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Vetted Bitbucket Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Developer specializing in Java microservices and React on AWS
Mid-level AI/ML Engineer specializing in GPU-accelerated LLM and vision systems
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
Dhruv Arora
Senior Generative AI Implementation Consultant specializing in RAG and agentic AI on cloud
“LLM/RAG practitioner who built an AWS-based enterprise document search and summarization platform with RBAC and scaled it to 10K+ users, solving relevance issues via contextual chunking and hybrid retrieval. Also designed agentic workflows for a telecom forecast-validation use case using sub-agents, tool APIs, and strict context management, and has proven pre-sales influence (supported a $300K manufacturing deal with a roadmap-driven pitch).”
Senior DevOps Engineer specializing in Azure/AWS cloud infrastructure and CI/CD
Mid-Level Software Engineer specializing in FinTech payments and risk platforms
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Mid-Level Software Engineer specializing in payments, fraud detection, and risk analytics
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior DevOps & Cloud Engineer specializing in multi-cloud platforms and Kubernetes GitOps
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Bhagya Sunkara
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”
BHARGAV KODURU
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI integration
“Backend/distributed-systems engineer with Uber experience building real-time telemetry and safety signal pipelines. Strong in Kafka-based event-driven architectures, low-latency processing under peak load, and production reliability via monitoring, retries, and fallback logic; has Docker/Kubernetes and CI/CD deployment experience.”