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Architected an AI-powered call center assistant that provides real-time smart suggestions to representatives based on live transcription analysis, helping agents close deals faster and improve conversion rates

Improved end-to-end suggestion latency from 3–4 seconds to under 1.5 seconds by parallelizing context retrieval, optimizing chunking strategy, and tuning AWS Lambda memory to reduce cold-start overhead

Redesigned the retrieval pipeline using layout-aware hierarchical chunking with sparse search, dense vector search, and cross-encoder re-ranking, improving context relevance during live calls

Built event-driven backend services with AWS SAM and CI/CD pipelines, implementing session-based authentication with auto-refresh and multi-tenant RBAC for 50+ concurrent sessions

Reworked authentication architecture by separating authentication and authorization into dedicated middleware, reducing request complexity and improving maintainability using Redis-backed sessions

Implemented production security hardening including webhook signature verification, CORS enforcement, and authorization middleware to prevent injection and scripting attacks

Developed an AI assistant platform using LangChain, OpenAI Embeddings, and Chroma vector store, achieving accurate document retrieval on 500+ internal test queries with semantic search

Redesigned backend by migrating Flask to FastAPI with asynchronous processing and optimized database queries, reducing API latency by 30% through performance testing

Led Agile development in a 3-person team, using Azure DevOps to manage sprints and implementing CI/CD pipelines for automated testing and deployment to AWS

Mentored 50+ graduate and undergraduate students in C++ and Java, focusing on object-oriented design, data structures, and clean coding practices

Reviewed student code and provided detailed feedback on correctness, design choices, and performance trade-offs

Assisted students with design patterns, SOLID principles, and translating theory into working implementations

Provided career and technical guidance beyond coursework, helping students understand industry expectations and technology choices

Developed and launched a website for the Google Developer Club with a team of 5 members using the React.js framework, resulting in a 20-30% increase in club visibility and member engagement

Organized key events in cloud computing, web, and Android development, resulting in a virtual workshop with over 300 attendees

Showcased interactive tech learning experiences and fostered community engagement through technical workshops