Vetted Role-Based Access Control Professionals

Pre-screened and vetted.

Niranjaan Munuswamy - Mid-level Full-Stack Software Engineer specializing in cloud and data engineering in Chicago, IL

Mid-level Full-Stack Software Engineer specializing in cloud and data engineering

Chicago, IL4y exp
CignaIllinois Institute of Technology

Backend engineer with experience at Cigna evolving REST API services backed by PostgreSQL, emphasizing reliability/correctness, scalability, and observability. Has hands-on production experience with FastAPI (contract-first design, Pydantic schemas), performance tuning (indexes, caching), and secure auth patterns (OAuth/JWT, RBAC, row-level security via Supabase), plus low-risk incremental rollouts using feature flags and dual writes.

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TS

Trisha Shah

Screened

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

null5y exp
eSentireUniversity of Washington

Full-stack and AI product engineer with strong AWS/Snowflake experience who built an internal feature flag platform and helped migrate a cybersecurity insights product into a multi-agent AI chat interface. They report production scale of 1M+ embeddings and 50k+ monthly queries, with outcomes including an 80% reduction in analyst work and dashboard generation in 7 minutes; the work was also featured by Claude and AWS.

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SS

Shivam Soni

Screened

Mid-Level Full-Stack Software Developer specializing in cloud-native microservices and AI/ML

Remote, USA3y exp
Fidelity InvestmentsArizona State University

Backend engineer who optimized an AI-driven portfolio analytics/insights platform at Fidelity, addressing latency and traffic growth by moving services toward microservices, improving service communication, and tuning API/DB performance. Experienced scaling Python/FastAPI services with Docker + Kubernetes autoscaling, and strengthening security/privacy for sensitive client portfolio data used in LLM-based reporting.

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AB

Aryan Bhide

Screened

Junior Software Engineer specializing in LLM agentic workflows and full-stack systems

Santa Cruz, CA3y exp
PaystandUC Santa Cruz

Paystand engineer/intern who built a multi-agent LLM orchestration system (with logging/feedback loops) that became part of the team workflow and reportedly cut development time ~70%. Partnered with sales/product on enterprise demos and implemented a dynamic RBAC system that helped drive adoption of an intern-built product to multiple enterprise clients, contributing to seven-figure ARR. Also founded and pitched a student-entrepreneur business management/payments project (HustleHub) and won a university startup competition.

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SR

Mid-level Full-Stack Java Developer specializing in cloud microservices and enterprise apps

Minneapolis, MN4y exp
UnitedHealth GroupUniversity of Memphis

Software engineer/product owner experience at UnitedHealth Group owning a high-volume claims eligibility console end-to-end (React/TypeScript + Spring Boot microservices) processing 1M+ transactions/day. Strong in event-driven architecture (Kafka/RabbitMQ), HIPAA-aligned security (OAuth/JWT/RBAC), and building internal observability tools that improve incident triage and production reliability.

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AR

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

Jersey City, NJ4y exp
VerizonUniversity of Central Missouri

Full-stack engineer with production experience building Java 17 Spring Boot microservices for high-traffic systems at Verizon and on a JPMC payments platform (funds transfer/validation using ISO 20022), plus modern React/TypeScript dashboards for ops and analytics. Demonstrates strong scalability and reliability chops (Kafka event-driven pipelines, Redis caching, clustering, BullMQ background jobs) and has built real-time apps end-to-end with secure JWT refresh-token auth and Socket.io performance tuning.

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SS

Junior Software Engineer specializing in AI agents and full-stack cloud systems

Irvine, CA1y exp
OrangePeopleUC Irvine

Backend-focused engineer who has built and refactored FastAPI services backed by MongoDB, emphasizing async concurrency, stateless design for horizontal scaling, and performance tuning via indexing and request-level timing. Has implemented production authentication patterns (JWT, SSO, OAuth2 + PKCE) and user/org-scoped access controls, and improved reliability of LLM document-extraction APIs with fallback mechanisms.

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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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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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SAI NAGINI VALLURUPALLI - Junior Full-Stack Java Developer specializing in Spring Boot microservices and React in Frisco, TX

Junior Full-Stack Java Developer specializing in Spring Boot microservices and React

Frisco, TX3y exp
Silicon LabsUniversity of North Carolina at Charlotte

Full-stack Java/Spring Boot + React engineer (3–4 years) who built an end-to-end smart employee management system and a data analytics dashboard handling millions of daily transactional records. Emphasizes scalable layered REST API design, secure microservices practices (Spring Security, JWT/OAuth2), and performant React state/data patterns (Redux Toolkit + RTK Query) for large datasets and role-based views.

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Manikanta Kopparapu - Mid-Level Full-Stack Software Engineer specializing in cloud-native web applications in TX, USA

Mid-Level Full-Stack Software Engineer specializing in cloud-native web applications

TX, USA4y exp
Community Dreams FoundationUniversity of North Texas

Full-stack engineer who has owned customer-facing and internal web portals end-to-end (API, database, React UI, and deployment). Experienced designing multi-service architectures with Node/Express and Java/Spring Boot plus RabbitMQ/Kafka messaging, emphasizing contract/versioning discipline, observability, and operational tooling that measurably reduces support load and manual work.

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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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AA

Junior Software Engineer specializing in AI assistants and cloud-native backend systems

New York, NY2y exp
Novum AINYU

Founding engineer at Novum AI building a real-time call analytics/suggestion backend (transcription + sentiment/tone + context retrieval) using a serverless architecture. Drove major latency improvements (about 4s down to sub-1.5s) and has practical experience hardening production APIs (FastAPI/Pydantic, auth with Cognito/Redis) and payment systems (Stripe) by surfacing overlooked subscription and multi-tenant billing edge cases.

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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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Harikiran Jangam - Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG systems in California, USA

Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG systems

California, USA3y exp
McKessonCalifornia Lutheran University

Backend engineer who built and evolved a PHI-compliant RAG system (FastAPI + LangChain + embeddings/FAISS) for internal document search and summarization, delivering <400ms p95 latency at ~2,500 daily requests and measurable impact (30% faster investigations, +17% retrieval relevance). Demonstrates strong security and rollout discipline (RBAC/RLS/JWT, redaction/audits, shadow mode, dual writes, canaries) and a focus on reducing hallucination risk via grounded guardrails and confidence-based fallbacks.

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Abhishek Soni - Mid-level Full-Stack Developer specializing in React and scalable web applications in Mumbai, India

Abhishek Soni

Screened

Mid-level Full-Stack Developer specializing in React and scalable web applications

Mumbai, India3y exp
Taurus TechnologiesDr. A. P. J. Abdul Kalam Technical University

Backend/data engineer with hands-on production experience across FastAPI microservices and AWS data platforms. Has delivered serverless and Glue/EMR-based ETL pipelines with strong observability (Prometheus/Grafana/Sentry, CloudWatch/SNS), schema-evolution resilience, and measurable SQL performance wins (5 min to <30 sec). Open to onsite meetings in the Bethesda, MD area and flexible on remote arrangements.

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Nisarg Shah - Junior Machine Learning Engineer specializing in geospatial analytics and computer vision in Tempe, Arizona

Nisarg Shah

Screened

Junior Machine Learning Engineer specializing in geospatial analytics and computer vision

Tempe, Arizona1y exp
Arizona State UniversityArizona State University

Built and evolved a geospatial ETL + API platform that processes pixel-wise satellite imagery in PostgreSQL/PostGIS into low-latency farm-level time-series metrics for an interactive dashboard, using precomputed hotspot analysis to reduce latency by 75–80%. Experienced in FastAPI-style API contract design (OpenAPI), caching, server-side filtering/compression, and production-minded security patterns (RBAC, session-derived authorization, password hashing) with disciplined rollback/versioning practices.

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Nithish Nelagal - Mid-Level Software Engineer specializing in data engineering and cloud platforms in Bentonville, AR

Mid-Level Software Engineer specializing in data engineering and cloud platforms

Bentonville, AR3y exp
WalmartFlorida Atlantic University

Backend-leaning full-stack engineer who has shipped production-critical data/reporting features at Walmart and built an end-to-end workflow automation product (FastAPI + React/TypeScript + PostgreSQL) deployed on AWS. Strong in performance/reliability engineering (parallel ETL, batch DB operations, indexing via EXPLAIN ANALYZE), secure API design (JWT/RBAC), and pragmatic incident-driven scaling (separating workers from API layer).

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Mahesh Kota - Mid-level Full-Stack Java Developer specializing in cloud-native FinTech and Healthcare platforms in New York, NY

Mahesh Kota

Screened

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

New York, NY5y exp
CitibankNew England College

Backend engineer with production experience building and scaling a Java/Spring Boot payment processing API on AWS (PostgreSQL/Redis) handling a few thousand RPS, including deep performance debugging (connection exhaustion) and observability (CloudWatch, Actuator, Zipkin). Also shipped application-layer AI features (OpenAI email summarizer with feedback loop, ~40% faster agent response times) and designed reliable multi-step workflow orchestration with retries and manual escalation, plus strong SQL tuning and Python engineering practices.

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Ganesh Pittala - Senior Software Engineer specializing in distributed systems and cloud-native platforms in New York, USA

Senior Software Engineer specializing in distributed systems and cloud-native platforms

New York, USA5y exp
WalmartBinghamton University

Backend-leaning full-stack engineer with experience at Walmart, Qualtrics, and American Express, shipping secure partner-facing API platforms and internal monitoring dashboards. Strong in AWS production operations (ECS/Fargate, RDS/Postgres, CloudWatch) plus rigorous testing/security practices, with measurable delivery and performance improvements (35% faster releases; ~30–40% latency reductions).

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NN

Mid-Level Software Engineer specializing in cloud-native microservices and FinTech platforms

USA5y exp
PNCArizona State University

Software developer with hands-on experience refactoring a legacy .NET CMS into a newer API-driven application (ASP.NET MVC, JavaScript/HTML), including dynamic asset migration and resolving team merge conflicts in Bitbucket. Built automated tests with PyTest and used Postman for API validation, and leveraged Splunk for production issue detection; also worked on an end-to-end ticketing/workflow management project with prioritization and verification steps.

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EP

Mid-level Data Engineer specializing in cloud lakehouse platforms and ETL/ELT

Charlotte, NC4y exp
AccentureUniversity of North Carolina at Charlotte

Accenture data engineer who greenfielded a supply-chain lakehouse platform, building an end-to-end medallion/Delta pipeline ingesting ~1.4TB/day from 17+ ERP/WMS/TMS/shipment sources. Delivered Gold datasets to Redshift/Synapse/Databricks SQL powering Power BI/Tableau with a 99.5% SLA, while cutting runtime 30% and cloud costs 16% through Spark/Delta optimizations and robust data quality controls.

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DL

Doris Lin

Screened

Executive product leader specializing in human-centered AI, EdTech, and digital transformation

Los Angeles, CA20y exp
GoodFencesUCLA

Product and design leader who has built 0-to-1 products across proptech and healthtech, including founding GoodFences and creating an explainable AI architectural review engine for HOAs. Combines deep user research, strong AI product judgment, and team-building experience, with a personal connection to educational equity as an immigrant and parent in the public school system.

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TD

Executive engineering leader specializing in consumer AI, media platforms, and content workflows

Santa Clarita, CA30y exp
FOSH

Engineering leader who grew from Lead Developer to CTO at Clips4Sale, scaling the org to around 30 people while restructuring engineering around revenue-driving initiatives like search, payments, reliability, and creator tools. Also built AI-powered event discovery and chatbot systems at FOSH using Claude, combining human feedback, prompt evaluation, and product simplification to improve output quality and user experience.

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