.png){kind=logo}
Tanusree Byram
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Connect with Tanusree
Tanusree already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Experience
Want to connect with Tanusree? We'll make a personal introduction.
Education
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Surya Teja
Mid-level Backend/Full-Stack Engineer specializing in AI and FinTech payments
“Full-stack engineer who has owned an operational reporting/dashboard product end-to-end—building a React UI, designing/implementing FastAPI services, and deploying/operating on AWS. Demonstrates strong performance engineering (Postgres query/index tuning using EXPLAIN ANALYZE) with concrete impact (reports reduced from tens of seconds to a few seconds) and a reliability mindset across observability, migrations, and resilient third-party/ETL integrations.”
Mid-level Full-Stack Java & AI Engineer specializing in cloud-native microservices and RAG assistants
Rohit Khoja
Mid-level Full-Stack Engineer specializing in cloud microservices and NLP/LLM systems
“Full-stack engineer with 3+ years using Java/Spring Boot (Citi) and React, who built a production observability dashboard monitoring 53 microservices across 17 clusters with real-time health/latency tracing and significant performance improvements (cut load time from ~10s). Also designed a serverless AWS face-recognition system (Lambda/S3/SQS) built to handle burst traffic (~1000 concurrent requests), demonstrating strength in scalable, event-driven architectures.”
Mid-level Full-Stack Software Engineer specializing in cloud-native FinTech and SaaS platforms
Chandana reddy
Mid-level Full-Stack Developer specializing in cloud-native microservices and distributed systems
“Software engineer with hands-on ownership of both fintech checkout improvements (saved payment methods/one-click checkout with tokenization and feature-flag rollouts) and production LLM/RAG systems for customer support. Demonstrates strong operational rigor via guardrails, evaluation loops integrated into CI/CD, and scalable data pipelines handling messy PDFs/CSVs/logs with reliability and observability.”
Interested in Tanusree?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Tanusree
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent