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Vetted Asynchronous Processing Professionals
Pre-screened and vetted.
Intern Full-Stack Software Engineer specializing in cloud-native web platforms and API integrations
Mid-Level Backend Engineer specializing in Node.js/TypeScript and AWS
Senior Backend/Platform Engineer specializing in FinTech and distributed systems
Mid-Level Backend/Distributed Systems Engineer specializing in FinTech and real-time platforms
Senior Full-Stack Engineer specializing in cloud-native SaaS and healthcare platforms
Junior Software Engineer specializing in cloud-native data systems and event-driven microservices
Mid-level Full-Stack AI Engineer specializing in LLM automation and scalable APIs
Intern AI Software Engineer specializing in backend systems and data platforms
Senior Software Engineer specializing in LLM agents and RAG pipelines
Mid-level Full-Stack Engineer specializing in Java/Spring Boot and payments automation
Mid-Level Software Engineer specializing in backend APIs, cloud microservices, and LLM integration
Mid-level Backend & AI Engineer specializing in agentic systems and scalable microservices
Mid-level Backend Software Engineer specializing in cloud microservices and AI agent systems
Junior Software Engineer specializing in AI-driven full-stack and distributed systems
Junior Backend/Full-Stack Software Engineer specializing in distributed systems
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
srisindhu manchikanti
Mid-level Machine Learning Engineer specializing in multimodal and time-series AI systems
“Backend engineer who rebuilt and refactored high-traffic systems at Phenom using Java/Spring Boot/Play and also designs Python/FastAPI services. Focused on measurable reliability and performance gains through DB/query optimization, async processing, and strong observability, with disciplined rollout practices (feature flags, parallel runs, rollback) and security patterns including token auth and row-level security.”
Kanva Jaydeep Trivedi
Junior Full-Stack & LLM Engineer specializing in AI agents and cloud document intelligence
“Backend engineer specializing in event-driven/serverless systems and Python/FastAPI APIs. Built a scalable PDF-to-structured-data pipeline on AWS (S3, Lambda, Step Functions, Textract, DynamoDB, SNS) with strong observability (p50/p90/p99) and reliability patterns (idempotency, retries/DLQs), and has led zero-downtime migrations using feature flags, dual writes, and incremental rollouts.”
Manas Agarwal
Junior Full-Stack Software Engineer specializing in Python APIs, React, and cloud AI integrations
“Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.”
Viswanath Jagaluri
Mid-level Full-Stack & AI Engineer specializing in LLM applications
“Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.”
Baby Swathi Ramisetti
Mid-level Backend Software Engineer specializing in Python APIs and cloud-native systems
“Software/product engineer who owns customer-facing internal platforms end-to-end, with deep experience building data pipeline health and data quality tooling (near-real-time alerting and ops dashboards). Strong in React/TypeScript + Python REST architectures and microservices with RabbitMQ, emphasizing reliability patterns (idempotency, DLQs, correlation IDs) and fast, safe iteration via feature flags, testing, and observability.”