Vetted JSON Professionals

“UE5 UI engineer who built a production-ready, modular training/procedure framework with editor tooling so curriculum designers and technical trainers could author content without Unreal expertise. Deep hands-on ownership across C++/Slate/UMG/CommonUI, including MVVM architecture, cross-platform input/navigation, and rigorous UI profiling/debug tooling that can be stripped from shipping builds.”

“Data engineer with experience delivering an end-to-end pipeline handling ~3.5TB in a star-schema setup (fact + dimensions) and producing business-facing tables in Hive/Spark. Identified and resolved UAT-reported duplicate issues caused by joins through root-cause analysis, and also built automation to run Spark SQL metrics on weekly/monthly/quarterly cadences and distribute results to users.”

“Data engineer focused on fraud and banking analytics who has owned end-to-end batch + streaming pipelines at very large scale (hundreds of millions of records/day). Built robust data quality/observability layers (schema validation, anomaly detection, alerting) and delivered low-latency serving via AWS Lambda/API Gateway with DynamoDB + Redis, plus external data ingestion/scraping pipelines orchestrated in Airflow with anti-bot protections.”

Mahesh Kumar Duvvuri

Screened

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

New York City, NY4y exp

“Backend/infra engineer with experience across Nestle, J.P. Morgan, and Capgemini, combining ML systems work (YOLOv8/PyTorch object detection with TFLite edge deployment) with production-grade cloud/Kubernetes operations. Has delivered measurable impact via AWS migrations (25% cost reduction, 99.9% availability), microservice modernization (35% faster processing), and low-latency Kafka streaming for financial dashboards (<100ms) using DLQs and idempotent consumers.”

Ajay Madhusudhan Thumala

Screened

Junior Software Engineer specializing in data engineering and LLM applications

Irvine, CA1y exp

“Computer science engineer and master’s graduate who independently built a mechatronics-heavy capstone prototype: a smartphone concept for deafblind users using micro-actuator arrays for braille reading. Also has platform engineering experience at Quantiphi, deploying webhooks to Kubernetes and implementing GitOps-based CI/CD using AWS CodeCommit/CodeBuild and ECR.”

Akshaya Chiduruppa

Screened

Mid-level Quality Assurance Engineer specializing in AI/ML and Apple ecosystem testing

Seattle, WA4y exp

“QA automation engineer with end-to-end ownership of a regression suite for a warehouse loan management platform (.NET/Angular), using Selenium (Java/Cucumber/POM) and Cypress. Improved suite stability and expanded risk-based coverage (DB/API/SQL, RBAC approval workflows), catching critical financial defects like EMI calculation errors and cutting regression effort by ~50% while gating releases via GitLab CI/CD with actionable Slack reporting.”

“Full-stack engineer with experience shipping production features in both networking (Cisco: ACL object groups, 3G/4G) and fintech/online banking (PLAID, Auto Pay, OLB, membership qualification). Works primarily with React/Java/Hibernate and REST/JSON, emphasizing caching/memoization for UI performance and strong testing/XP practices to maintain quality under faster release cycles.”

“Full-stack engineer with strong enterprise delivery experience across manufacturing and semiconductor use cases, owning deployments from discovery through post-launch support. Stands out for combining traditional product engineering with applied GenAI workflows and data pipeline reliability work, including a manufacturing app that reportedly saved a Fortune 500 customer about $6M and an AI chat panel adopted by 70% of pricing analysts.”

“5-year .NET full stack developer who has applied AI-assisted development in an enterprise Cisco environment, using tools like GitHub Copilot and ChatGPT to accelerate microservice API delivery while maintaining architecture, security, and code quality standards. Notably reports a roughly 30% reduction in development time on a customer policy management/claims processing project through disciplined use of AI for boilerplate, testing, and design validation.”

“Founding engineer who has built web products end-to-end in startup settings, spanning FastAPI/React application development, auth, cloud deployment, and Kubernetes-based scaling. Particularly notable for designing custom GPU autoscaling for an AI-style recommendation product and later shipping workflow-driven healthcare support tooling using Temporal, Postgres, and modular backend logic.”

“LLM/agent engineer who shipped a two-stage AI recruitment screening platform at Foursquare that automated resume ingestion through behavioral assessment, delivering an 85% reduction in screening time across 5,000+ applications with auditability and confidence-gated decisions. Also built a multi-agent benchmarking framework using MCP tool interfaces and a RAGAS + LangSmith evaluation/observability stack, including async re-architecture that cut production latency by 50%.”

Shivoham Angal

Screened

Entry-level Backend Software Engineer specializing in AI and cloud systems

Remote, New York1y exp

“Backend-focused engineer who built a hackathon trading vault (AntiSwan) integrating the Polymarket CLOB client and applying the Kelly Criterion for allocation decisions. In an internship at StartupU, owned pre-launch monitoring by building Azure dashboards and Terraform/KQL-driven alerts with Microsoft Teams webhook routing, and previously automated a DynamoDB cross-region migration with integrity checks.”

Jeff Craven

Screened

Director-level delivery executive specializing in enterprise SaaS, telecom, and platform deployments

Gainesville, GA37y exp

“Enterprise SaaS implementation leader with broad cross-functional ownership spanning project management, sales engineering, customer success, and technical account management. Has delivered complex migrations and multi-release portfolios across 40+ enterprise customers, including utilities, telecom, and municipal environments, with strong experience coordinating high-stakes cutovers, integrations, and executive stakeholder communication.”

“Senior frontend engineer with 8+ years of experience spanning Verizon and 7-Eleven, focused on developer platforms, design systems, and real-time operational products. Built framework-agnostic component libraries and large-scale React/TypeScript architectures that reduced feature development time by 30%, improved UI satisfaction by 40%, and cut onboarding time by 25-30%. Particularly strong in WebSocket-driven GenAI experiences, observability dashboards, and cross-functional API/platform leadership.”

“Backend/platform engineer who has built and run production Python/Flask + Kafka microservices processing RFID and camera/RFID fusion streams for near-real-time retail cart updates at ~4–5M events/day. Strong in reliability/performance debugging (p99 latency, Kafka lag, Cosmos DB RU hot partitions) with measurable impact including ~30% database cost reduction, and has also shipped an end-to-end vulnerability scanning workflow with DynamoDB-backed state, idempotency, and robust retry/verification guardrails.”

“UX/product designer in a medical laboratory B2B portal context who prototypes beyond Figma—built a GPT-based settings chatbot to address findability and low settings adoption, iterating through 11 tested versions with regression safeguards and structured prompts to mitigate instruction truncation/hallucinations. Also redesigned clinic order management by separating doctor vs assistant experiences and introducing step-based status views for a long, multi-stage lab order lifecycle; former full-stack engineer who improves design-to-dev handoffs via templates and readiness rituals.”

“JavaScript engineer with hands-on experience improving performance in data-heavy table UIs (thousands of rows), including an open-source DataTables extension fix that reduced redundant AJAX calls via debouncing and was merged upstream. Comfortable profiling/benchmarking, optimizing DOM and network behavior, and collaborating with OSS maintainers through GitHub issues/PRs while also producing clear developer documentation and quick-start examples.”

“Full-stack engineer with primary depth in .NET Core and Python who has built and deployed end-to-end AWS applications (Lambda, API Gateway, S3, CloudFront) and supported them in production. Experienced in scaling large, data-driven workloads using queues/background workers, batching, and database tuning, with strong focus on API contracts, observability, and resilience patterns; also has hands-on React/TypeScript and some Spring Boot exposure.”

“Researcher from the University of South Dakota who built a production medical RAG system to help interpret model predictions by retrieving relevant clinical notes and medical literature, overcoming retrieval accuracy and imaging-dataset challenges through semantic chunking and metadata-driven indexing. Also has hands-on orchestration experience with Airflow and Azure Data Factory, plus a pragmatic approach to LLM evaluation and stakeholder-driven iteration.”

“Cornell master’s student (CS/Stats) focused on research-heavy ML projects: implemented a sparsity-driven RL approach (DAPD + Soft Actor-Critic) that maintained stable learning even with ~95% of weights removed in OpenAI Gym continuous-control tasks. Also worked on diffusion-based computer vision with conditioning and latency-focused U-Net choices, and scaled unsupervised community detection on a 50k-node/800k-edge Reddit graph via BFS subgraph sampling.”

“Built and productionized a Python/LLM-based pipeline at Catalyst Solutions to automate healthcare RFP processing, turning unstructured documents into validated JSON/Excel with schema validation, confidence scoring, and human-review routing. Delivered major operational impact (hours-to-minutes processing, ~60% efficiency gain; 50+ RFPs processed) and modernized legacy scripts into a staged, more reliable architecture using incremental refactoring and fallback comparisons.”

“Full-stack engineer with production experience building a security integrations portal in Next.js (App Router + TypeScript), using server components and typed route handlers as a secure proxy to multiple third-party security vendors. Demonstrated ability to scale performance significantly (server-side re-architecture for 1M+ datapoint dashboard filtering; Postgres query tuning from 1–2s to <200ms) and to own features post-launch (reliability, caching/background sync, and rapid onboarding of new integrations) in a pre-Series B through post-Series C environment.”

Sayali Patil

Screened

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

Everett, MA6y exp

“Backend engineer with hands-on experience building a fraud-transaction monitoring system in Python/Flask, architected as Dockerized microservices and integrated with Kafka for high-volume streaming. Demonstrates strong performance and reliability chops across PostgreSQL/SQLAlchemy tuning (EXPLAIN ANALYZE, N+1 fixes, bulk ops), multi-tenant data isolation, and scaling via background workers + Redis caching, plus real-time ML inference deployment using TensorFlow on AWS.”

NIDHEESH VELUTHERI

Screened

Senior Full-Stack Engineer specializing in modern web applications

Toronto, Canada13y exp

“Frontend engineer with insurance-domain experience (AAA Insurance and insurance quoting flows) who has delivered Angular/React/Next.js products end-to-end. Notable for building a complex drag-and-drop email template/code-generation UI and for modernizing React codebases (Redux->Context, lazy loading, memoization) to improve performance and reduce security vulnerabilities, while using feature flags and strong QA automation for fast, controlled releases.”