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Vetted Bootstrap Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in AWS billing and support systems
Mid-level Full-Stack Developer specializing in AWS serverless and Java/Spring
Senior Software Engineer specializing in healthcare integrations, microservices, and AI-assisted systems
Mid-level Java Backend Engineer specializing in Financial Services
Mid-Level Software Engineer specializing in Java microservices and reactive systems
Mid-Level Software Engineer specializing in AI, cloud-native microservices, and full-stack systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Software Engineer specializing in cloud-native microservices and real-time data pipelines
Senior Software Developer specializing in Python, AWS, and Big Data
Senior Full-Stack Software Engineer specializing in AI assistants and cloud platforms
Senior Full-Stack Engineer specializing in event-driven systems for FinTech and Healthcare
Staff Software Engineer specializing in full-stack platforms and cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems
Mid-level Full-Stack Developer specializing in microservices and AWS DevOps
Mid-level UI Developer specializing in real-time dashboards for FinTech and Healthcare
Nagatheja Sharaf
Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics
“React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.”
Byron Pineda
Staff/Lead Data Scientist specializing in Generative AI, NLP/LLMs, and MLOps
“Lead Data Scientist (10+ years) with recent work in healthcare data: built production pipelines that unify EHR, genomics, and clinical notes using NLP (spaCy/BERT/BioBERT) and scalable Spark-based processing. Also led development of domain-specific LLM/NLP systems for chatbots and semantic search, deploying models via FastAPI/Flask and improving retrieval with FAISS-backed, fine-tuned clinical embeddings and RAG-style workflows.”
Sarath Dunga
Mid-level Full-Stack Developer specializing in cloud microservices and AI/ML integration
“Full-stack engineer (~3 years) with eBay production experience building and operating high-scale, event-driven Python microservices for order processing and AI-powered recommendations (Kafka/Redis/FastAPI on AWS with Prometheus/Grafana). Also delivered polished React+TypeScript analytics dashboards and designed high-concurrency PostgreSQL schemas with significant latency reductions. Recently built AI-agent orchestration and an interactive node-based requirements dashboard for Siemens Polarion via MCP servers, improving user interaction by ~17.8%+.”
Jonas Shuai
Mid-level Full-Stack Software Engineer specializing in cloud, microservices, and React/Java
“Software engineer with experience at PayPal and JPMC building large-scale onboarding/account setup systems using React/TypeScript with Spring Boot/Node microservices and Kafka. Also built an Ignition-based SCADA monitoring tool at Mainspring Energy that became the default for manufacturing/test engineers by aggregating real-time telemetry and historical test data.”
CHAKRESH DODDI
Mid-Level Software Developer specializing in Java microservices and cloud-native systems
“Backend engineer focused on cloud/distributed systems, deploying Java 17/Spring Boot microservices on AWS EKS with RDS and Kafka. Demonstrated strong production readiness work (DB lock mitigation, Kafka idempotency, gradual rollouts) and delivered a major latency improvement (~400ms to ~100ms). Also has proven cross-layer troubleshooting skills, isolating intermittent API timeouts to a specific Kubernetes node’s network interface issue, and partners closely with ops teams to build dashboards and workflow automation (including Python scripts).”
Nagarjuna Vaddineni
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and data pipelines
“Amazon backend engineer who built and operated high-scale Java Spring Boot microservices on AWS (EKS/EC2) handling millions of daily transactions, with deep experience debugging p95 latency and database/ORM bottlenecks. Shipped an AI-driven real-time personalization feature by integrating SageMaker model inference end-to-end with low-latency caching and graceful fallbacks, and designed robust order/payment orchestration with retries, compensations, and DLQ-based escalation.”