Vetted Software Engineers

“Backend/data engineer who reports building production Python services (FastAPI + JWT) backed by Postgres and Redis, and modernizing data workflows using AWS Glue + PySpark with S3/RDS. States experience delivering AWS solutions (S3, SES, Cognito) and using golden datasets/snapshot testing for migration parity, with many details withheld due to NDAs. Seeking fully remote work with a $300k base salary expectation.”

“Backend-focused Python engineer who has owned production FastAPI services deployed on Kubernetes, including CI/CD (GitLab CI to ECR) and GitOps delivery via ArgoCD/Helm. Has hands-on experience with complex reliability and infrastructure work—solving data inconsistency with validation/partial-data paths, fixing K8s liveness issues via lazy loading, and supporting a phased cloud-to-on-prem migration with dual-writes and monitoring. Also built Kafka-based real-time ingestion consumers handling bursty, high-throughput traffic with async processing and topic/retention tuning.”

“Built a production AI-powered customer support Q&A system using an internal knowledge base to reduce repetitive ticket work and improve customer satisfaction, with an emphasis on source-backed answers and expert oversight. Also has experience defining deployment services in a microservices architecture and integrating large-scale APIs (including work connected to US HHS/COVID-19).”

“Backend/data engineer focused on production-grade Python services and AWS platforms: builds FastAPI microservices on EKS with strong reliability patterns, CI/CD, and observability. Also delivers AWS Glue/Redshift analytics pipelines with schema-evolution and data-quality safeguards, and has modernized legacy batch processing into maintainable services with parallel-run parity validation and feature-flagged rollouts.”

“Backend engineer with experience in both healthcare (Siemens) and payments (Bitwise), focused on scaling Python APIs and modernizing architectures. Has led monolith-to-microservices migrations and introduced Kafka async processing, Redis caching, and ELK observability, citing ~40% faster issue resolution and improved reliability via idempotency and strong security controls (OAuth2/JWT, RBAC, RLS).”

“Software engineer (Yellow.ai) who built and productionized an AI-driven resume tailoring system using embeddings + Chroma RAG + QLoRA fine-tuning, deployed via Docker/Kubernetes with CI/CD on a CPU-only Oracle VM. Demonstrates strong reliability/evaluation rigor (custom hallucination/coverage/relevance metrics) and measurable business impact, including a 60% user satisfaction lift from improving chatbot intent accuracy with product and support teams.”

“AI/LLM engineer who built a production RAG-based Text2SQL engine using Qdrant, including creating the underlying business/DB documentation, generating a test dataset, and designing detailed SQL-quality metrics for validation. Also partnered with non-technical stakeholders on a speech recognition project to prioritize medical terminology, improving accuracy through targeted corpora, lookup-table correction, and fine-tuning with a modified loss function.”

“Front-end-focused developer at a startup who also handles back-end integration, delivering customer-facing analytics dashboards from Figma designs while collaborating tightly with UX/product and running customer review cycles. Recently helped manage a risky production user-migration issue by stopping deployment, restoring deleted records from backups, and rebuilding the migration process with a safer test environment and validation.”

“Backend/ML platform engineer who owns end-to-end delivery of ML-serving APIs (FastAPI + TensorFlow) and runs them reliably on Kubernetes using ArgoCD GitOps. Has hands-on experience solving production-only issues (probe tuning for model warm-up, resource profiling) and building scalable Kafka streaming pipelines, plus supporting phased on-prem to AWS migrations with dependency discovery and recreation of hidden jobs/workflows.”

“Built and deployed an AI agent to help patients navigate complex housing information by scraping and normalizing unstructured data across all 50 U.S. states, then layering a LangChain RAG system with MMR re-ranking to reduce hallucinations. Experienced in orchestrating multi-agent workflows (LangGraph/CrewAI) and production reliability practices (Pydantic-validated outputs, LLM-as-judge evals, tracing). Also delivered stakeholder-facing explainability via SHAP dashboards for a loan-approval predictive model at Welspot.”

“Full-stack engineer from seed-stage Violet Labs who owned an end-to-end production "compare push results" feature for external integrations, including solving tricky false-positive success cases by validating against internal entity hashes and confirmed integration events. Experienced building React/TypeScript SPAs with a Node + Postgres backend, deploying via AWS/Kubernetes, and setting up CloudWatch logging/metrics/alarms with SNS paging.”

“Exited Founder-CEO with deep-tech experience who raised capital and built a venture around making end-to-end encryption with cloud-level performance and data sovereignty feasible. Demonstrated first-principles technical rigor (network/TCP analysis) to prove scientific feasibility, then progressed from proof of concept to prototype and eventual exit, with a strong bias toward ultra-lean, customer-paid MVPs.”

“Gameplay engineer with hands-on ownership of real-time C++/UE5 systems, including an end-to-end ability system and a networked dash feature using client prediction and server reconciliation. Strong in performance profiling/optimization (object pooling, collision-check gating) and applied math for projectile motion validated via debug visualization and QA/playtesting; particularly interested in soccer/football gameplay mechanics and feel.”

Ajay Rajakumar

Screened

Mid-level Full-Stack Developer specializing in Angular, Java, and MERN

Chennai, India4y exp

“Full-stack developer with 4 years of experience and an MS in Computer Science who led frontend delivery for a large airline platform (booking, check-in, and payment flows) using Angular/TypeScript with a Java backend. Emphasizes quality at scale via SonarQube monitoring, E2E/regression testing, and iterative Agile collaboration with clients using Figma.”

Paul Tran

Screened

Executive Technology Leader specializing in SaaS, federal consulting, and digital transformation

Tysons Corner, VA31y exp

“Former CEO of GravyWork with hands-on experience building an org-wide strategic plan and modernization roadmap for a growing company. Uses Michael Gerber’s innovation/orchestration/quantification framework and structured as-is/gap/to-be analysis to drive cost reduction, automation/outsourcing decisions, and leadership alignment through change.”

Harshini Jonnala

Screened

Senior Backend Software Engineer specializing in distributed systems and cloud microservices

Hyderabad, India2y exp

“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

Screened

Mid-Level Software Engineer specializing in full-stack and backend systems

Santa Clara, CA3y exp

“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

Screened

Mid-Level Software Engineer specializing in Healthcare IT and cloud-native microservices

Northridge, CA6y exp

“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.”

Jonathan Dearborn

Screened

Senior Gameplay Engineer specializing in VR and cross-platform gameplay systems

14y exp

“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.”

Sandipkumar Prajapati

Screened

Mid-Level Software Engineer specializing in full-stack systems and authentication

New York City, NY4y exp

“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

Screened

Junior Software Engineer specializing in cloud infrastructure, observability, and full-stack systems

Remote2y exp

“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.”

Uttam Kumar

Screened

Intern AI Engineer specializing in LLM agents, RAG, and scalable cloud deployment

Atlanta, GA2y exp

“AI/LLM engineer at GPT integrators who built a production multi-agent enterprise workflow integration system, tackling hard problems in agent orchestration, layered memory, and custom RAG over enterprise/user data. Also built an education-focused agent solution integrating with Canvas, Zoom, and email to automate classroom admin tasks, and is currently applying agentic AI to insurance underwriting workflows in collaboration with underwriters.”

Sai Leela Kuragayala

Screened

Mid-level Full-Stack Software Engineer specializing in scalable web apps and automation

Los Angeles, CA5y exp

“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.”