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Vetted TypeScript Professionals
Pre-screened and vetted.
Shram Kadia
Mid-level Software Engineer specializing in backend systems, cloud-native apps, and AI platforms
“Backend/full-stack engineer who has owned production systems end-to-end, including a Dockerized Node.js/TypeScript probabilistic fault-tree analysis service for nuclear safety research deployed on AWS. Also built and operated a FastAPI-based RAG pipeline over 200+ PDFs using FAISS, focusing on low-latency, idempotent workflows and strong observability; experienced with API design and Playwright E2E automation across React/Angular projects.”
Sai Macherla
Mid-level Full-Stack Java Developer specializing in Healthcare and Financial Services AI
“Built and shipped production LLM/RAG systems at Mayo Clinic, including a conversational AI assistant for patient pre-consultation and a clinical-trial matching tool for doctors. Implemented HIPAA-compliant de-identification and guardrails, plus real-time feedback logging and fine-tuning that improved response accuracy by 15% and reduced admin workload by 25%.”
Mike Klein
Executive Engineering Leader specializing in platform, DX, and customer growth systems
“Builder/technical leader who was brought into Finicity to turn a credit-improvement concept into a viable product—architected, staffed, and launched what became Experian Boost. Delivered a major North American product launch in ~6 months, scaling to ~50,000 new users per day at launch and solving complex ML classification and distributed processing/order-of-operations challenges on AWS.”
“Built and productionized a secure internal RAG-based AI assistant (LangChain/FastAPI/FAISS on GCP), tackling real-world issues like latency, retrieval speed, and hallucinations—delivering 25% faster retrieval and 99.9% uptime. Also implemented scalable, reliable ML retraining orchestration with AWS Step Functions/SageMaker/Lambda and partners closely with compliance analysts to iteratively refine prompts and outputs to meet governance standards.”
Raghuram Chandrala
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
“Full-stack engineer focused on high-throughput document/financial data platforms, building Angular/React front ends and Spring Boot microservices with Python/Flask services for heavy processing. Experienced in designing non-blocking, asynchronous workflows (Celery/RabbitMQ) and deploying containerized systems to AWS ECS with auto-scaling and CloudWatch monitoring.”
Mid-level Full-Stack Developer specializing in enterprise banking applications
Junior Full-Stack Engineer specializing in blockchain, cloud, and data platforms
Mid-Level Full-Stack Software Developer specializing in cloud-native microservices and web apps
Senior QA Engineer specializing in automation, mobile/web, and live-service games
Intern Full-Stack Developer specializing in React, Node.js, and Spring Boot
Mid-Level Full-Stack Software Engineer specializing in React and clinical analytics SaaS
Mid-Level Software Engineer specializing in Java/Spring microservices and real-time data systems
Mid-level Machine Learning Engineer specializing in production AI/ML systems and full-stack development
Junior Data Infrastructure Software Engineer specializing in distributed pipelines and AI extraction
Junior AI Engineer specializing in LLM systems, RAG pipelines, and cloud microservices
Mid-level Backend Engineer specializing in cloud-native FinTech platforms
Intern Full-Stack Software Engineer specializing in microservices and cloud platforms
Mid-level Full-Stack Developer specializing in cloud-native Java and modern web apps
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native platforms
Mid-level Software Developer specializing in Java, Spring Boot, and microservices in Healthcare and FinTech
Junior Software Developer specializing in IoT data pipelines and automation
Mid-level Full-Stack Engineer specializing in backend systems, streaming, and GenAI