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Software Engineer with 3+ years in Distributed Systems & AI/ML
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Assessing your cultural and operational fit
Highly skilled Software Engineer with 3 years of experience at Oracle, specializing in designing and implementing scalable, cloud-native platforms for critical banking systems. Proven ability to drive significant improvements in data replication, migration, and deployment efficiency. Expertise spans distributed systems, Kubernetes, Spring Boot, and Python, with a strong background in AI/ML inference pipelines and open-source contributions. A competitive programmer and top-ranked problem-solver, consistently delivering high-impact technical solutions.
NIT Bhopal
B.Tech · Computer Science Engineering
August 1, 2019 – June 30, 2023
Oracle
Software Engineer
June 1, 2023 – Present
India
RAG-Based Knowledge Assessment System
January 1, 2025 – Present
Built RAG-based quiz generation system with vector embeddings for semantic search, achieving sub-300ms average response time and 85% cache hit rate to optimize LLM API costs. Deployed async processing pipeline with vector database (ChromaDB) for context retrieval, reducing inference costs by 60% through intelligent caching.
Cultural Fit Analysis
The candidate's experience at Oracle, a large enterprise, combined with contributions to open source projects, suggests adaptability to different work environments. Their involvement in competitive programming and academic projects indicates a drive for continuous learning and excellence. The breadth of skills (Java, Python, C++, JavaScript, Kubernetes, Docker, Distributed Systems, Spring Boot, Kafka, Vector Databases) and exposure to various domains (banking, AI/LLMs) indicates a versatile and curious individual who can integrate well into diverse teams and tackle varied challenges. The focus on high-impact projects with clear metrics aligns with a performance-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong ownership and leadership in their projects, evidenced by phrases like 'Designed and owned' and 'Led deployment strategy overhaul'. Their ability to achieve significant performance improvements and maintain high accuracy/uptime indicates a results-oriented and meticulous approach. Contributions to open source suggest a collaborative mindset and a willingness to engage with the broader technical community. The detailed descriptions of complex systems imply strong analytical and problem-solving capabilities.