Projects

AI-Driven Kubernetes Observability Platform

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• Built an autonomous diagnostic system using LangGraph, Prometheus, Loki, Tempo, and Grafana MCP for cross-signal querying, enabling automated root-cause analysis and reducing MTTR
• Engineered a multi-agent diagnosis pipeline with integrated tracing (Langfuse) and automated regression evaluation workflows (Weights and Biases), establishing reproducible performance benchmarks and improving agent-level observability.

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Into the Wild

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• Built a cross-platform AI survivalist chat application using Flutter and FastAPI, supporting web and Android users with real-time group chat, Google SSO, speech-to-text, image input, and AI-powered plant, animal, and survival-question assistance.
• Designed a cloud-native RAG and MLOps pipeline using iNaturalist and Wikipedia data, AWS Bedrock/Cohere embeddings, Pinecone, Gemini, Docker, Kubernetes on AWS EKS, and Terraform, with security, observability, and LLM evaluation through Cloudflare, Firebase, and Weights & Biases.

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CareerCon - Social Network

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• Built a full-stack job search and hiring platform for applicants, companies, and moderators, supporting applicant/company profile management, job posting and search, resume/CV management, application tracking, real-time alerts, AI chatbot assistance, and employer dashboards.
• Designed a scalable microservices and event-driven architecture using React, REST APIs, Auth0 SSO/2FA, MongoDB, Redis, RabbitMQ, Nginx, GitHub Actions, Tableau, and an LLM-powered RAG pipeline with LangChain, ChromaDB, and Gemini for semantic job search, skill extraction, and contextual career guidance.

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Distributed Document Query Engine

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• Architected a high-performance C++ and Go distributed query engine using gRPC for inter-node communication and OpenMP for parallel execution, enabling low-latency search across multi-gigabyte datasets.
• Optimized multi-threaded execution and memory utilization, achieving 29% faster query execution and improving CPU utilization efficiency by 35% over baseline implementations.

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AuditChain - Blockchain-Based Audit Logging System

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• Built a distributed blockchain-based audit logging system that records file access operations such as read, write, update, and delete with user metadata, timestamps, RSA digital signatures, and cryptographic verification to ensure tamper-proof audit trails.

• Implemented a private validator-node network using gRPC, Protocol Buffers, Merkle trees, SHA-256 block hashing, leader-based consensus, heartbeat monitoring, leader election, mempool processing, and two-phase block commit to provide reliable, fault-tolerant audit log validation.

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Emotion-Aware Agentic Customer Support System

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Developed an autonomous AI support agent that answers customer queries from help docs and monitors user emotions to flag poor experiences. Escalates to human agents when negative sentiment is detected.

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