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Vetted Engineering Professionals
Pre-screened and vetted.
Popular Titles
Abhishek Gupta
Mid-level Full-Stack Developer specializing in AI automation and RAG pipelines
“Frontend engineer who has led mobile-first and web React/TypeScript products end-to-end, including an expense tracking app handling sensitive financial data and a real-time messaging/activity dashboard with chat, presence, and contextual side panels. Emphasizes scalable architecture, rigorous component-boundary testing, and production-safe rollout practices (feature flags, analytics/logging, staged releases) to ship reliably in fast-paced environments.”
Kent Park
Senior Full-Stack Software Engineer specializing in cloud, identity, and security platforms
“Frontend engineer (Cyderes) specializing in security analytics/SOC dashboards, building complex multi-tenant React + TypeScript interfaces for near real-time authentication and MFA monitoring. Known for scaling quality via strict TS, shared contracts, CI-enforced multi-level testing, and performance optimization, plus pragmatic incremental refactors and gated rollouts that protect active customer workflows.”
Raden Ananta
Senior QA Engineer specializing in test automation and FinTech
“QA tester with consulting experience focused on payment systems, including scenario testing and automation using QF-Test. Has a business-impact mindset (prioritizes revenue-critical end-to-end flows) and has surfaced high-severity defects that required source code changes; not yet experienced with console game testing or platform certification requirements.”
Mohana pavan Vankayala
Mid-level Java Full-Stack Developer specializing in microservices and AWS
“Full-stack engineer (HCL Tech) with 4 years building enterprise, high-throughput microservices on AWS/Azure using Java/Spring Boot and React. Demonstrated measurable performance gains (40% throughput) through Redis caching, deep SQL/query tuning, and Kafka-based async refactors, plus strong DevOps/observability practices with Jenkins/CloudFormation and Datadog/Splunk.”
Harshini Jonnala
Senior Backend Software Engineer specializing in distributed systems and cloud microservices
“Backend engineer with NTT Data experience building Java/Spring Boot services for product-data ingestion, including Kafka-based asynchronous pipelines and Redis read-through caching. Also built a personal RAG system deployed on Google Kubernetes Service using FastAPI, LangChain, and Pinecone with multi-tenant data isolation; holds a Master’s background in Machine Learning.”
Austin Near
Mid-Level Software Engineer specializing in full-stack and backend systems
“Full-stack JavaScript developer in small-company environments building PCB manufacturing web tooling. Owned and delivered blob-storage upload/download infrastructure (including an internal developer library) and a training/compliance tracking tool. Implemented secure, broadly compatible SSO for a customer portal under a <1 month deadline tied to an 8-figure customer deal, despite having no prior authentication experience.”
Sowmya Kasu
Mid-Level Software Engineer specializing in Healthcare IT and cloud-native microservices
“Backend/ML engineer with healthcare experience at Kaiser Permanente building HIPAA-compliant Java/Spring Boot + GraphQL APIs integrated with Epic HealthConnect, including hands-on reliability/performance debugging using Prometheus/Grafana and resolver-level N+1 elimination. Also built an end-to-end malaria parasite detection ML feature (CNN/R-CNN) with evaluation, guardrails, and workflow integration, and has experience designing robust state-machine-based automation with retries, DLQs, and alerting.”
Nicholas Kim
Entry-Level Software Engineer specializing in full-stack and backend development
“Full-stack developer who built a workout tracker feature end-to-end on the PERN stack (Postgres/Express/React), including relational schema design, REST APIs, and optimistic UI updates. Also has Next.js App Router experience (dynamic routes, SSG/React Server Components) and a strong quality mindset from Boston Scientific, where they used TDD to support clinically sound ECG analysis software and drove backend test coverage to 97%.”
Jonathan Dearborn
Senior Gameplay Engineer specializing in VR and cross-platform gameplay systems
“Unreal Engine (C++/Blueprint) gameplay systems engineer who shipped major VR social-sports features in Orion Drift, including a wieldable items system that became the game’s primary IAP revenue driver and supported 75-player lobbies via careful replication/performance tradeoffs. Also built the station/server browsing system to steer players into lively lobbies and implemented backend-to-frontend tech tree infrastructure using Unreal DataTables, plus tuned standout mechanics like rideable rockets and Driftball projectile/ball behavior through frequent playtests.”
Bilal Ahmed
Senior Linux Systems Engineer specializing in hybrid cloud and DevOps automation
“Cloud/infrastructure engineer from ASM Research supporting federal healthcare systems, operating multi-cloud (AWS/Azure/GCP) environments at ~2000-server scale. Deep hands-on experience with Terraform/Ansible IaC, PR-based governance (Atlantis), and secure CI/CD (OIDC/least privilege), with concrete incident response wins and HA/failover testing improvements. Not an IBM Power/AIX specialist but comfortable translating virtualization/partitioning and ops practices to new platforms.”
Sai Erramada
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native systems
“Backend engineer with hands-on experience building real-time, event-driven systems at Walgreens, including a Kafka-based prescription status notification service and scalable pipelines for messy prescription/inventory data. Strong focus on reliability patterns (retries, idempotency, DLQs) and iterating based on pharmacist feedback to improve usability.”
Sandipkumar Prajapati
Mid-Level Software Engineer specializing in full-stack systems and authentication
“Full-stack engineer who led production modernization of a legacy, latency-sensitive application into a React + microservices platform, with heavy TypeScript backend work to improve reliability and maintainability. Has operated and scaled authentication/identity services in production, addressing peak-traffic latency spikes via database tuning and improved observability, and emphasizes idempotent, retry-safe workflow design.”
Aniruddha Chakravarty
Junior Software Engineer specializing in cloud infrastructure, observability, and full-stack systems
“Built and productionized a predictive maintenance system (predictEngineLife) estimating Remaining Useful Life for PW4000 turbofan engines from large-scale, noisy telemetry—emphasizing modular pipeline design, deterministic preprocessing, and strong observability/guardrails. Also has hands-on experience diagnosing multi-agent LLM customer-support workflows (schema/state issues, fallback paths, regression tests) and has led developer workshops (GDG Pune) while partnering with sales teams on technical discovery and POCs.”
Sai Leela Kuragayala
Mid-level Full-Stack Software Engineer specializing in scalable web apps and automation
“UE5 UI engineer who has shipped production-ready HUD/menu frameworks using C++/Slate/UMG and CommonUI, emphasizing MVVM-style architecture for maintainability and designer-friendly iteration. Strong in UI profiling/optimization (Unreal Insights + Slate Profiler), including Slate list virtualization and event-driven updates that improved UI frame time by ~30% in heavy menu scenarios.”
Srinandh Reddy
Mid-Level Software Engineer specializing in backend, cloud, and event-driven systems
“Robotics software engineer focused on backend and distributed systems for real-time robot operations, including sensor ingestion, robot state management, and robot-to-cloud communication. Hands-on with ROS/ROS2 integration and real-time navigation debugging, plus production-grade monitoring, CI/CD, and containerized deployments (Docker/Kubernetes) to improve stability and performance.”
Sukesh Sadhu
Mid-Level Software Engineer specializing in FinTech payments and event-driven microservices
“Backend/data engineer focused on fintech payments and fraud systems, owning real-time Kafka-based reconciliation pipelines end-to-end (~13k tx/day). Built audit-friendly validation/reconciliation (SQL + Python), kept lag to seconds, and cut errors ~20%, while also shipping Spring Boot APIs with Redis caching and strong idempotency/versioning. Has early-stage startup experience standing up payment services on AWS with Docker + GitHub Actions and production monitoring/incident handling.”
Meghana Reddy Devireddy
Senior DevSecOps Engineer specializing in Azure cloud infrastructure and CI/CD
“GCP-focused database/infrastructure engineer with hands-on production support for Cloud SQL and Firestore, spanning provisioning, IAM, scaling, backups, and performance tuning. They also described supporting a hybrid GCP architecture for a monolithic on-prem PostgreSQL workload and resolving a major latency incident by tracing cascading failures and fixing indexing issues.”
Kuldip Savaliya
Mid Software Engineer specializing in AI automation and full-stack systems
“Built and shipped a production LLM-powered email automation agent for procurement that ingests emails/attachments, classifies requests via rules+embeddings+LLM fallback, enriches responses with SAP inventory data, and generates templated replies. Architected it as an event-driven, idempotent Azure Functions/Queues pipeline with schema-constrained outputs, confidence gating, retries/circuit breakers, and Application Insights monitoring—cutting turnaround time from 4–7 days to near real-time while maintaining zero downtime.”
Kush Shah
Junior Full-Stack Software Engineer specializing in web apps and automation
“Backend engineer with hands-on experience building an AI-powered document processing pipeline for insurance workflows from design through deployment and production support. They combine LLM-based extraction with rule-based validation, retries, and observability, showing a pragmatic approach to making AI systems reliable in high-stakes environments.”
Chin-yu Wu
Junior Data Analyst specializing in sports analytics and business intelligence
“Analytics professional in the sports industry who has owned high-impact revenue and compliance data projects for the Colts, turning fragmented Ticketmaster and Salesforce data into trusted real-time reporting. Stands out for combining strong SQL/Snowflake engineering, rigorous validation practices, and stakeholder-facing metric design that drove a record 98% compliance rate and meaningful revenue recovery.”
Amarnath Kaushik
Junior Software Engineer specializing in full-stack systems and AI applications
“Full-stack AI engineer who has owned production deployments for both a voice journaling/emotional insights app and a RAG-based research assistant. Stands out for turning messy, failure-prone LLM and document pipelines into reliable user-facing systems through strong debugging, staged workflow design, and post-launch stabilization.”
Deepak Singh
Mid Software Engineer specializing in systems, CI/CD, and applied machine learning
“Engineer at Syniti who uses AI tools pragmatically to speed development while maintaining quality through rigorous validation, code reviews, and CI/CD. Most notably, they leveraged AI-assisted testing to increase test coverage from 10% to 70%, and they are actively exploring more advanced agent-based development workflows.”
Humera Naaz
Mid-level Full-Stack Developer specializing in cloud-native enterprise applications
“Engineer with hands-on experience embedding AI into software delivery workflows, including Claude-powered PR review, testing, debugging, and multi-agent coding pipelines. They pair AI automation with strong systems thinking around microservices, fault tolerance, multi-AZ design, caching, and security controls like WAF and rate limiting, and also experiment independently with RAG and multi-agent search projects.”
Sakshi Patel
Mid-level Software Engineer specializing in e-commerce and supply chain platforms
“AI-focused developer who has built several practical AI products, including EchoMate, a voice-agent system designed to act as a proxy for doctors and support patients when physicians are unavailable. Also has experience with multi-agent/API-based workflows in a solar suitability project, showing interest in applying AI across both healthcare and climate-related use cases.”