Building structured, measurable and reliability-driven systems across:

AI Model Evaluation & LLM Benchmarking

Backend & Distributed Architectures

Database Systems (ACID, Concurrency, Normalization)

Network Security & Intelligence

Core Stack

Evaluating the Accuracy of Large Language Models in Code Generation Tasks

• Designed structured benchmarking framework • Evaluated correctness, optimization quality & logical consistency • Cross-domain algorithm validation • Analyzed reliability gaps in AI-assisted engineering

Selected Systems SentinelAI — AI Network Threat Detection

Real-time traffic inspection • ML anomaly modeling • Adaptive DDoS detection • Scalable monitoring architecture

Natural Language → SQL Engine

LLM-powered query synthesis • Prompt refinement pipeline • Query validation & safety layer

Distributed Airline Reservation System

Normalized relational schema • ACID transaction flow • Flask + MySQL backend • Concurrent booking management

IoT Air Pollution Monitoring

ESP32 integration • Real-time ingestion pipeline • Sensor fusion architecture

GitHub Activity

Focused on Research × Engineering × Performance