Chetana Raj Cherkupally
Open to work3 years experienceSoftware Developer
Software Developer experienced in Java, Python, React, and microservices.
Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
25 skillsGitHub Activity Evidence
GitHub Footprint Not Connected
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Work Experience
Software Developer
BEL India
- Engineered high-performance REST APIs and backend services, reducing response latency by 30% through caching and asynchronous processing.
- Optimized MySQL and MongoDB execution plans, cutting query response times by 50% for heavy data-retrieval operations.
- Implemented advanced data structures (Tries, LRU Cache, Union-Find) and algorithms (BFS/DFS, DP) to ensure low-latency request handling.
- Built type-safe, responsive front-end architectures using React, TypeScript, and Jotai, significantly reducing state-logic complexity.
Software Developer
DMantz Technologies Pvt Ltd
- Architected Java Spring Boot microservices for property management, supporting lead tracking and financial workflows for 200+ agents.
- Developed real-time dashboards using Redux Toolkit and React-Charts, integrating Google Maps API for geospatial data visualization.
- Strengthened system reliability by implementing rate limiting, server-side pagination, and LRU caching to reduce database overhead.
- Collaborated on CI/CD pipeline deployments using GitLab, ensuring scalable storage across MySQL and MongoDB instances.
Application Support Engineer (Tier II)
Serco-NA
- Maintained 98% system uptime for government-scale web traffic by resolving 50+ critical production incidents via MS SQL optimization.
- Automated data archival and payment reconciliation using Unix shell scripting, streamlining daily database migration to cloud servers.
Projects
Multimodal Vision Language Research
- Implemented Transformer architectures from scratch, including Multi-head Attention and KV-caching, to optimize token-level fusion.
- Analyzed PaliGemma and SigLIP architectures to develop a research pipeline for LLM-based emotional recognition.
Efficient Attention for SLMs
- Conducted a taxonomy study onO(N) attention variants (kernel-based, sparse, low-rank) for models with 30M–500M parameters.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
Achievements Not Earned
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About Details
Professional Bio
Software Developer with experience in building high-performance backend services and responsive front-end architectures. Skilled in Java, Python, TypeScript, and cloud-integrated microservices. Passionate about AI research and optimizing system performance.
Masters of Applied Computing
University of Windsor (2021 - 2022)
Bachelors of Technology in Computer Science and Engineering in Computer Science and Engineering
CVR College of Engineering (2016 - 2020)