango

Screened

Senior Full-Stack Software Engineer specializing in geospatial and mobile data collection

Germany9y exp
TREEOMakerere University

Frontend engineer who led end-to-end development of a React-based carbon credits data collection and analysis tool, focusing on scalable architecture and performance (code splitting, SWR caching, memoization, Lighthouse monitoring). Experienced building complex route-driven TypeScript wizards with Redux/Rematch state persistence, and refactoring legacy monolithic UI into reusable, tested, documented components while shipping deadline-driven features using feature flags and tight QA collaboration.

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Renaud THIERRY - Senior Unity 3D Developer specializing in mobile games and AR applications in Grenoble, France

Senior Unity 3D Developer specializing in mobile games and AR applications

Grenoble, France11y exp
WavelandUniversity of Nice Sophia Antipolis

Unity developer who improved the feel and usability of a text-heavy game by implementing satisfying UI scrolling and adding keyboard-based navigation, earning positive feedback from both the dev team and users. Also has professional client/server experience (REST) and contributed to a Unity industrial application for AI-managed smart-home/domotics control, leveraging Agile/Jira and AI coding assistants to boost delivery.

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SA

Mid-level Software Engineer specializing in cloud-native microservices and AI/ML

4y exp
HumanaUniversity of Central Missouri

Full-stack engineer with healthcare/AI platform experience (Humana), owning an end-to-end high-risk patient prediction feature from React dashboards through FastAPI/TensorFlow real-time inference to AWS EKS operations. Emphasizes production reliability and contract-driven APIs (OpenAPI + generated TS types), plus strong data integration patterns (Kafka, idempotency, DLQs, backfills) in regulated, high-traffic environments.

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KD

Kunal Doshi

Screened

Senior Full-Stack Software Engineer specializing in cloud-native platforms and AI/NLP

Los Angeles, CA4y exp
AIRKITCHENZCalifornia State University, Fullerton

Full-stack engineer at an early-stage startup (AirKitchenz) who owned the hourly booking/availability and first paid booking flow end-to-end—React/TypeScript frontend, Node backend, Postgres modeling, and Stripe payments/webhooks. Experienced operating production on AWS (EC2/Elastic Beanstalk, Docker, RDS, CloudWatch) and building reliable, idempotent integrations while iterating quickly in a pre-PMF environment through direct host/renter feedback.

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NH

Senior Full-Stack Developer specializing in React, Node.js, and AWS

Los Angeles, CA9y exp
SmartiStackUniversity of South Florida

Backend/data engineer with hands-on production experience across Python/Flask microservices and AWS serverless/data platforms (Lambda, DynamoDB, S3, Glue/PySpark). Demonstrated strong reliability and operations mindset (JWT/RBAC, retries/timeouts/circuit breakers, CloudWatch/SNS alerting) and measurable performance wins (SQL report runtime cut from 10 minutes to 30 seconds). Seeking ~$150k base and cannot travel for onsite meetings for the next 5–6 months due to family medical constraints.

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Anudeep Reddy Veerla - Mid-Level Software Engineer specializing in cloud-native microservices in Boston, MA

Mid-Level Software Engineer specializing in cloud-native microservices

Boston, MA3y exp
Tech MahindraUniversity of the Potomac

Built and shipped both a solo real-time multiplayer Spades game (TypeScript monorepo with shared client/server engine) and a production internal LLM-powered document Q&A tool for a SaaS company. Demonstrates strong RAG pipeline design (Pinecone + embeddings + reranking), rigorous eval/regression practices, and pragmatic data ingestion/observability work across Confluence, Notion, and messy PDFs/OCR—backed by clear metric improvements (P@1 61%→78%, escalations 40%→22%).

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SV

Mid-level Full-Stack Java Developer specializing in Spring microservices and AWS

Glenwood Springs, CO3y exp
Alpine BankColorado State University

Software engineer (Alpine Bank) focused on modernizing high-traffic customer-facing systems with React/TypeScript frontends and Spring Boot microservices. Has hands-on experience stabilizing and scaling event-driven architectures with Kafka (idempotent consumers, partitioning, retry queues) and building internal observability dashboards that materially sped up post-deployment verification and improved release confidence.

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HS

Hazim Shaikh

Screened

Mid-Level Software Engineer specializing in AWS microservices and distributed systems

Remote, CA3y exp
Cloud Data TechnologySacramento State

CloudData engineer who productionized an LLM assistant for a warehouse/logistics customer by wrapping it as a versioned, containerized API with guardrails, deterministic post-processing, and full observability. Experienced diagnosing real-time RAG/agentic incidents (latency spikes and confident-wrong answers) using trace-based isolation, replay in staging, retrieval tuning, and canary releases. Regularly runs technical demos/workshops and partners with sales on security/IAM, SLAs, and pilot rollouts to drive adoption.

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YK

Senior Customer Support & Applications Engineer specializing in Linux, cloud platforms, and reliability

San Jose, CA9y exp
ThinkDigitsWatumull Institute of Information and Engineering Technology

Cloud-focused application security practitioner with hands-on AWS and Kubernetes experience, including securing a manufacturing monitoring platform (API auth, least-privilege IAM, CI/CD security checks) and troubleshooting a production data-ingestion outage caused by an overly restrictive IAM change. Experienced in implementing cloud-native security tooling (IAM Access Analyzer, Inspector, CloudWatch) and deploying monitoring/security agents via Kubernetes sidecars with Helm, Prometheus/Grafana, and Jenkins-driven CI/CD.

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SV

Senior Customer Success and Engineering Support specialist in enterprise software and monitoring

Berthoud, CO24y exp
CollibraCalifornia State University, Long Beach

Senior engineer with experience at Micro Focus/HPE (now OpenText) supporting enterprise customers on monitoring platform deployments, upgrades, and ongoing product use. Brings hands-on expertise in operations agents, agentless integrations, security-related upgrade troubleshooting, and cross-functional escalation with engineering to keep customer environments stable and successful.

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YM

Yang MA

Screened

Junior Backend Software Engineer specializing in search, data systems, and LLM applications

New York, NY3y exp
Bevel HealthUniversity of Pittsburgh

Built and deployed a full-stack web product for international football fans visiting the U.S. for FIFA, owning everything from crawling and aggregating event data to frontend, backend, deployment, and maintenance. Particularly strong in data-heavy product work, using LLMs, Google Maps API, and SQL/RPC patterns to improve data quality, speed implementation, and support a polished user experience.

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VM

Vaibhavi More

Screened

Senior Full-Stack Engineer specializing in FinTech

Mumbai, India8y exp
Robosoft TechnologiesUniversity of Mumbai

Software candidate with hands-on experience using AI as a productivity multiplier across architecture, refactoring, testing, and code review. Has worked with LangChain-based multi-agent workflows to decompose complex engineering tasks for parallel execution, showing practical familiarity with emerging AI-native development patterns.

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PY

Puruhuthika y

Screened

Mid-level Software Engineer specializing in backend engineering and applied AI workflows

Austin, TX4y exp
Western UnionNorthwest Missouri State University

Backend engineer with fintech/transaction-processing experience who built and optimized a Spring Boot + PostgreSQL + AWS service handling money transactions, resolving peak-traffic latency via query/index and connection pool tuning. Shipped an LLM-driven risk-flagging workflow integrated via a FastAPI Python service, owning prompt design, validation guardrails, monitoring, and human-in-the-loop escalation to reduce false positives and improve precision over time.

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Pavan Kalyan Reddy Gunamareddy - Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare in TX, USA

Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare

TX, USA4y exp
NexBankEast Texas A&M University

Backend/platform engineer in fintech/payments (NexaBank/NextBank/Nexon Bank) who has built Kafka-orchestrated Java/Spring Boot microservices around a PostgreSQL double-entry ledger. Led production-critical reliability work preventing duplicate payment postings via idempotency and offset sequencing fixes, and shipped real-time ML fraud scoring (Python model API + Redis caching) with rigorous evaluation/monitoring (Prometheus) and workflow automation for dispute resolution.

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BD

Brian Daddino

Screened

Director-level software engineering leader specializing in IoT, cloud architecture, and enterprise systems

Wake Forest, NC15y exp
IntelliShiftFarmingdale State College

Senior engineering leader who says he spent the last 7 years implementing rather than planning, including building a one-person engineering function into a fully operational department with standards, KPIs, Scrum, QA, and automation. He also designed the full technical ecosystem across application, backend, enterprise architecture, ETL, IoT, and CI/CD, and has additional exposure to VC-backed environments and M&A integration leadership.

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Sanmith Kurian - Mid-level Software Engineer specializing in full-stack AI and FinTech systems in Remote, US

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

Remote, US4y exp
FinInsights.aiUniversity of California

Candidate applies a design-first approach to AI-assisted software development, using multi-agent setups across frontend, backend, and testing. They described building a multi-agent resume tailoring system and leading development of an AI-powered assessment interface for generating descriptive and MCQ questions, with architectural decisions including Redux for complex state handling.

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Poojitha Rampelli - Mid-Level Full-Stack Software Engineer specializing in cloud-native FinTech and AI systems in Westhaven, CT

Mid-Level Full-Stack Software Engineer specializing in cloud-native FinTech and AI systems

Westhaven, CT4y exp
PNCUniversity of Bridgeport
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Misty Raffety - Senior QA Engineer specializing in test automation and healthcare data quality in Lincoln, NE

Senior QA Engineer specializing in test automation and healthcare data quality

Lincoln, NE16y exp
University Plaza Dental GroupTripleTen
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Akhila Bollepalli - Mid-level Full-Stack Java Developer specializing in cloud-native microservices in Charlotte, NC

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

Charlotte, NC4y exp
Al Labs WebUniversity of Central Missouri
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