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Vetted System Design Professionals
Pre-screened and vetted.
Akshay Koneti
Mid-Level Full-Stack Software Engineer specializing in AWS cloud and microservices
“Backend/LLM engineer who built a production-critical Amazon Bedrock + RAG correction and compliance layer for employee communications, integrating tightly with existing Spring Boot/AWS microservices to reduce manual review while keeping outputs explainable and auditable. Also designed an event-driven system processing 10M+ events/day (SQS/Lambda/DynamoDB/Elasticsearch) and handled on-call incidents with strong observability and reliability patterns (idempotency, retries, hotspot mitigation).”
Manaswini Gogineni
Junior Software Engineer specializing in cloud infrastructure and full-stack web development
“Full-stack/platform engineer who has owned real-time analytics products end-to-end and built scalable TypeScript/React + Node.js systems using event-driven and microservices architectures (Kafka/RabbitMQ). Also created a widely adopted Go CLI that standardized AWS/Terraform provisioning across multiple teams, cutting environment setup from days to minutes through opinionated defaults, documentation, and cross-org partnerships.”
Gagan Reddy Konani
Mid-level Machine Learning Engineer specializing in LLMs and RAG for healthcare
“AI Engineer (Medtronic) who deployed a production RAG-based clinical assistant grounded in curated biomedical literature (no patient-identifiable data). Deep hands-on experience orchestrating and hardening LLM workflows with LangChain/LangGraph, including stateful agentic flows, rigorous testing, and evaluation; reports a 72% accuracy improvement through retrieval enhancements (query rewriting, multi-query expansion, MMR reranking).”
Yash Nileshkumar Mirani
Mid-level Software Engineer specializing in AI agents, data pipelines, and cloud systems
“Generalist software engineer with recent contract work at Vertex Pharmaceuticals shipping a desktop-integrated RAG assistant for lab scientists (2000+ pages ingested; ~40% support-ticket reduction in pilot). Previously owned Python/AWS financial automation services at Amazon operating at multi-billion-dollar scale, with strong strengths in API design, observability, and database/performance tuning; also built a React/TypeScript AI contract analysis product (ContractsGuy).”
Junior Software Engineer specializing in Python full-stack, cloud/DevOps, and AI/ML
Mid-level Software Development Engineer specializing in AWS cloud and full-stack web development
Junior UX Design Engineer specializing in AI-driven web and product experiences
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in web platforms and AI research
Senior Software Engineer specializing in cloud-native microservices and distributed systems
Intern Software Engineer specializing in cloud-native backend and AI orchestration
Director-level Software Engineering Leader specializing in cloud-native data platforms and ad-tech
Mid-level Software Engineer specializing in cloud-native microservices, MLOps, and GenAI
Mid-level Software Engineer specializing in computational imaging and bioinformatics
Senior Full-Stack Engineer specializing in Python, Kubernetes, and Kafka streaming
Senior Full-Stack Software Engineer specializing in FinTech and distributed systems
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Director-level Enterprise Technology Architect specializing in cloud networking and AI platforms
Mid-level Software Engineer specializing in AWS distributed systems and Salesforce platforms
Mid-level Software Engineer specializing in distributed systems and cloud-native backend