.png){kind=logo}
Monalisa Dokania
Junior Full-Stack Software Engineer specializing in distributed systems and scalable platforms
Connect with Monalisa
Monalisa 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 Monalisa? We'll make a personal introduction.
Education
Skills
Languages
Browse Similar
Similar Candidates
Shreya Roy Koneri
Mid-level Software Engineer specializing in backend microservices and real-time payments
“Product-minded full-stack engineer who has owned customer-facing platforms end-to-end, including a unified web UI platform that increased adoption by 30% using feature flags and phased rollouts. Experienced designing TypeScript/React systems with microservices and RabbitMQ at scale, addressing reliability issues with DLQs, retries, and idempotent consumers, and building internal analytics tooling adopted company-wide within weeks.”
Neha Baadadmath
Executive Software Engineering Leader specializing in Trading, Payments, and FinTech platforms
“Entrepreneurially minded operator with experience in trading-platform environments who prototyped a vector-database layer to generate contextual incident narratives and reduce MTTR/escalations. Also building a non-tech venture: luxury wine distribution into India and broader Asian markets, sourcing directly from wineries with a Master of Wine and planning tier-1 launch via restaurant-owner connections while navigating complex import duties and licensing.”
Senior Full-Stack Software Engineer specializing in cloud-native web applications
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.”
Interested in Monalisa?
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 Monalisa
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent