.png){kind=logo}
Lalith Sagar Kambala
Junior Full-Stack Software Engineer specializing in AI-powered SaaS
Connect with Lalith
Lalith 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?
About
Worked on an AI-adjacent search/results product with a React front end and an API-driven backend, focusing on scalability and performance. Emphasizes decoupled JSON API architecture, React rendering optimizations (useMemo/useCallback), and large-dataset techniques like virtualization, plus strong user-issue triage via log analysis and edge-case fixes in query handling/ranking.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Designs scalable decoupled front-end/back-end architectures via well-defined JSON APIs
- Strong React performance optimization (memoization, minimizing re-renders, efficient hooks usage)
- Improves runtime performance through profiling, caching, lazy loading, and async processing
- Handles large datasets with UI virtualization and batched state updates
- Systematic user-issue diagnosis using reproduction + backend log tracing
- Improves search quality via query validation/normalization and ranking algorithm edge-case handling
- Creates structured, developer-friendly documentation with examples and versioning
Like what you see? We'll introduce you to Lalith directly.
Experience
Education
Awards
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Senior AI/ML Engineer specializing in applied AI and scalable backend systems
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native systems
Senior AI/ML Engineer specializing in NLP, LLMs, and retrieval systems
Ilija Hadzic
Principal Robotics & Autonomy Research Engineer specializing in localization and multi-robot navigation
“Highly experienced robotics software engineer building ROS/ROS2 systems for fleets of autonomous mobile robots (Clearpath Jackal/Husky and custom platforms), spanning localization, navigation, and multi-robot coordination. Has published work at ICRA (including RL-based local planning and heterogeneous robot coordination via a ROS-to-ZMQ bridge) and maintains open-source ROS modules, with strong simulation, debugging, and CI/CD practices.”
Interested in Lalith?
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 Lalith
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent