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Vetted Scrum Professionals

Pre-screened and vetted.

LP

Lamar Petty

Screened

Mid-level Full-Stack Product Engineer specializing in data-driven web apps and healthcare systems

San Francisco, CA13y exp
Wikimedia FoundationGeorgia Tech

Full-stack engineer with production experience shipping a healthcare-focused web app (Pregnancy-Pal) using Next.js/TypeScript on GCP, integrating a Python/Flask middleware and FHIR server for patient/practitioner dashboards and messaging. Former Wikimedia Foundation Android engineer who led the end-to-end 'Year in Review' feature and built robust automated testing/CI practices (Espresso, GitHub Actions matrix). Strong emphasis on reliability via rigorous validation, comprehensive Postman testing, and detailed API documentation.

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JS

Mid-Level Software Engineer specializing in full-stack systems and developer tooling

Austin, TX3y exp
AppleCollege of the Sequoias

Built and productionized an AI extension for JetBrains IDEs providing coding assistance, testing, security sweeps, and documentation generation using both an internal LLM and third-party models (e.g., Gemini, Claude). Experienced in diagnosing customer issues in real time (Slack) with structured follow-through (GitHub Issues) and driving adoption through developer-oriented walkthroughs and video demos.

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JS

Executive Technology Leader (CTO) specializing in marketplaces, FinTech/AgTech, and team scaling

São Paulo, Brazil17y exp
VerdeFIAP

Brazil-based startup CTO who raised $3M and spent 5 years building an agri-fintech credit origination tool for farmers, including going through Y Combinator and fundraising via Demo Day and Brazilian VCs. Ultimately shut the company down due to market shifts (rising interest rates and farmer delinquency), demonstrating pragmatic judgment and deep exposure to credit-market dynamics.

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KK

Kiran Kumar

Screened

Mid-Level Full-Stack Software Engineer specializing in Java/Spring and React with GenAI automation

USA4y exp
AirbnbAuburn University at Montgomery

Software engineer (4+ years) with hands-on production GenAI experience: built an AI incident triage assistant that summarizes production logs for on-call engineers and iterated it using real incident metrics (time-to-signal, triage duration). Also shipped a RAG-based customer support knowledge assistant using embeddings + vector retrieval with strong guardrails (relevance thresholds/abstain, sanitization, auditing) and a formal eval loop (500-query gold set) that drove measurable retrieval improvements.

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SR

Sanjana Reddy

Screened

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

Remote, USA4y exp
BrexArizona State University

Product-minded software engineer with experience shipping AI-powered financial insights (spend forecasting, cashflow, credit optimization) and building real-time analytics systems using React/TypeScript and FastAPI. Has designed microservices with RabbitMQ/gRPC and strong observability (Prometheus/Grafana/OpenTelemetry), and also built an internal Figma plugin adopted by designers that reduced export time by 50%.

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MS

Manvir Singh

Screened

Senior Full-Stack & Mobile Software Engineer specializing in cloud-based applications

Englewood, NJ10y exp
Cobalt BrandsUniversity of Washington

Data/ML backend engineer with hands-on production experience spanning RAG services (LlamaIndex/OpenAI) and AWS data platforms. Has delivered Terraform-managed AWS architectures (Lambda + ECS Fargate) with secure secrets handling, built Glue-to-Redshift ETL with schema evolution controls, modernized SAS reporting into Python microservices, and achieved major Redshift query speedups (2+ hours to under 15 minutes).

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PG

Parth Gupta

Screened

Junior Robotics & Computer Vision Engineer specializing in perception and autonomy

Ames, IA2y exp
Salin 247Carnegie Mellon University

Robotics engineer with capstone experience building an autonomous food-assembly robot arm, owning perception/deep learning (SAM2-based segmentation) and a model-based RL manipulation policy for deformable food items while also serving as project manager. As a robotics engineering intern at Salin247, optimized an autonomous farm vehicle perception stack to hit 20 FPS by cutting latency from 200ms+ to ~40ms using GPU acceleration (CUDA OpenCV, CuPy) and multiprocessing, and built ROS 2 nodes for real-time perception and streaming.

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BD

Mid-level Full-Stack Software Engineer specializing in FinTech microservices

California, USA4y exp
PayPalCalifornia State University, Long Beach

Robotics software engineer who has built end-to-end pipelines spanning backend/data processing through model interfaces and hardware integration. Has hands-on ROS2 experience building Python nodes and debugging real-time behavior via profiling, publish-rate tuning, and latency fixes, plus experience standardizing multi-robot communication with QoS adjustments. Uses Gazebo simulation and Docker/CI/CD to catch integration issues early and speed iteration.

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LK

Lekha Karanam

Screened

Mid-level AI/Analytics Product & Data Professional specializing in LLM and dashboard automation

Dallas, TX3y exp
Goldman SachsUniversity of Texas at Dallas

Built and shipped open-source LLM/RAG systems, including a generative AI assistant grounded on ~30,000 scraped university web pages, improving response accuracy ~30% by moving from TF-IDF-only retrieval to a hybrid sentence-transformer approach with fallback controls. Also partnered with non-technical leadership at Securi.ai to deliver real-time predictive analytics dashboards (Elasticsearch + Jira/ServiceNow) that reduced project overhead by 18%.

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AR

Mid-level Full-Stack Software Engineer specializing in cloud SaaS and accessible web apps

Waterloo, Canada6y exp
FreelanceUniversity of Waterloo

Frontend engineer who leads end-to-end delivery of complex workflow-driven React + TypeScript products on top of Rails/GraphQL backends, with a strong emphasis on typed API contracts, scalable architecture, and automated quality gates. Shipped major features (e.g., inventory reservation at Jobber) using feature-flagged rollouts, close QA collaboration, and performance-focused iteration.

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SM

Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud-native AI automation

Long Beach, CA3y exp
UberCalifornia State University

Software engineer focused on reliability and scalable systems: built React/TypeScript dashboards backed by Java/Spring Boot APIs and designed Kafka-based microservices with strong contract/versioning discipline. Known for shipping incremental improvements with tight feedback loops and for creating internal observability tools that streamline on-call and incident diagnosis under high-traffic conditions.

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LC

Mid-level Full-Stack Developer specializing in cloud-native web apps and APIs

Tampa, FL5y exp
DatabricksUniversity of South Florida

Backend engineer with experience building microservice-based systems that integrate LLM workflows (code review suggestions, documentation generation, test scaffolding) using REST APIs, Celery/Redis, and OpenTelemetry for observability. Demonstrates hands-on database and performance optimization in PostgreSQL/SQLAlchemy (bulk inserts, lock mitigation, cursor-based pagination) plus multi-tenant data isolation via tenant-aware models, middleware scoping, and schema/row-level strategies.

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JM

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

Dallas, TX6y exp
Johnson & JohnsonUniversity of North Texas

Full stack engineer in the financial/thematic investing domain who built end-to-end applications on AWS. Notably redesigned a slow portfolio analytics workflow by offloading heavy computations to scheduled AWS Lambda jobs and caching results in DynamoDB (TTL), cutting API latency from ~5 seconds to under 300ms while supporting data-heavy daily market processing.

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ZS

Zaki Sediqyar

Screened

Senior Technical Support Engineer specializing in platform escalations across FinTech and FAANG

San Francisco, CA9y exp
CoinbaseBerkeley City College

Customer support professional with Scrum Master and Product Owner certifications who has handled high-stakes account security incidents (including locking down an account to protect over $200k) and troubleshot live data feed integrations (XML/socket) by identifying IP whitelisting mismatches. Emphasizes transparent stakeholder communication, escalation, and building internal wiki documentation to prevent repeat issues.

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PM

Prajit Mohan

Screened

Junior QA Engineer specializing in test automation for web applications

Oakland, CA3y exp
CognizantUC Berkeley

QA automation engineer with healthcare web experience who owned an end-to-end automated test suite (Java/Cucumber/Selenium and Cypress) and integrated it into CI/CD (Jenkins to GitHub Actions, qTest DoD gates). Known for boosting regression coverage to ~93%, stabilizing flaky Cypress tests, and catching production-impacting pipeline/environment redirect issues through workflow updates and cross-browser/regional scenario testing.

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AS

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

USA4y exp
PaychexTrine University

Backend/platform engineer with payroll domain depth who built high-volume payroll processing microservices (Java/Spring Boot, Kafka, PostgreSQL, Redis) on AWS Kubernetes and debugged major peak-cycle latency by redesigning transaction boundaries and moving to async Kafka processing (>50% latency reduction). Also shipped an LLM-powered HR assistant using RAG with strong security/guardrails (RBAC, PII masking, audit logs) that cut support tickets by 40%, and designed reliable multi-step agent workflows with retries, circuit breakers, and idempotency.

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YJ

Yashwanth J

Screened

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

Seattle, WA4y exp
AppleUniversity of North Texas

Full-stack engineer at Bank of America who built and iterated a real-time transaction monitoring/fraud detection system processing 50K+ daily transactions, improving latency (25%), dashboard performance (30%), and reducing manual investigation time (40%) while meeting PCI DSS via OAuth2 and RBAC. Also built a scalable ETL pipeline for messy financial data with strong reliability/observability (ELK, retries, DLQ), boosting data integrity from 87% to 99% and sustaining 99.8% uptime.

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TN

Tanveer Nazir

Screened

Senior Cloud & DevOps Engineer specializing in enterprise cloud automation and Kubernetes

Remote, NY11y exp
Bank of AmericaCollege of Staten Island, CUNY

Infrastructure/DevOps engineer with primary ownership in enterprise Linux and AWS/Azure production environments (including financial systems). Built secure, repeatable CI/CD pipelines deploying containerized workloads to EKS/ECS and implemented Terraform/CloudFormation IaC with drift detection and rollback practices; lacks direct IBM Power/AIX/PowerHA experience.

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SP

Mid-level Backend Software Engineer specializing in Python APIs and payment systems

USA6y exp
StripeSouthern Illinois University Carbondale

Backend/ML systems engineer with Stripe payments experience who built an asynchronous processing upgrade handling millions of API requests, cutting peak latency ~20–25% while preserving strict financial consistency via idempotency-safe retries and robust validation/fallbacks. Also built scalable ETL pipelines for messy CSV/Excel/API data with strong observability (structured logging/monitoring) and reliability mechanisms.

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SL

Sean Li

Screened

Senior Frontend/Full-Stack Engineer specializing in e-commerce platforms and gaming

Vancouver, Canada17y exp
Take-Two InteractiveUniversity of British Columbia

Frontend engineer who led Take-Two’s first direct-to-consumer e-commerce platform, setting up a React/Next.js monorepo with CI/CD and semantic releases. Built a centralized, SSR-based payment micro-frontend (iframe + postMessage) integrating providers like PayPal/Braintree and Xsolla while meeting legal constraints around sensitive data, and drove measurable performance gains (~40% faster loads) through SSR and multi-layer caching (including Redis).

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MI

Mid-level Data Scientist specializing in machine learning and big data analytics

Bentonville, AR6y exp
WalmartUniversity of North Texas

Walmart engineer who built and shipped a production LLM+RAG system to automate triage and analysis of computer support chats/tickets, producing grounded, schema-constrained JSON outputs for summaries, urgency, and routing recommendations. Emphasizes reliability (hallucination control, confidence thresholds, human-in-the-loop) and runs end-to-end pipelines with Airflow and AWS-native orchestration, plus rigorous evaluation and monitoring tied to business KPIs.

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DS

Divrit Saini

Screened

Mid-Level Full-Stack Software Engineer specializing in Java/Spring, AWS, and Angular

USA6y exp
AmazonArizona State University

Amazon engineer who owned customer-facing Alexa features and built automation-heavy delivery practices (API/service-level testing in CI/CD) to ship quickly without sacrificing stability. Also built an internal self-service feature management/beta access platform (Angular + Spring Boot + event publishing) that replaced a multi-team ticket workflow with instant, auditable operations, and has deep microservices/Kafka experience with strong observability and reliability patterns.

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RD

Rasmi Dhavala

Screened

Senior Full-Stack Developer specializing in cloud-native microservices

Jersey City, NJ7y exp
CignaTexas A&M University-Commerce

Java full-stack developer who has owned data-intensive, customer-facing and internal web products end-to-end (React/Angular + Spring Boot), including CI/CD and production support. Demonstrates deep microservices experience with RabbitMQ/event-driven architecture, idempotency, DLQs, and compensating logic to maintain reliability and data consistency at scale, plus a track record of replacing spreadsheet-based ops reporting with an adopted real-time internal tool.

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SS

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

4y exp
Goldman SachsIndiana Wesleyan University

Full-stack developer who built a learning management web app end-to-end using React, Spring Boot, and MySQL, integrating APIs via Axios and validating/testing with Postman. Has experience handling data-heavy workloads (courses, quiz results) and improving performance with pagination, and is comfortable designing microservice-style endpoints with CI/CD considerations.

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