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Vetted JUnit Professionals
Pre-screened and vetted.
Mid-level Software QA Engineer (SDET) specializing in test automation and CI/CD
Mid-level SDET specializing in QA automation, API and performance testing
Mid-Level Full-Stack Java Developer specializing in React, Spring Boot, and cloud microservices
Junior Software Developer & QA Engineer specializing in test automation and AI/ML
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Mid-Level Software Engineer specializing in full-stack systems and authentication
Junior Backend/Systems Engineer specializing in distributed systems and security
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs
Senior Software QA Engineer specializing in test automation and CI/CD
Senior QA Automation & Performance Engineer specializing in web, API, and cloud testing
Mid-level QA Automation Engineer specializing in web, API, and mobile test automation
Rakesh Kumar
Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE
“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”
Gautam Agrawal
Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP
“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”
Sneha Sridhar
Mid-level Software Engineer specializing in cloud-native backend and distributed systems
“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”
Devanshi Desai
Mid-level Full-Stack Engineer specializing in Java/Spring, React, and AWS cloud platforms
“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”
Mounika Chintala
Senior Java Full-Stack Developer specializing in cloud-native microservices
“Backend Java developer who built an end-to-end upcoming payments feature: Spring Boot/Hibernate microservices with MySQL query/index optimization and Kafka event publishing, plus a web UI timeline component enabling users to view, skip, and edit scheduled payments with clear status indicators.”
Sandeep Katna
Mid-Level Software Engineer specializing in distributed systems and AI agent workflows
“Software engineer with enterprise CPQ/CRM/ERP integration experience (Argano) who owned an end-to-end pricing preview capability deployed on AWS Kubernetes with Jenkins CI/CD and full observability (Prometheus/Grafana). Also built an AI-native research agent using LangChain + Chroma to filter academic papers, reporting ~15 hours/week saved for a professor.”
Annie Suzan Edwin Arokiaraj Caroline
Junior Full-Stack Software Engineer specializing in distributed systems and data pipelines
“Backend engineer with hands-on experience building distributed data and API platforms (Kafka + Neo4j on Kubernetes), including processing 3M+ NYC taxi trip records and achieving sub-second graph analytics queries. Strong focus on reliability and performance in Python/FastAPI systems—async refactors, caching, timeouts/retries, feature-flagged rollouts, and JWT/RBAC security for production services.”