I am a software engineer with strong expertise in Java, C++, Python, SQL, and JavaScript. My core technical strengths lie in building high-availability RESTful APIs, scalable microservices architectures (Spring Boot, FastAPI, Node.js), distributed query pipelines (PostgreSQL, MongoDB, ChromaDB), and vector-indexed Neural RAG search engines.
I hold a Bachelor of Technology in Artificial Intelligence and Data Science from Ramachandra College of Engineering (Nov 2021 β Jun 2025). During my tenure at ITJOBXS, I maintained 99.9% uptime for production REST APIs serving high-volume live traffic and cut query retrieval latency by 40%.
Structured expertise across Core Languages, Backend Frameworks, Cloud & Distributed Systems, Databases, and CS Fundamentals.
High-throughput engines, neural search pipelines, and microservices built with Clean Code & SOLID principles.
Architected a resilient, fault-tolerant health AI edge system awarded a Rs. 15 Lakh Government Grant for low-bandwidth rural deployment. Engineered on-device inference using TFLite and asynchronous event streams on Firebase, cutting cloud infrastructure costs by 60% with sub-300ms response latency.
Designed a high-concurrency search engine with ChromaDB vector indexing and custom similarity metrics, reducing irrelevant retrieval results by 35%. Optimized asynchronous FastAPI endpoint handlers with JWT security layers, achieving sub-200ms document processing and vector retrieval.
Engineered a modular core banking microservice using Java, Clean Code, and SOLID principles to execute low-latency concurrent ledger transactions. Implemented thread-safe data access layers, transaction management, and automated JUnit test suites to ensure 90%+ unit test coverage.
High-throughput real-time event streaming pipeline built in Go and Apache Kafka. Containerized with Docker. Features dynamic consumer scaling, SHA-256 payload integrity checks, packet-loss auditing, and a glassmorphic WebSockets dashboard.
End-to-End Salesforce Recruitment Management application featuring relational database schemas, Record-Triggered Flow automations, Field-Level Security (FLS) profiles, and interactive web simulator.
A cybersecurity scanner that inspects Android applications for hidden vulnerabilities, malware, and permission misuse using static and dynamic analysis. Ranked in the top 1% among 50,000+ national competing engineering teams.
Solved 200+ Data Structures & Algorithms problems on LeetCode covering Dynamic Programming, Graphs, Trees, and Array manipulation.
Awarded Rs. 15 Lakh Government Grant for engineering a low-bandwidth, fault-tolerant healthcare AI edge system.
Ranked in the Top 1% among 50,000+ national competing engineering teams for SecureAPK+ mobile app security suite.
Comprehensive study of Software Engineering, Data Structures & Algorithms, Object-Oriented Programming (OOP), Database Systems (SQL/NoSQL), Machine Learning, and Cloud Computing.